https://notes.andymatuschak.org/zvsdRnoY2BwhGgh9kwKPfWqPFS3wEDbVn1Ep
TODO ЕЩЕ РАЗ ПЕРЕЧИТАТЬ
!!!Мета-рациональность
[[ Мета-рациональность: Смысл|https://metarationality.com/introduction]]
Некоторые люди способны преодолевать неопределенные ситуации, которые, кажется, сбивают с толку опытных и умных людей. Они делают это, используя то, что Чепмен называет «мета-рациональностью»: они уменьшают масштаб формальных, четко определенных систем, чтобы включить случайные свойства ситуации.
Это редкий навык. Одна из причин заключается в том, что такого рода понимание требует как опыта в соответствующих формальных системах, так и этих «мета-рациональных» методов, но последним нельзя обучить формально. Поскольку мета-рациональность настолько ситуативна, она часто невыразима. Это очевидно, когда кто-то использует индукцию в качестве аргумента в доказательстве; часто неочевидно, когда люди используют мета-рациональные методы, чтобы ориентироваться в туманной ситуации.
"""
Q. Какой (новый) пример рационализма разрушает ситуацию на рабочем месте?
А. (например, процесс принятия решений неумолимо ведет к решениям, с которыми все согласны, кажутся неправильными)
"""
!!!Рациональность и холодильники
[[Рациональность и холодильники, Смысл|https://meaningness.com/eggplant/refrigerator]]
Кажется разумным попытаться верить только истинным утверждениям. Но часто это невозможно: в большинстве случаев истинность зависит от {«кто спрашивает и почему».
Связанный: [[Формулируйте вопросы поиска истины в терминах «до какой степени?» и «в каком смысле?» а не в бинарной логике "да/нет"]].
Это не делает ответы менее важными: часто в данной ситуации действительно есть «правильная» истина, и ее правильное понимание может быть невероятно важным. Мета-рациональность подходит к этой нечеткости не в постмодернистском смысле («истина создается социально!»), Но путем построения рациональных систем для создания большего смысла в контексте.
"""
Q. Как два толкования слова «есть ли вода в холодильнике?»
А. 1. Нет, в холодильнике нет питьевой воды; 2. В клетках баклажана есть вода.
Q. Что является характерным мета-рациональным возражением на вопрос « Истинно ли X ? »
А.„В каком смысле?“
"""
!!!Облака и баклажаны
[[Облака и баклажаны, Смысл|https://meaningness.com/eggplant/nebulosity]]
Туманность - это сила, которая требует метарациональности: рациональные системы не могут давать вечно верные ответы в человеческих ситуациях, потому что эти ситуации неизбежно расплывчаты при внимательном рассмотрении.
Проблема не в том, что мы не можем определить фактический ответ на точные вопросы: у нас есть для этого формальные инструменты. Проблема в том, что вопросы человеческого масштаба обычно не сформулированы (и часто не могут быть сформулированы) достаточно точно для того, чтобы формальная система могла применяться последовательно.
Облака - отличный пример существенной туманности.
"""
Q. Почему граница облака нечеткая?
A. Они просто становятся менее плотными по краям. Нет определенного момента, в котором он начнется или остановится. Ответы о границах облака зависят от того, почему вы спрашиваете.
Q. Почему идентичность облака неясна?
А. Это два облака или две части одного облака? Трудно сказать; зависит от того, почему вы спрашиваете.
Q. Почему категория облака нечеткая?
A. Есть категории облаков, таких как перистые и высококучевые облака, но они непрерывно переходят друг в друга.
Q. Почему облако имеет туманную форму?
A. Они сложные и очень подробные, но общие фразы, такие как «листы» и «нити», по-прежнему имеют значение во многих ситуациях.
""""
!!!Революция доверия в эпоху постправды
[[Революция доверия в эпоху постправды, Смысл|https://meaningness.com/eggplant/credibility-post-truth]]
Одно из объяснений того, что [[Научный прогресс, похоже, замедляется]] может заключаться в том, что их упор на системную рациональность делает творчество редким: стимулы имеют тенденцию к механическому повороту кривошипа, неспособному отразить смысл того, что производится, как это должно производиться, какие проблемы должны решать решаться и т. д.
::Творчество проистекает из удивления, любопытства, игры и удовольствия. Они занимают видное место в биографиях великих ученых и изобретателей. Существующие институциональные механизмы отталкивают их в пользу постоянного конкурентного давления в пользу бессмысленной механической производительности.
Современная культура («постмодернизм») признала, что универсальные рациональные системы («современность») не поддаются обработке, но это привело к катастрофическому полному отказу от рациональности и убежденности в том, что невозможно оценить «истину» на уровне все, даже в условном, ситуативном смысле. Эти системы по-прежнему полезны - просто они не абсолютны.
!!! Часть первая: серьезное отношение к рационализму
[[Часть первая: серьезное отношение к рационализму.Смысл|https://meaningness.com/eggplant/rationalism]]
!!!Рациональность, рационализм и альтернативы
[[Рациональность, рационализм и альтернативы.Смысл|https://meaningness.com/eggplant/rationalism-definitions]]
''Рациональность'' подчеркивает «формальные, систематические, явные, технические, абстрактные, нетипичные, неочевидные способы мышления и действий». Чепмен также отмечает, что один из способов думать о формальной системе - это процедура, которую можно напечатать в книге и которой можно следовать (как [[Исполняемая стратегия]]). Рациональность стремится быть универсальной.
Чепмен придумывает термин {"рационализм"} для описания веры в {универсальную эффективность рациональности}.
Такие убеждения обычно включают объяснение того, почему рациональность работает с использованием рациональной системы, например, путем определения функции принятия решений для истинных убеждений. Рационализм нормативен: люди, придерживающиеся этих убеждений, думают, что другие тоже должны их придерживаться, и они будут продвигать их соответственно. Было бы неплохо, если бы какой-то вид рационализма был правдой, но это не так: мир слишком туманный.
Напротив, Чепмен определяет {«разумность»} как {повседневное значение слова «рациональное»: разумное действие, которое, вероятно, сработает в данный момент}.
Рационализм рассматривает разумность как плохую попытку рациональности, но это ошибка: он дает хорошие ответы в некоторых ситуациях, когда рациональность - нет.
«Мета-рациональность» - это практика {согласования} надлежащего использования рациональности и разумности для данного контекста. Это отличается от антирациональности, которая заключается в убеждении, что {систематическая рациональность не работает при надлежащем применении}. Это также отличается от иррациональности, которая {неспособность действовать эффективно, ни разумно, ни рационально}.
«Мета-рационализм» заменяет рационализм: «как, когда и почему работают разумность, рациональность и мета-рациональность».
"""
Q. В каком смысле рационализм нормативен?
А. Рационалисты считают, что люди должны соответствовать своему определению рациональности, когда это возможно.
Q. Какой межличностный фактор отличает определение «рационалиста», данное Чепменом, от человека, который считает, что рациональность полезна?
А. Рационалисты активно продвигают рационализм; их убеждения нормативны, а не просто описательны.
Q. Почему метарациональность не является «альтернативой» рациональности?
A. Мета-рациональность заключается в выборе подходящих рациональных методов в данной ситуации, поэтому она бесполезна без рациональности.
Q. Различайте антирациональность и иррациональность.
A. Антирациональность - это явное отрицание ценности систематической рациональности, тогда как иррациональность - это неспособность действовать эффективно в данной ситуации.
Q. Почему противоречиво представлять себе, что метарациональность означает применение рациональности к самой себе?
A. Одно из основных утверждений мета-рациональности заключается в том, что вы не можете использовать систематическую рациональность, чтобы выяснить, как применить разумность и рациональность в данной ситуации.
""""
Большинство людей не замечают, что на самом деле они не так решают большинство проблем в своей жизни (после того, как они бросают школу).
!!!Реакция рационализма на неприятности
[[Реакция рационализма на неприятности.Смысл|https://meaningness.com/eggplant/rationalism-responses]]
Капризы, с которыми сталкиваются формальные системы, бывают разных видов, которые выглядят одинаково, но в конечном итоге представляют собой очень разные корневые ситуации:
# Расплывчатость представления: неточность в спецификации, запросе или модели. Рационализм пытается справиться с этой двусмысленностью, вводя более точные системы (например, формальную логику).
# Эпистемологическая неопределенность: у вас недостаточно доказательств, чтобы сделать вывод («известные неизвестные»), или вы спотыкаетесь о «неизвестных неизвестных». Рационализм занимается этим, используя такие вещи, как байесовские рассуждения.
# Онтологическая туманность: «Шипучая, нечеткая, текучая неопределенность самого мира». Рационализм часто неверно интерпретирует это как одну из двух других неопределенных ситуаций или же пытается решить эти ограничения, прибегая к большему количеству «логических вещей».
"""
Q. Контрастная онтология и эпистемология.
А. Онтология - это то, что есть, а эпистемология - это то, что мы знаем.
Q. Каков пример онтологического вопроса?
А. (например, какие существуют категории вещей? Каковы свойства этой категории? Каковы отношения между этими вещами?)
Q. Почему рациональность плохо справляется с вопросами онтологии?
A. Онтология по своей сути туманна: границы категорий человеческого масштаба нечеткие и контекстные.
"""
!!!Позитивный и логичный
[[Позитивно и логично. Смысл|https://meaningness.com/eggplant/logical-positivism]]
Логический позитивизм был попыткой объединить дедуктивное мышление и интуицию (которую Чепмен называет «рациональностью») и чувственный опыт (эмпиризм). То есть они хотели обеспечить логическую основу для {научного метода: общие утверждения, основанные на экспериментальных данных}.
Его первоначальный подход следовал пути, который Чепмен называет «логицизмом»: по сути, математическая логика предикатов применялась к более широким вопросам эпистемологии. В идеале нужно начать с использования логики, чтобы доказать, что логика работает так, как мы ожидаем. Это не сработало (см. Гёдель).
Позже она перешла к подходу, который Чепмен назвал «вероятностностью», что похоже на теорию вероятностей в применении к эпистемологии. Если вы видите, как солнце восходит на Востоке тысячу раз, вы не можете сделать вывод, что оно всегда восходит на Востоке, но вы можете быть все более уверены, что это произойдет. Логические позитивисты пытались объединить этот вид вероятностных рассуждений с логикой предикатов, но (согласно Чепмену) потерпели неудачу. Классические посты Less Wrong, кажется, предлагают этот тип эпистемологии.
"""
Q. Откуда берутся истинные утверждения в том, что Чепмен называет «логицизмом»?
А. Другие истинные утверждения, полученные с помощью математических выводов.
"""
!!!В мире все, что есть
[[В мире все, что есть на самом деле.Смысл|https://meaningness.com/eggplant/Aristotelian-logic]]
Один из способов карикатурировать логицизм - представить себе, что у вас в голове есть список предложений, каждое из которых вы пометили как «истинное» или «ложное». Это смешно, потому что многое нельзя пометить таким образом. Хороший пример Чепмена: «Так у Ханны и Мартина роман или как?» «Вроде ... Они на самом деле этого не сделали, но вчера вечером они часами целовались на скамейке в парке».
Если вы будете настаивать на этом, никто на самом деле не станет утверждать, что считает, что они так думают, но многие теории эпистемологии, особенно теории логицизма, похоже, полагаются на эту фундаментальную модель.
Q. Что Витгенштейн имел в виду, говоря: «Мир - это все, что имеет место»?
А. Он предполагает, что мир определяется списком всех истинных утверждений (то есть логицизмом).
См. также эту красивую сноску:
::«Мир - это все, что имеет место» - это первое предложение и центральный тезис «Логико-философского трактата» Людвига Витгенштейна, одного из центральных текстов логического позитивизма. «Позитивизм» иногда определяют как утверждение, что мир - это не что иное, как список всех истинных утверждений. И действительно, второе предложение Витгенштейна звучало так: «Мир - это совокупность фактов, а не вещей».
!!!Зависит от значения слова «есть».
[[Зависит от значения слова «есть». Смысл|https://meaningness.com/eggplant/formal-logic]]
Одна очевидная проблема логицизма состоит в том, что обычный язык часто неоднозначен. «Собака - самоед». Какая собака? Любая собака? В 1879 году Готтлоб Фреге разработал логический синтаксис, который устранил подобную двусмысленность, добавив универсальные и экзистенциальные кванторы. Так, например, вы можете сказать: «Есть собака, которая является самоедом», или «этот однозначно идентифицируемый символ собаки - самоед».
Проблема здесь в том, что мы можем правильно интерпретировать такие предложения, как «Собака - самоед». Просто их интерпретация требует контекста, а эти типы формальных логических систем не могут включать такого рода случайности.
"""
Q. Как рационалисты решают неоднозначный язык?
A. Придумывайте и общайтесь на точном и конкретном языке.
Q. Почему утверждение «собака - самоед» требует мета-рациональности?
A. Это контекстно: какая собака? Зависит от того, кто и почему спрашивает.
"""
!!!Ценность бессмысленности
[[Ценность бессмысленности. Смысл|https://meaningness.com/eggplant/meaninglessness]]
«Идеализм» Гегеля отстаивал своего рода солипсизм. Как резюмировал Бертран Рассел:
::Время и пространство нереальны, материя - иллюзия, а мир состоит только из разума.
Логические позитивисты называют это утверждение ни истинным, ни ложным, а бессмысленным , привнося в логику новое значение. Они также ввели «неизвестное». Этот шаг был назван «многозначной логикой», и он решил некоторые технические проблемы, но в конечном итоге был включен в теорию вероятностей, которая может делать более детальные утверждения об истинности.
Q. Как логические позитивисты ответили на утверждения вроде «Мир состоит из ничего, кроме разума?»
A. Они объявили эти утверждения «бессмысленными», введя новую ценность истины.
!!!Правда вопроса
https://meaningness.com/eggplant/sort-of-truth
Предложения в человеческом масштабе редко бывают истинными или ложными. Они часто «в целом» верны, «верны в принципе» или «в значительной степени» верны. Проблема здесь в том, что арифметика как логицизма, так и вероятности зависит от абсолютных значений истинности. Непонятно, какие выводы можно сделать на основе переменной, которая «в принципе истинна».
Рационализм часто неверно интерпретирует эту проблему как неопределенность или неточность. Иногда бывает так! Когда это так, вы можете определить более точный синтаксис или рассматривать вещи вероятностно. Но часто значение истинности онтологически туманно: если «Ален лысый» - это «почти правда», проблема не в неопределенности (он лысый с p = 0,8) или даже в неточности (он лысый на 80%). Скорее, степень его облысения зависит от того, почему вы спрашиваете.
Мы хотим знать кое-что о твороге, танцевальных движениях и дрессировке щенков, но в них нет ничего абсолютно верного. Очевидно, что в здравом смысле о них правдиво множество всего. Но мы даже не можем однозначно сказать, является ли что-то творогом. Всегда есть маргинальные случаи, например, творог, который слишком долго хранился в холодильнике и постепенно превращается во что-то другое. Не совсем верно и то, что творог белый. Это только «более или менее верно»; приглядевшись, он слегка желтоватый.
В. Почему проблема в том, что арифметика логицизма и вероятности зависит от значений абсолютной истины?
A. На практике предложения человеческого масштаба часто «в некотором роде» верны, и неясно, как формальные системы работают с этими ценностями.
!!!Reductio ad reduceem
[[Reductio ad reduceem.Смысл|https://meaningness.com/eggplant/reductionism]]
Прекрасная фантазия: каждая тема должна быть выражена в терминах какой-то темы «более низкого уровня», биологии поверх химии поверх физики. Такие сокращения часто весьма полезны - см., Например, уровни абстракции в информатике и законы идеального газа. Но полные научные сокращения встречаются довольно редко. На практике обычно бывает так, что либо термины высокого уровня не могут быть полностью определены в терминах следующего уровня, либо абстракции более низкого уровня «просачиваются» в термины более высокого уровня.
Биологи могут связно объяснить множество явлений, несмотря на их неспособность свести клетки к химии, поэтому мы должны найти какой-то другой способ понять этот тип рациональности.
!!!Плоды баклажаны?
[[Плоды баклажаны? Смысл|https://meaningness.com/eggplant/definition]]
Рационализм отвечает на онтологическую туманность, пытаясь более точно определять термины. То есть он пытается свести составляющие к «онтологически определенным» терминам - терминам, которые могут быть либо абсолютно истинными, либо ложными в отношении объекта (например, 3 - простое число). Но обычно это невозможно для объектов человеческого масштаба, интерпретация свойств которых обычно зависит от контекста.
Пример, который использует Чепмен: «Баклажан - это фрукт?» Ботанически да; кулинарно нет. Мы можем быть более конкретными, чтобы избежать этой двусмысленности. Но тогда мы должны спросить: что делает его фруктом с ботанической точки зрения? Ну, это семя, и это часть покрытосеменного… но что означает «часть покрытосеменного», когда оно отделено от растения? Есть множество исключений и угловых случаев, каждое из которых кажется сговорчивым в данный момент, но они не заканчиваются; вы не можете дать исчерпывающего определения.
Это не проблема с нашим использованием языка: «Проблема не в том, что мы не можем получить утверждение, относящееся к правильной категории. Дело в том, что в мире нет четкой разделительной линии, которая надежно выполняет ту работу, которую мы хотим… Проблема заключается в территории, а не в карте ».
И все же в повседневной жизни мы можем задавать подобные вопросы и отвечать на них без видимых проблем.
"""
Q. Почему сложно ответить «баклажаны - плоды?»
A. Например, они являются фруктами с точки зрения ботаники, но не с точки зрения кулинарии.
Q. К каким объектам и свойствам верен рационализм?
А. Онтологически определенные объекты и свойства - абсолютно очерченные, присутствующие или отсутствующие в категории, без туманностей.
Q. Почему нельзя преобразовать «баклажаны в плоды»? в абсолютно точный вопрос?
A. Существует неизбежная семантическая двусмысленность: категория, к которой мы пытаемся получить доступ, не четко очерчена в физической реальности, поэтому мы не можем составить слово, указывающее на это определение.
"""
!!!Когда ты станешь лысым?
[[Когда ты станешь лысым? Смысл|https://meaningness.com/eggplant/vagueness]]
Один из видов туманности - это количественное изменение, то есть свойство, которое изменяется вдоль континуума, а не занимает всего несколько дискретных значений. Иногда с этим хорошо справляется рационализм (в литературе это называется «расплывчатостью»). Если переменная на самом деле является непрерывной, то она может формально моделировать этот континуум (оттенки серого как значения яркости от 0 до 1). Если количественная вариация заключается в том, насколько мы уверены в себе - это эпистемическая проблема, - тогда мы можем ввести вероятность, чтобы справиться с ситуацией.
Но это не относится ко всем подобным ситуациям. Рассмотрим утверждение «Ален лысый». Это правда? У него все еще есть волосы, но они в порядке и в основном около ушей. Подсчет волос не поможет вам ответить на вопрос: проблема не в том, что у вас нет точного количественного измерения. Вероятностная формулировка предложения не поможет (Ален лыс с p = 0,73): проблема не в том, что вы не уверены, лысый ли Ален. И также не тот случай, когда онтологически он «0,9 лысый»: проблема не исчезнет, если вы приложите числа к значению истинности. Тем не менее, вы можете взглянуть на него, и видно, что он лысый.
"""
Q. Какие 3 подхода использует рационализм для устранения неопределенности, возникающей из-за количественных различий?
А. Присоединение вероятностей; методы формального измерения и логики; присвоение числа онтологической истинностной ценности
Q. Почему не помогает теория вероятностей, если «Ален лысый» «в значительной степени» верно?
А. Проблема не в неопределенности; его облысение зависит от того, почему вы спрашиваете.
Q. Почему методы формального измерения и логики не помогают, когда «Ален лысый» «в значительной степени» верно?
A. Подсчет количества волос у него не помогает: его облысение зависит от того, почему вы спрашиваете.
Q. Почему не помогает прибавить число к истинности фразы «Ален лысый»?
А. Совершенно не ясно, как вы могли бы использовать это число. Проблема в том, что значение истинности утверждения зависит от контекста.
"""
!!!Приближение перегрузки
[[Приближение овердрайва. Смысл|https://meaningness.com/eggplant/approximation]]
Подход инженера к проблеме туманности может заключаться в следующем: все дело в том, чтобы получить модель, которая дает достаточно хорошие приближения. Проблема здесь в том, что для хорошей модели приближения требуется четко понимаемая область применимости (в которой она хорошо работает) и ограниченная ошибка (описывающая, насколько серьезно она может потерпеть неудачу). В физике и электротехнике у нас могут быть эти модели. Но в повседневной жизни мы обычно не знаем всех условий применимости; Решение, как, когда и почему применять данную приближенную модель, само по себе является мета-рациональной задачей.
Связанная с этим интересная проблема заключается в том, что для нечисловых явлений аппроксимация часто является неподходящим способом размышления о заявлении:
::Какой-то конкретный фрагмент ДНК приблизительно не является геном. Это определенно может быть один или нет, и это может быть «своего рода» ген, но никогда ген «с точностью до ошибки». … Способы рассуждения, которые работают для численно приближенной истины, не работают для обычно адекватной истины, поэтому приближение не является адекватной общей моделью адекватности модели.
"""
Q. Почему недостаточно того, что рациональные модели «приблизительно верны»?
A. Это действительно только для моделей, подобных физике. Для вопросов человеческого масштаба их области применимости нечетко определены, а границы их ошибок зависят от контекста.
"""
!!!Ссылка: проблема реальности рационализма
https://meaningness.com/eggplant/rational-reference
Один из удивительных и тонких способов разрушения рационализма состоит в том, что сама ссылка нечеткая. «Саманта Самоед белая» описывает связь между свойством (быть белым) и ссылкой на собаку (Саманта Самоед), но эти отношения очень трудно обосновать абсолютно в физической реальности. На практике этот вид упоминания согласовывается на основе контекста - например, может быть, я нашел белую собаку с ошейником с надписью «Саманта», что может сделать это утверждение более правдивым.
!!!Национальный реестр омлетов
[[Национальный реестр омлетов. Смысл|https://meaningness.com/eggplant/identity]]
Многие повседневные утверждения туманны, потому что для обозначения объектов в них используются указатели : «Мой омлет больше». Истинность этого утверждения зависит от того, кто говорит. Чтобы сделать такие утверждения онтологически определенными, вам нужно будет заменить любые индексирующие числа абсолютными идентификаторами: «Омлет 92349817 больше, чем омлет 8951875». Но, увы, «национального реестра омлетов нет». И не может быть даже в принципе, потому что границы объектов онтологически не определены.
Опять же, тем не менее, на практике это редко создает проблемы, потому что с этим может справиться простая разумность.
"""
Q. Почему нельзя сделать утверждение «Мой омлет больше» онтологически определенным?
A. Вам нужно заменить «мой омлет» абсолютной ссылкой на объект, что невозможно.
!!!Объекты, объективно
[[Объекты объективно. Смысл|https://meaningness.com/eggplant/objective-objects]]
Расплывчатые утверждения нельзя сделать онтологически определенными, сводя все к утверждениям квантовой физики, потому что границы объектов человеческого масштаба не могут быть определены с онтологической определенностью.
Фейнман хорошо об этом говорит:
::Что такое объект? Философы всегда говорят: «Ну, возьмем, к примеру, стул». В тот момент, когда они это говорят, вы понимаете, что они больше не понимают, о чем говорят. Время от времени из него испаряются атомы - не много атомов, а несколько - на него падает грязь и растворяется в краске; поэтому точно определить стул, точно сказать, какие атомы являются креслом, а какие - воздухом, или какие атомы являются грязью, или какие атомы являются краской, принадлежащей креслу, невозможно. Так что массу стула можно определить только приблизительно.
::В мире нет ни одного, оставленного в покое объекта. Если мы не будем слишком точны, мы можем идеализировать стул как определенную вещь. Можно предпочесть математическое определение; но математические определения никогда не работают в реальном мире
На практике мы можем работать с неопределенными объектами, но всегда с учетом контекста. Часто ограничения определений не имеют значения, но «мета-рациональные вопросы таковы: имеет ли это значение для определенной цели? Если да, то как и почему? Что это означает относительно того, как нам следует использовать рациональность? »
"""
Q. Опровергните представление о том, что объекты субъективны или созданы социально.
A. Например, Плутон существовал задолго до того, как он был открыт в двадцатом веке.
Q. Опровергните: «Объекты туманны, но у них есть определенная сердцевина; они просто нечеткие по краям ».
A. Два облака связаны тонким усиком. Одно или два облака?
Q. Опровергните: «Объекты туманны из-за физического недетерминизма».
А. Граница облака все равно была бы туманной, даже если бы вы могли заморозить всю его материю.
"""
!!!Это баклажан, который я вижу перед собой?
[[Это баклажан, который я вижу перед собой? Смысл|https://meaningness.com/eggplant/rationalist-perception]]
Если мы собираемся делать заявления об объектах в мире, нам необходимо определить соответствующие роли восприятия и разума. Возможно, рациональность может поглощать истинные утверждения и производить новые, но откуда берутся исходные истинные утверждения? В конечном итоге должен быть некий аксиоматический источник истины. В этой главе обсуждается сложность согласования этого интерфейса с помощью четырех распространенных подходов.
Возможно, результат восприятия - это набор утверждений о том, что вы видите. Но какой синтаксис можно использовать в этих операторах? Можно ли воспринимать баклажан? Если вы говорите «нет», вы оставляете рациональность, чтобы уверенно классифицировать «баклажан» по набору дескрипторов (что, как мы уже отметили, невозможно). Если вы скажете «да», то как вы сможете выучить новые ярлыки, если такие процессы начинаются с определений, выраженных на рациональном уровне?
Другой подход может заключаться в том, чтобы восприятие выводило необработанные нейтральные наблюдения. Но теперь мы переходим к редукционистским проблемам дырявых абстракций: только потому, что вы знаете, что что-то фиолетовое, овальное, твердое и горькое, вы не можете знать, что это баклажан.
Еще один подход состоит в том, чтобы устранить разделение и заставить рациональность делать все, потребляя сырые сенсорные стимулы. Это фактически модель, используемая современными системами «глубокого обучения», которые потребляют необработанные пиксельные данные. Но неясно, как это могло быть возможно, учитывая огромную пропускную способность.
Последний подход - доверять только объективным научным инструментам для формирования своих убеждений. Но эти инструменты также подвержены ошибкам и содержат много теории.
!!!Во что вы можете верить?
[[Во что вы можете верить?|Смыслhttps://meaningness.com/eggplant/propositions]]
Одна довольно абстрактная проблема с рациональностью заключается в том, что она занимается утверждениями и убеждениями, но неясно, что это на самом деле. Предположительно они нефизические, но они по-прежнему значимо связаны с реальностью, поскольку одни предложения делают прогнозы, которые надежно коррелируют с измерениями, а другие - нет. Они независимы от разума, поскольку, например, масса протона была массой протона до того, как мы узнали, что это такое. Но какую роль они играют в рассуждениях и как? Чепмен утверждает, что ни одно из стандартных объяснений не работает (но не очень конкретно о том, как / почему).
!!!Откуда у вас вообще эта идея?
[[Откуда у вас вообще эта идея? Смысл|https://meaningness.com/eggplant/no-new-ideas]]
Если рациональность заключается в выборе между множеством альтернатив, откуда берутся эти альтернативы? Как рождаются новые идеи? Одно из объяснений состоит в том, что изобретение по своей сути нерационально, но очевидно, что в нем происходит что-то связное. Чепмен предсказывает, что метарациональность лучше объяснит, как возникают новые альтернативы.
!!!Испанская инквизиция
[[[Испанская инквизиция. Смысл|https://meaningness.com/eggplant/closed-world]]
Рациональность может объяснить все известные и известные неизвестные, но она не может сделать надежных выводов о реальности, потому что существует бесчисленное множество неизвестных неизвестных.
На практике, мы действительно сделать рабочие выводы регулярно, но это зависит от мета-рациональных движений, как обращение к идеализированным сценариям, делая мир менее туманным, или с помощью «реальности проверки» на выходах рационального вывода. Но решение, когда и как применять эти стратегии, требует мета-рациональных навыков.
!!!Вероятность
[[Вероятность. Смысл|https://meaningness.com/eggplant/probabilism]]
Вероятность часто предлагается как усовершенствование логики основ рациональности. Он характеризуется использованием теории вероятностей и теории принятия решений. Вероятностная рациональность очень полезна, но только в некоторых ситуациях. Например, это не поможет вам справиться с репрезентативно расплывчатыми ситуациями («этот омлет - мой») или онтологически неопределенными ситуациями («Ален лысый»).
!!!Выход из казино
[[Выход из казино. Смысл|https://meaningness.com/eggplant/probabilism-applicability]]
Вероятностная рациональность лучше всего применима к ситуациям, в которых вы достоверно знаете {действия, которые могут быть предприняты, результаты, которые могут произойти, и выплаты, относящиеся к каждому действию / результату}. В действительности это редко бывает правдой.
!!!Какая вероятность не может
[[Какая вероятность не может. Смысл|https://meaningness.com/eggplant/probability-limitations]]
В этой главе исследуется, что это означало бы, если бы вероятности верны. Если бы вероятности сработали, это дало бы нам процедуру, которую мы могли бы выполнить, чтобы определить, насколько сильно мы должны верить утверждению, учитывая набор восприятий и предварительных знаний. Это имеет смысл в контексте игр со справедливыми ставками, но очень немногих других.
!!!Вероятность зеленого сыра
[[Вероятность зеленого сыра. Смысл|https://meaningness.com/eggplant/small-world]]
Невозможно перечислить неизвестное в ситуации. Вы не можете перечислить полный список возможных исходов. Рассмотрение чего-либо в повседневной жизни с использованием теории вероятностей требует, чтобы вы сделали «идеализацию маленького мира» - что для вас разумно сложить «все ситуации, которые вы не учли» и придать этой группировке некоторый вес. На практике это не всегда разумно.
Чепмен приводит отличный пример: вы наводите спектрометр на астероид, и он говорит вам, что с очень высокой вероятностью он видит зеленый сыр. Вы все равно, вероятно, не поверите, потому что, возможно, кто-то попал на датчик во время чистки, или, может быть, кто-то пошутил, или что-то еще. Каковы вероятности этого? Вы не можете знать, и программное обеспечение спектрометра определенно не учитывает это. Вы должны сами оценить разумность, используя метарациональность.
"""
Q. Почему проблема вероятности заключается в том, что вы не можете перечислить набор возможных результатов?
A. Это означает, что вы не можете довести вероятности всех результатов до 1,0, что является предположением математики.
Q. Что такое «идеализация маленького мира» в контексте вероятности?
A. Объедините все результаты, о которых вы не думали, и оцените вероятность этого - теперь сумма вероятностей равна 1,0!
"""
!!!Статистика и кризис репликации
[[Статистика и кризис репликации. Смысл|https://meaningness.com/eggplant/probabilism-crisis]]
Люди думают, что кризис репликации науки связан с тем, что люди делают ошибки в своих статистических расчетах. Но это поверхностный взгляд. Более глубокая проблема заключается в том, что даже если расчеты верны, люди делают неправильные выводы из этих анализов - например, ошибочно предполагая некую тотемную истинность p-значений. Тем не менее, даже избежать этих ошибок вывода недостаточно, потому что сами анализы содержат множество встроенных предположений, которые могут или не могут выполняться, и которые не может оценить никакой алгоритм в закрытой форме.
::Там нет никакой замены для упрямого любопытства, на самом деле выяснить, что происходит; и нет фиксированного метода для этого. Наука не может быть сведена к какому-либо фиксированному методу или оценена никаким фиксированным критерием. Он использует методы и критерии; это не определяется и не ограничивается ими.
"""
Q. В каком смысле кризис научного воспроизводства означает нечто большее, чем просто ошибки в расчетах в рамках формальной системы?
A. Это также связано с неправильным пониманием того, какие выводы верны.
Q. В каком смысле кризис научного воспроизводства означает нечто большее, чем просто неверные выводы из правильно выполненного формального анализа?
А. Этот формальный анализ делает идеализации маленького мира, которые не всегда верны.
Q. Что, по мнению Чепмена, должно заменить значения p в качестве эвристики для научной легитимности?
A. Вопрос с подвохом: нельзя использовать алгоритм в закрытой форме. Нет замены действительному мышлению.
"""
!!!Действуя по правде
[[Действуя по правде. Смысл|https://meaningness.com/eggplant/action-in-rationalism]]
До сих пор мы в основном говорили о попытках рационализма отыскать истину. Но подразумевается, что, узнав правду, вы можете выбрать лучшее действие для выполнения.
Одна из проблем заключается в том, что определение того, какое действие выполнить, часто связано с невыполнимыми вычислениями из-за экспоненциального числа комбинаций возможных действий и результатов. Мы упрощаем вычисления с помощью эвристики, но выбор правильной эвристики требует мета-рациональных рассуждений. Фактически, на практике мы часто можем выбрать правильные действия, не будучи в состоянии их предсказать или понять.
Более глубокая проблема заключается в том, что «действие» на самом деле не является отдельной операцией. Он постоянно реагирует на конкретную ситуацию, в которой вы находитесь, - устойчив к видам обобщений, которые хочет сделать рационализм.
---
!!!Часть вторая: серьезное отношение к разумности
[[Часть вторая: серьезное отношение к разумности. Смысл|https://meaningness.com/eggplant/reasonableness]]
Первая часть «Баклажана» посвящена разрушению рациональности - почему рационализм не является разумной полной эпистемологией. Но систематическая рациональность делает часто работу, и мы в состоянии принимать решения в повседневных ситуациях с достаточной надежностью. Это зависит от понятия, которое Чепмен называет ''разумностью''.
!!!Этнометодологический флип
Этнометодологический флип | Смысл
Баклажан собирается привести аргумент, что, хотя рационализм рассматривает разумность как неполноценное приближение к рациональности (то есть подмножество с потерями), мы должны вместо этого рассматривать рациональность как специализированное приложение разумности.
"""
Q. Что такое «этнометодологический флип» баклажана?
A. Рассматривайте рациональность как специализированное применение разумности, а не разумность как неполноценное приближение к рациональности.
"""
Многие люди пишут о "решениях проблем", которые связаны с тем, что [[Практика написания заметок у людей, как правило, неэффективна]]. Подавляющее большинство этих статей фиксируется на близорукой рамке типа «лайфхакинга», сосредоточенной на ответах на такие вопросы, как: «как мне организовать свои заметки?», «Какой журнал мне использовать?», «как я могу облегчить захват фрагментов прочитанного?» и т. д.
Ответы на эти вопросы неудовлетворительны, потому что вопросы сосредоточены на неправильном. Цель не в том, чтобы делать заметки, а цель в том, чтобы мыслить эффективно. Лучшие вопросы: «Какие практики могут помочь мне надежно развивать идеи с течением времени?», «Как я могу эффективно привлечь внимание?» и т.д. Это рамка, в которой [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] имеет смысл: [[Написание вечнозеленых заметок помогает накапливать понимание]].
С точки зрения технологии, важно не «ведение заметок с поддержкой компьютеров», а «мышление, поддерживаемое компьютером».
Легко сосредоточиться на «заметке», потому что это видимый компонент невидимой практики: если вы видите, как в их блокноте кто-то проницательный пишет, вы можете себе представить, что если вы получите правильную тетрадь и хорошо ее организуете, вы тоже будете проницательны. И, конечно же, делать заметки ощутимо. Это относительно легко, и это *похоже*на то, что делать что-то, даже если это бесполезно ([[Неэффективная практика написания заметок дает слабую обратную связь]]). Так что это привлекательная неприятность.
[[Люди, которые много пишут о написании заметок, редко имеют серьезный контекст использования]].
Центральное занятие в игровом дизайне: ''«найди удовольствие»''. Принципы, рамки, процессы и т. д. - вторичны по отношению к этой цели.
Этот ключевой факт сразу же проливает свет на одну основную причину, по которой [[Обучающие игры - это обреченный подход к созданию благоприятной среды]]. См. также [[Развитие навыков в играх подчинено другим внутренне значимым целям]].
«Удовольствие» выражается через действие ; см. [[Игра - это эстетическое средство действия]].
При рассмотрении возможностей обработки информации человеком [[Объем рабочей памяти, в основном, не зависит от сложности элемента]], поэтому мы должны различать количество обрабатываемых элементов («фрагмент», ограниченный [[Объем рабочей памяти]]) и сложность каждого элемента (ограниченный отдельно, по [[Диапазон абсолютного суждения]]).
Миллер пишет (1956, с. 92):
У меня появилась привычка различать биты информации и фрагменты информации. Тогда я могу сказать, что количество битов информации постоянно для абсолютного суждения, а количество фрагментов информации постоянно для непосредственной памяти.
Критично: [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]], а [[Перекодирование может увеличить размер чанка]].
Части могут представлять довольно абстрактные атрибуты, особенно с более сложными схемами перекодирования: например, музыкант, импровизирующий о «напряжении», или шахматист, думающий о «силовых линиях».
!!!References
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. https://doi.org/10.1037/h0043158 "Miller - The magical number seven, plus or minus two". [[Миллер - Волшебное число семь, плюс или минус два]].
!!!План разговора
* [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].
** краткая история [[Интеллектуальный труд]] (призыв к экономическому росту и т. д.)
** [[Наука управления фокусируется на работе со знаниями на уровне фирмы и менеджера, а не на уровне отдельного человека]]
** [[Мы не знаем, как измерить продуктивность работников умственного труда]]
* [[Основные практики в работе с знаниями часто являются ad-hoc]]
* [[Знания должны срастаться]]
* [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]]
** [[Глубокое понимание требует детального знания основ]]
** [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].
** Представляем [[Quantum Country]]
*** [[Эффект тестирования]]
*** [[Системы интервального повторения чрезвычайно эффективны]]
**** [[Эффект интервала]]
*** [[Системы памяти с интервалом повторения делают выбор в пользу памяти]]
*** [[Влияние мнемонического носителя на память читателя]]
** [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]].
* Серьезно относиться к заметкам
** [[Практика написания заметок у людей, как правило, неэффективна]]
** [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]
*** [[Люди, которые много пишут о написании заметок, редко имеют серьезный контекст использования]]
** представляем [[Zettelkasten]]
*** [[Написание вечнозеленых заметок помогает накапливать понимание]]
** [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]]
* обобщение: [[Системы интервального повторения могут использоваться для программирования внимания]]
* интервалы повторения и почтовые ящики
** [[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]]
** [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]]
** [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]]
** [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]]
!!!Мета информация
* Позиция:
** представление незавершенной работы
** больше о том, чтобы задавать вопросы, чем давать ответы
** определенно не здесь, чтобы предоставить полезные решения
* Что получает публика:
** Глаза открылись для множества увлекательных вопросов, которые лежат в основе каждого дня их работы.
** Чувство волнения и возможности, мотивированные несколькими примерами возможного прогресса
* Принципы:
** [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]
*** [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]
*** [[Знания должны срастаться]]
[[Практика написания заметок у людей, как правило, неэффективна]]
[[Неэффективная практика написания заметок дает слабую обратную связь]]
* Чтение и написание заметок
** [[Пишите о том, что вы читаете]]
[[Написание вечнозелёных заметок помогает накапливать усилия по чтению]]
[[Сбор материала для заметок без его переработки - не эффективен]]
[[Думайте самостоятельно]]
[[Понимание требует активного вовлечения]]
[[Письменная практика усиливает понимание]]
[[Как собирать наблюдения во время чтения]]
[[Литературные заметки бывают второстепенными и несвязанными]]
[[Как превратить аннотации чтения в вечнозеленые заметки]]
* [Карманная блокнот для заметок для записи в почтовый ящик, пока он выходит](https://notes.andymatuschak.org/z5FKgZAnMhS73t9kenbVUYx23CHSQAE1gKxVf)
[[Почтовый ящик для временных и неполных заметок]]
[[Почтовый ящик для чтения для сбора потенциально полезных ссылок]]
[[Папки "Входящие" не следует разделять на несколько мест]](https://notes.andymatuschak.org/z7bj6MiUnFnP3GvM5QqHafy3LTaqQV56e1Mek)
[[Остерегайтесь автоматического импорта в ящик входящих для чтения]]
[[Используйте телефоны для сбора и сортировки, а не (обычно) для чтения]]
* Мышление и написание заметок
[[Написание вечнозеленых заметок помогает накапливать понимание]]
[[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]]
[[Скачки в понимании возникают из предыдущих мыслей]]
[[Мозговой штурм часто может заменить недостающие системы накопления insights]]
[[Вечнозеленые заметки - безопасное место для развития безумных идей]]
[[Вечнозеленые заметки могут увеличить разговорную пропускную способность]](https://notes.andymatuschak.org/z848gfJnsUNa5JjziTzXirNEJsEzRejTeYefX)
* [Разговоры, включающие вечнозеленые заметки нескольких участников дискуссии, могут способствовать формированию смысла в сотрудничестве](https://notes.andymatuschak.org/z8NiytpoGGuh8okwPaca2qnScvc5xCqnS6JBN)
* Написание и написание заметок
* [Исполняемая стратегия написания](https://notes.andymatuschak.org/z3PBVkZ2SvsAgFXkjHsycBeyS6Cw1QXf7kcD8)
* [Создавайте спекулятивные контуры во время написания](https://notes.andymatuschak.org/z2uXyfV67dnWLUKg1iDbsrHk3DGjtNWTxSTah)
* [Вечнозеленые заметки снижают эмоциональные ставки на редактирование рукописей](https://notes.andymatuschak.org/z26G5QDZgkk3mLTJoWHfzM6kjRzHpTAWHeZWN)
* [Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)](https://notes.andymatuschak.org/z6C5H4eYH2A4omfNLuUcDiKibQ1hZG2RGNZ97)
* Структура заметок
* [Вечнозеленые ноты](https://notes.andymatuschak.org/z4SDCZQeRo4xFEQ8H4qrSqd68ucpgE6LU155C)
* [Большинство людей делают только переходные заметки](https://notes.andymatuschak.org/z2ZAGQBHuJ2u9WrtAQHAEHcCZTtqpsGkAsrD1)
* [Обслуживание вечнозеленых заметок приближает интервальное повторение](https://notes.andymatuschak.org/z6yfTwYekzvBkVjeH7WBUrSAJhyGTMYDAyYW7)
* [Вечнозеленые заметки должны быть концептуальными](https://notes.andymatuschak.org/z6bci25mVUBNFdVWSrQNKr6u7AZ1jFzfTVbMF)
* [Вечнозеленые ноты должны быть атомарными](https://notes.andymatuschak.org/z4Rrmh17vMBbauEGnFPTZSK3UmdsGExLRfZz1)
* [Заголовки вечнозеленых заметок похожи на API](https://notes.andymatuschak.org/z3XP5GRmd9z1D2qCE7pxUvbeSVeQuMiqz9x1C)
* [Предпочитаю названия позитивных нот для продвижения систематической теории](https://notes.andymatuschak.org/z8T6sLNco2benUMgcXUXeJh35eW2obP48DoPp)
* [Предпочитаю заголовки заметок с полными фразами для отточки претензий](https://notes.andymatuschak.org/z3KmNj3oKKSTJfqdfSEBzTQiCVGoC4GfK3rYW)
* [Вечнозеленые ноты должны быть плотно связаны](https://notes.andymatuschak.org/z2HUE4ABbQjUNjrNemvkTCsLa1LPDRuwh1tXC)
* [Заметки должны вас удивить](https://notes.andymatuschak.org/z4KZ9973AoHhvM9Pj5Qrds48JXNbMEwVJmVRw)
* ассоциативная структура в ПКМ
* [Предпочитаю ассоциативные онтологии иерархическим таксономиям](https://notes.andymatuschak.org/z29hLZHiVt7W2uss2uMpSZquAX5T6vaeSF6Cy)
* [Теги являются неэффективной структурой ассоциации](https://notes.andymatuschak.org/z3MzhvmesiD2htMaEFQJif7gJgyaHAQvKH49Z)
* [Индексированные ссылки против тегов](https://notes.andymatuschak.org/z6ztEgzqZichYTJgabhYQLn4UY4FbC1JMH394)
* последствия
* Связь с системой ссылок
* [Создание гиперссылок на мой архив ссылок](https://notes.andymatuschak.org/z7xyZLXF3my9t5sPb7Kzdsg4pauz5mtbZqHWa)
* [Преимущества и недостатки использования заметок для формирования ассоциаций в содержании](https://notes.andymatuschak.org/z2D6w86eKLuVdmk5icMJ5L6av1nG62HaF7ref)
* инструменты
* [Цифровые системы написания заметок фиксируют презентацию и манипулирование отдельными заметками, в основном игнорируя межнотное смысловое оформление](https://notes.andymatuschak.org/z6Pb6rwTDSg7K7LqF2EbtqbnKvpMbiXYkToDi)
* значение открытого текста
* идентификаторы открытого текста для связи материалов
* будучи человеческим коннектором в системе, в которой нет приложения
* история / сообщество
* [Зеттелькастен](https://notes.andymatuschak.org/z2QvtE9w5zs49x7WUeG8Ut1vywHDLiG2Wkm9p)
* Луманн
* Кристиан и Саша
* [Как делать умные заметки - Ahrens](https://notes.andymatuschak.org/z6o5eS2DnpMwe2HnHyhgQAmmGkRCtkKina73u)
Система интервального повторения сочетает в себе [[Эффект тестирования]] и [[Эффект интервала]], чтобы обеспечить эффективное запоминание многих тысяч фактов ([[Системы интервального повторения чрезвычайно эффективны]]). Некоторые люди также используют их для более широкого набора задач (см. ниже). [[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но они предназначены не только только для заучивания фактов: [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]].
Первой потребительской системой такого рода был [[Supermemo]], созданный Piotr Wozniak. Он заимствовал и популяризировал термин «интервальное повторение»; в предшествующей литературе использовалось множество терминов (часто относящихся к более конкретным аспектам лежащего в основе явления).
* Связанные системы и возможности:
** Реализации:
*** Традиционные:
**** [[Supermemo]]
**** [[Mnemosyne]]
**** [[Anki]]
*** Необычные вариации:
**** [[Мнемоническая среда]]
**** [[Execute Program]]
**** [[Readwise]]
**** [[Chessable MoveTrainer]]
** [[Необычные приложения систем памяти с интервалом повторения]]
** [[Системы интервального повторения могут использоваться для программирования внимания]]
*** [[Системы интервального повторения как катехизис]]
** [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]
* О свойствах систем памяти:
* [[Какова максимальная скорость использования эффективной системы памяти с интервальными повторениями?]]
* [[Оптимизация расписания системы интервальных повторений]]
* [[Самооценка по сравнению с машинной оценкой в системах интервального повторения]]
* [[В какой степени практика системы интервальной памяти с повторением представляет собой осознанную практику?]]
* Барьеры на пути заимствования (to adoption)
* [[Многие люди считают, что память не важна для глубокой творческой работы]]
* [[Трудно написать хорошие подсказки для интервального повторения]]
* [[Каковы наиболее важные атрибуты хороших подсказок для интервального повторения?]]
* [[Изучение подсказок для интервального повторения, созданных другим человеком, обычно - неэффективно]]
* [[Ограничивающим фактором в пропускной способности системы с интервалом повторения является написание достаточного количества хороших подсказок]]
* [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]
* [[Регулярная практика запоминания с интервальными повторениями - обременительная привычка]]
* [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]
* [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]]
* [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]]
* [[Доминирующая культура систем памяти с интервальным повторением зациклена на бессмысленных целях]]
* Ответы на общие возражения
* SRS актуальны только для заучивания фактов: «школьное обучение»
* [[Люди недооценивают важность памяти из-за плохого опыта заучивания наизусть в школе]]
* Существующие SRS используются почти исключительно для простых декларативных знаний, в отличие от [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]].
* [[Системы памяти с интервальным повторением помогают сосредоточиться на более глубоком взаимодействии, автоматизируя механическое запоминание]]
* [[Системы памяти с интервальным повторением могут ускорить неприятные ранние этапы изучения предмета]]
* (предостережение: сложно писать подсказки для концептуального понимания!), возможно, здесь поможет GTR-3 или симультанное мышление
* SRS предназначены только для материала, о котором вы не заботитесь в достаточной степени, чтобы запомнить его «естественно». Лучше «учиться на практике».
* Достаточно внешней памяти
* Мнемонические техники устраняют SRS
* Знания, полученные через SRS, не передаются
* Настоящая ценность SRS заключается в создании собственных подсказок.
* Может быть! [[Насколько важно писать собственные подсказки с интервалом повторения?]]
---
!!!References
Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from https://www.gwern.net/Spaced-repetition
[[Who invented the name: spaced repetition? - supermemo.guru|https://supermemo.guru/wiki/Who_invented_the_name:_spaced_repetition%3F]]
!!!Backlinks
* [[Мнемоническая среда]]
Мнемоническая среда встраивает [[§Система памяти с интервальным повторением]] в повествовательную прозу. [[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но они столкнулись с серьезными препятствиями на пути к внедрению. Мнемоническая среда предназначена для решения многих из этих проблем.
* [[Системы интервального повторения могут использоваться для программирования внимания]]
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но ценность компьютеризированного компонента заключается, в частности, в динамическом планировании и выборе вопросов для рассмотрения. В некотором смысле эффективность [[§Система памяти с интервальным повторением]] зависит от ее способности программировать ваше внимание ([[Программируемое внимание]]). Подумайте: «{cron} для вашего ума».
* [[Знания должны срастаться]]
Это достигается с помощью [[§Система памяти с интервальным повторением]]: когда вы находите информацию полезной, вы можете приложить немного усилий, чтобы убедиться, что она у вас всегда под рукой. Со временем в библиотеке интервальных повторений накапливаются тысячи вопросов, и (я сильно подозреваю), что знание помогает впоследствии стать эффективным работником умственного труда.
* [[Execute Program]]
Execute Program предлагает интерактивные уроки по инструментам программирования от Gary Bernhardt. Уроки чередуются с прозой и живыми задачами программирования. Подобно [[Мнемоническая среда]], сайт интегрирует [[§Система памяти с интервальным повторением]] для повторения задач уроков с течением времени.
* [[Эффект интервала]]
Алгоритмы [[§Система памяти с интервальным повторением]] использовали это преимущество для реализации эффективных систем обучения.
*старая версия этого абзаца* Каждая последовательная арматура, кажется, сглаживает эту забывающую кривую, так что вы можете ждать все дольше и дольше между каждым обзором. Динамика этого эффекта сглаживания не очень хорошо характеризуется (для одной модели см. [[Двухкомпонентная модель памяти]]), но алгоритмы [[§Система памяти с интервальным повторением]] используют постоянные факторы с относительным успехом, что создает экспоненциально увеличивающийся ряд интервалов испытаний, например, 5 дней, 2 недели, 1 месяц, 2 месяца, 4 месяца и т. д.
* [[Трудно написать хорошие подсказки для интервального повторения]]
Люди считают карточки чем-то тривиальным из школьных дней, поэтому они не относятся к их написанию очень серьезно. Но очень сложно написать хорошие подсказки для [[§Система памяти с интервальным повторением]]. Например, хорошие подсказки.
* [[Системы интервального повторения чрезвычайно эффективны]]
Используя [[§Система памяти с интервальным повторением]], вы можете запоминать ответы на тысячи вопросов всего за несколько минут в день. Это неинтуитивное следствие экспоненциальной работы в [[Эффект интервала]]: [[Интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилия]].
* [[Детальное кодирование]]
Некоторые пользователи [[§Система памяти с интервальным повторением]] явно пишут подсказки, чтобы продвигать детальное кодирование. Эксперименты Karpicke и Smith (2012) показывают, что это может не сильное улучшение, по сравнению с одной только поисковой практикой. Связанный: [[Практика поиска оказывается более эффективной учебной деятельностью, чем сложное кодирование]].
* [[Системы памяти с интервалом повторения делают выбор в пользу памяти]]
Одним из замечательных последствий использования [[§Система памяти с интервальным повторением]] является то, что они **делают выбор в пользу памяти**. После того, как вы освоили практику памяти, если вы хотите что-то запомнить, вы можете просто заставить это произойти: просто выделите несколько минут, чтобы написать вопрос об этом. В течение следующих нескольких недель вы надолго закодируете это в долговременную память, и это займет у вас всего несколько минут в совокупности: [[Системы интервального повторения чрезвычайно эффективны]].
* [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]
[[§Система памяти с интервальным повторением]], такая как Anki, в первую очередь предназначена для того, чтобы помочь людям запомнить много декларативных знаний, таких как словарный запас. Но те же механизмы можно использовать для создания относительно необычных (unorthodox) карт, которые побуждают к применению, синтезу и созданию.
* [[Программируемое внимание]]
Сеансы обзора [[§Система памяти с интервальным повторением]] не просто помогают вам запоминать вещи: они координируют ваше повторяющееся внимание с течением времени на сотнях крошечных задач, которых слишком много, чтобы управлять ими вручную. Подобные системы представляют собой форму программируемого внимания. Вы все время используете более простые формы программируемого внимания: почтовые ящики с функциями повтора и будильника; боты, которые напоминают вам о вещах; [[Twitter - это своего рода программируемое внимание]]. Каковы основные свойства таких систем? Каков их потенциальный охват?
* [[Сходства и различия между вечнозеленым написанием заметок и Zettelkasten]]
Я встроил [[§Система памяти с интервальным повторением]][[Мнемоническая среда может быть расширена до личных заметок]] в свои заметки. Это существенно изменило среду, но пока я еще не очень хорошо ее понимаю.
* [[Каковы наиболее важные атрибуты хороших подсказок для интервального повторения?]]
Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?
В этой заметке собраны идеи о том, как закодировать знания в подсказках [[§Система памяти с интервальным повторением]], как для поддержки запоминания фактов, так и для содействия более глубокому пониманию ([[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]
* [[Уроки Execute Program не разблокируются, пока вы не проверите их предварительные требования]].
Студенты [[Execute Program]] не могут сразу получить доступ ко всем урокам курса. Большинство уроков курса начинаются «заблокированными». Эти уроки зависят от других уроков в курсе: единственными первоначально разблокированными уроками являются {те, у которых нет зависимостей в курсе}. Уроки разблокируются только один раз {все их зависимости не только были прочитаны, но и недавно проверены (с помощью встроенных механизмов системы памяти с интервалом повторения)}.
[[Supermemo]]
Оригинальная цифровая [[§Система памяти с интервальным повторением]], созданная Петром Возняком. Включает поддержку различных связанных систем управления личной информацией, таких как [[Поэтапное чтение]].
* [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]
Наиболее очевидный способ использования [[§Система памяти с интервальным повторением]] - это запоминание простых фактов: имен, определений, числовых констант и т.д. Подавляющее большинство пользователей систем памяти, кажется, когда-либо используют их только для этой цели. Но интервальное повторение полезно не только для запоминания простых фактов. Тот же механизм можно использовать для глубокого понимания сложного материала, особенно если вы пишете наши собственные подсказки ([[Насколько важно писать собственные подсказки с интервалом повторения?]]). Такие концептуально ориентированные подсказки могут проверить вас на связи, значениях, причинах и последствиях. Эти более широкие идеи не кажутся наивными фактами, которые можно запомнить, но часто это так. Помимо выгоды от запоминания этих концептуальных идей, установление отношений на более высоком уровне таким образом с течением времени может поддерживать вас в контакте с темой и помогает вам глубже усвоить ее. (связано: [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]])
* [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]].
Вы можете запоминать отрывки из этого с помощью [[§Система памяти с интервальным повторением]], но вы также можете использовать ту же систему, чтобы «закрепить» эту привычку в своем уме. Вот несколько примеров вопросов, которые вы можете попробовать:
* [[Система интервального повторения на уровне ОС]]
Что, если бы существовала [[§Система памяти с интервальным повторением]] «уровня ОС»? Что, если бы вместо того, чтобы жить «внутри обувной коробки приложения», как в Anki и других существующих инструментах, подсказки были бы больше похожи на файлы в папках - с возможностью чтения и записи во всей системе?
* [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]
Многие исследователи пытаются создать более эффективную [[§Система памяти с интервальным повторением]], но я считаю, что критически важно оптимизировать эмоциональную связь с сеансом обзора и его содержанием - и, наоборот, безжалостно минимизировать элементы, вызывающие усталый вздох. Эти системы, оставленные на произвол судьбы, естественным образом распадаются, чтобы производить послушные сеансы, которые кажутся отключенными от всего, что имеет для вас значение.
* [[Мнемоническая среда может быть расширена до личных заметок]]
Используя [[§Система памяти с интервальным повторением]], вы заполните ее заметками о том, что вы изучаете, наблюдаете и думаете. К сожалению, [[Существующие системы интервального повторения препятствуют использованию вечнозеленых заметок]]. Система памяти поможет вам запоминать и постоянно заниматься тем, что вы пишете, но со временем она не сильно поможет вам развить эти идеи. Система [[Вечнозеленые заметки]] поможет вам развивать свои идеи с течением времени, но не поможет вам сохранять и постоянно взаимодействовать с этими заметками ([[Ведение вечнозеленой заметки - это интервальное повторение]]). Итак, вы застряли, либо беспорядочно дублируя свои усилия в двух отдельных системах, либо отказываетесь от преимуществ одной системы.
* [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]]
Ежедневная практика с [[§Система памяти с интервальным повторением]] должна быть жизненно важной и актуальной. Когда вы не добавляете много новых запросов в течение некоторого времени, ежедневные сеансы проверки начинают казаться застрявшими в прошлом, оторванными от того, о чем вы думаете прямо сейчас. Похоже, что это обычная проблема для новых пользователей, которые добавляют сразу много новых запросов в порыве первоначального энтузиазма, а затем им скучно, когда они все еще просматривают те же самые запросы (и никакие другие) спустя несколько месяцев.
* [[Readwise]]
Они постепенно вводят некоторые особенности [[§Система памяти с интервальным повторением]]. В ходе чтения ваших ежедневных обзоров вы можете плавно «обновить» самые интересные, превратив их в закрытые удаления или даже настраиваемые подсказки для вопросов и ответов. Это умная стратегия для привлечения новичков к интервальному повторению: продукт приносит (небольшую) ценность, если вы полностью пассивны, но по мере того, как пользователи вкладываются, они могут со временем прилагать дополнительные усилия и получать от продукта больше.
* [[Изучение подсказок для интервального повторения, созданных другим человеком, обычно - неэффективно]]
Как только кто-то поймет, что [[Системы памяти с интервалом повторения делают выбор в пользу памяти]] и что [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]], возникает ужасный соблазн поглощать новые знания, загружая чужие колоды подсказок системы памяти с интервальным повторением. Но если предположить, что вы никогда не изучали ее раньше, вам гораздо лучше прочитать главу из учебника по клеточной биологии, чем запоминать чужую колоду.
* [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]]
Одна из проблем при внедрении и повседневном использовании [[§Система памяти с интервальным повторением]] заключается в том, что вы будете тратить почти все свое время на обзор материала, который вам трудно запомнить. Легко запоминающийся материал будет быстро увеличиваться до интервалов в несколько месяцев, поэтому вы потратите на это немного времени по сравнению с подсказкой, которая застревает с интервалами длиной в несколько дней или недель. Ваш ожидаемый уровень точности для всей вашей коллекции может составлять 95 +%, но ваш уровень точности в данном сеансе, вероятно, будет намного ниже.
* [[Системы интервального повторения как катехизис]]
Точно так же обзорные сессии [[§Система памяти с интервальным повторением]] помогают читателям запомнить материал книги, но они также побуждают читателей повторно взаимодействовать с материалом, который они прочитали, с течением времени. Это практически полезно, потому что многие читатели увидят новые связи после того, как посидят с контентом в течение нескольких недель. Но, возможно, это также способствует изменению личности: вы не просто человек, однажды прочитавший это эссе, вы изучаете эту тему в более длительном смысле.
* [[Двухкомпонентная модель памяти]]
При практическом использовании в качестве части системы памяти с интервальным повторением, как правило, должен быть введен третий параметр для сложности элемента, поскольку элементы SRS обычно не являются атомарными с точки зрения нашего мозга.
* [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]
[[§Система памяти с интервальным повторением]] чрезвычайно эффективны, но кривые начинаются неглубоко. Таким образом, новый пользовательский опыт работы с системой памяти с интервальными повторениями требует предварительных усилий с точки зрения усилий… и отложенных с точки зрения впечатляющих результатов. Сначала это кажется не лучше, чем банальная система карточек, которую они могли бы использовать в школе. И долгосрочная выгода очень неочевидна: интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилий, но почти ничто другое не дает, а у людей плохая интуиция для экспонент.
* [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]
Одна из проблем эффективности [[§Система памяти с интервальным повторением]] заключается в том, что иногда пользователи запоминают ответы на вопросы мелко, посредством «соответствия шаблонов», а не более глубокой интеграции знаний или фактического мышления над вопросом. Но [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]].
* [[Системы памяти с интервальным повторением могут ускорить неприятные ранние этапы изучения предмета]]
Когда вы впервые взаимодействуете с новым предметом, вам вообще трудно предпринять какие-либо значимые шаги: по крайней мере, какое-то время вы часто не можете удерживать в голове достаточно новых терминов и идей одновременно достаточно долго, чтобы сделать что-нибудь значимое. . В этом контексте [[§Система памяти с интервальным повторением]] может помочь, ускоряя вас через этот неловкий, неприятный этап до точки, когда вы действительно можете получить значимый опыт работы с материалом (связанно: [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).
* [[Системы памяти с интервальным повторением помогают сосредоточиться на более глубоком взаимодействии, автоматизируя механическое запоминание]]
[[Глубокое понимание требует (и является результатом) интенсивной личной связи]]. Таким образом, один из способов увидеть роль [[§Система памяти с интервальным повторением]] состоит в том, что она эффективно автоматизирует важные, но механические элементы обучения, чтобы вы могли сосредоточиться на более интересных, значимых или концептуальных элементах.
* [[Важность улучшения способствует развитию навыков]]
Я подозреваю, что это одна из ключевых причин, почему [[Люди обычно развивают навыки до плато, а затем останавливаются]], и, в частности, почему [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]]. Если вы никогда не слышали о [[§Система памяти с интервальным повторением]], вероятно, не очевидно, что память можно сделать решенной проблемой. Если вы никогда не слышали о [[Вечнозеленые заметки]], вероятно, не очевидно, что у [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].
* [[Мнемоническая среда предоставляет подсказки, созданные экспертами]]
** [[Трудно написать хорошие подсказки для интервального повторения]], но [[Мнемоническая среда]] устраняет этот барьер для принятия [[§Система памяти с интервальным повторением]], предоставляя авторские подсказки, которые позволяют читателям сохранять материал, не написав свой собственный.
* [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]]
Flash-карты, как и карточки [[§Система памяти с интервальным повторением]], пользуются заслуженно плохой репутацией отчасти потому, что напоминают людям о механическом обучении в школе. Люди помнят, что их заставляли запоминать отдельные факты, такие как названия различных категорий облаков, и они помнят, как повторяли эти ответы, не добившись какого-либо прочного понимания. Отчасти проблема заключается в том, что [[Цели обучения часто подрывают себя]]: вы, вероятно, действительно не заботились об изучении этого материала. Но помимо этой проблемы, эти изолированные упражнения особенно хрупкие, потому что они развивают знания, которые могут быть использованы только в одном контексте, без связи с более широкими концептуальными рамками и пониманиями: [[Богатое понимание - это связь]].
* [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]]
Если вы только что узнали новый способ приготовления гороха, вы можете написать подсказку для системы памяти с интервалом повторения, например:
«Q. Как приготовить горох су-вид?»
«А. 18 минут при 70°C».
Но я считаю, что такие вопросы обычно вызывают затруднения - я часто забываю ответ. Кажется, что вопросы, основанные на нескольких независимых идеях, не позволяют решить эту проблему.
*Старый вариант* При написании подсказок для [[§Система памяти с интервальным повторением]] легко случайно написать вопрос, который имеет правильные ответы, помимо того, который вы планируете. Вы должны включить достаточно контекста, чтобы разумные альтернативные ответы были явно неправильными ( [[Подсказки с интервалом повторения в памяти должны быть краткими]] и ( [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]].
* [[Регулярная практика запоминания с интервальными повторениями - обременительная привычка]]
Таким образом, успешная [[§Система памяти с интервальным повторением]] должна немедленно принести значительную личную ценность, чтобы преодолеть этот барьер для принятия. Большинство систем этого не делают: это пустое поле, предназначенное для заполнения пользователем. Но [[Трудно написать хорошие подсказки для интервального повторения]], поэтому большинство пользователей начальные сеансы проверки будут включать небольшое количество посредственных подсказок. И [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]. Итак, люди уходят (So people churn).
* [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]]
Если вы только что узнали новый способ приготовления гороха, вы можете написать подсказку для [[§Система памяти с интервальным повторением]], например: «Q. Как приготовить горох су-вид?» «А. 18м при 70°C». Но я нахожу, что подобные вопросы обычно являются борьбой - я часто забываю ответ. Вопросы, которые опираются на несколько независимых идей, похоже, спотыкаются об этой проблемой.
* [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]]
** При использовании [[§Система интервального повторения]] для изучения фактов наивный подход приводит к изучению множества фактов в изоляции: название белка, дата события, размер физической константы. Но поскольку [[Богатое понимание - это связь]], лучше связать эти факты с другими идеями. Это поможет вам запомнить более надежно (за счет [[Детальное кодирование]]), но и развить более богатое понимание, которое выходит за рамки простых фактов.
* [[Самооценка по сравнению с машинной оценкой в системах интервального повторения]]
** В [[§Система интервального повторения]] ключевой вход в систему управления: правильно ли запомнил ли пользователь приглашение? Некоторые системы имеют самопрофилиал: пользователь указывает, запомнил он или нет. Другие просят пользователя ввести ответ; затем система рассчитывает, был ли пользователь правильным.
* [[Mochi]](https://notes.andymatuschak.org/zxAXSEQidXeYW2XFBj9ftGxz1kTNtV4fXjhZ)
* [[Mochi|https://mochi.cards/]] - это веб- [[§Система записи заметок]], ориентированная на Markdown, со встроенной [[§Система интервального повторения]]
* [Mnemosyne](https://notes.andymatuschak.org/z7sh4NRXqTaBmXtj3ioDn5fKwEn7qvtjGJhkC)
* Популярная [[§Система интервального повторения]] открытым исходным кодом. Основным разработчиком является {Питер Бьенстман}, бельгийский ученый.
** [Execute Program не имеет неисполняемых запросов](https://notes.andymatuschak.org/z3ofZDwWc1m9fs6YMRSBYshXBYBxVnLzWycJy)
** В этом уроке также не может быть такое типичное приглашение [[§Система интервального повторения]]:
* [Лаборатории Саны](https://notes.andymatuschak.org/z4xUYCRTU7uUjZhafKD3jAcn5u5mHsDJwPMcc)
** Я полагаю, что будет какой-то компонент [[§Система интервального повторения]], учитывая большой круг удержания.
* [Как могут вмешаться системы памяти с интервалом повторения, когда студент борется с материалом?](https://notes.andymatuschak.org/z432Vjppz3bY9z3NWhrY9f6Co2Jp5DFBGeLGo)
** Типичная [система памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) делает две вещи: сокращает интервал до следующей презентации и просит студента повторить приглашение в том же сеансе.
** [Выполнить подсказки программы действуют как подсказки приложения, так и как приглашения на отзыв](https://notes.andymatuschak.org/z28P3kw9MjfiPYe7RGhvRnjHNCiLjJi8YA2U2)
* Основной тип подсказки [Mnemonic medium ](https://notes.andymatuschak.org/z4rRX3qwSSJRsEkdXKwH2shamgHNeRthrMLiF) - это атомарное приглашение на отзыв в типичном стиле [системы памяти интервального повторения](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) : высокоатомическое, строгое тестирование памяти. Напротив, основной тип приглашения [программы Execute ](https://notes.andymatuschak.org/z2LGZ8cXBcQMP7YuAHbeVyCSLZoiMXvQNKCok) - или, по крайней мере, выглядит - приглашение приложения (см. [Мнемонический носитель может помочь читателям применить то, что они узнали с помощью простых запросов приложений](https://notes.andymatuschak.org/z6Y8xDS2AJyE1d34X99y14Sk1A7YCNas5kFjA) ).
* [Простые подсказки приложения могут быть представлены так же, как и подсказки отзыва в мнемонической среде](https://notes.andymatuschak.org/z7G53bg3it1M673EPpYfNfufbzyRqqKBkt3oZ)
* Поскольку опыт этих типов вопросов имеет так много перекрытия, решения проблем проектирования подсказок памяти должны в основном применяться к конструктивным задачам простых подсказок приложений. Это говорит о том, что простые подсказки приложения могут быть представлены с небольшой адаптацией в существующей среде обзора [системы памяти повторений ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) с [интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) .
* [Механика интервального повторения создает ощущение легкости](https://notes.andymatuschak.org/zCcbyCRksiHRGzg5Z59iJmqZ2Bnv8FcTdfi)
* Основная механика [системы памяти ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) с [интервалом повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) удаляет принятие решений и гампацию с критического пути. Скажите, что вы хотели бы изучить молекулярный путь клеточного метаболизма. Без SRS вам нужно было бы составить план типа «Я изучаю клеточную биологию по вечерам во вторник», помнить об этом плане и вызывить волю к неоднократному выполнению плана. Но если у вас есть активная практика SRS, вы можете бросить несколько подсказок в свою библиотеку и быть уверены, что со временем увидите их снова.
* [Избегайте запросов памяти повторения с интервалом из сирот](https://notes.andymatuschak.org/z8QtbrR4cxDshTYBq3RCfwUVkXS8mSjRmAnqk)
* При добавлении подсказок в [систему памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) обычно неправильно писать подсказки о детали, которая кажется интересной, но которая отключена от всего остального, о чем вы думаете. [ Запросы памяти повторения с интервалом должны соединяться и связываться с идеями](https://notes.andymatuschak.org/z49EwwPL1CzKHTyLHXwJJH7hsciCg772Vm5WJ) , и еще лучше заставлять их соединяться и соотноситься с идеями, о которых вы регулярно думаете.
* [Анки](https://notes.andymatuschak.org/z4zzRb7NCkV71THoNKMzWkw6QRWKr1QCtiAf1)
* Популярная [система памяти повторений с ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) открытым исходным кодом.
* [Chessable MoveTrainer](https://notes.andymatuschak.org/z8MgFD7B7QRqqGZXsJqeGpm5PJhroPwb6BW2V)
* Система [памяти повторения с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , разработанная специально для изучения шахматных ходов. Он интегрирован с учебным материалом, чередующимися прозами + визуальными объяснениями с викторинами, сродни тому, как [уроки программы Execute разворачивают свою прозу в ответ на взаимодействие читателей](https://notes.andymatuschak.org/z6rN4nbPWxhYMkzt4rixDUoLD2hi2cvtJi2Ay) .
* [В какой степени практика системы памяти интервального повторения представляет собой преднамеренную практику?](https://notes.andymatuschak.org/z2DFcZfqWxS8wd6ccX7WB7TvT6gVQtqS6GCCp)
* Явились ли сеансы обзора [системы памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) [преднамеренной практикой после Эрикссона](https://notes.andymatuschak.org/z2duRd5eisRomSgxr88Semkgs15pgMRVVR5C) ?
* [Обучение Хикори](https://notes.andymatuschak.org/z6KUuSL9EoVeQgnYmfmLiVBeaxrqqcn8qMsmG)
* Неустраненный стартап, который пытался продать [систему памяти ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) для [повторений с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) в качестве услуги компаниям в учебных целях. Генеральным директором был { [Брайан Тобал](https://notes.andymatuschak.org/z6YhUjKr3xGchwqy8tPSApHLcTCH5zEqHctUw) }.
* [Заявление о видении](https://notes.andymatuschak.org/z4mSveXDkJDdx1FPb3o2ZYRjho9ihkA2vDT)
* Мое текущее исследование исследует *системы памяти*- среды, которые основываются на мощных идеях когнитивной психологии, чтобы сделать *скучное запоминание чего-то*примитивным действием. Предыдущие работы над системами памяти (например, [ Система памяти с интервалом повторений](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) ) была сосредоточена в основном на явном запоминании простых фактов, таких как столицы стран и ключевые даты. Но примитивы, ориентированные на память, могут дополнить более сложные и значимые задачи. Меня интересует, как они могут с пользой надушить и усилить повседневную деятельность - чтение, письмо, разговор, искусство. Например, я считаю, что мы можем создать системы памяти, которые значительно облегчают изучение абстрактных, концептуальных знаний ( [системы памяти интервалов могут быть использованы для развития концептуального понимания](https://notes.andymatuschak.org/z6UZP7P4sRNgRKSvNj7tMV5uW6dDhwwbdZCy9) ). И я считаю, что эти системы могут ускорить творческую работу, помогая людям усвоить ключевые идеи и влияния.
* [Дуолинго](https://notes.andymatuschak.org/z4Pi11ZtBxEZDwVwzETHP5TtxtzFWZdCVKWMB)
* Duolingo - это приложение для изучения языков с компонентами [системы памяти интервального повторения](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) .
* [Запросы памяти повторения с интервалом должны гарантировать, что рецензенты должны получать ответы из памяти.](https://notes.andymatuschak.org/z7XLLk9aqBtJLDtP9kemBA87bDtjhpxst1osT)
* [Система памяти с интервалом повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) зависит от [эффекта тестирования](https://notes.andymatuschak.org/z45mhbpabsigFceeSiRyDXZdvcRqvE2A1xMsn) : вы запомните что-то дольше, если вам придется действительно извлечь его из памяти, чем если вы просто повторно экспонируете на нее. Поэтому при написании подсказок убедитесь, что приглашение требует от читателя фактически получить память, которую вы хотите усилить.
* [Дизайн приглашения на повторение с интервалом - это проектирование задач для вашего будущего себя.](https://notes.andymatuschak.org/z4TCpuykanZCZYtC5xCccfuiTMZQzdeRv5BuW)
* [Написать подсказки памяти повторения с хорошим интервалом трудно](https://notes.andymatuschak.org/z3ntJ7w9C3uapYp1m3gy2EK6PN788guzEoUNN) , но вот одна полезная ментальная модель. Когда вы делаете запрос на [систему памяти повторений ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) aSpaced, вы *даете* *себе повторяющуюся задачу*. Проектирование подсказок - это проектирование задач.
* [Существующие системы повторения с интервалом препятствуют вечнозеленым нотам](https://notes.andymatuschak.org/zZuqUv3XNEFsimMmHszLF87Pr5vTraLjL5Y)
* Хотя ноты в [системе памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) атомарны так же, как и [вечнозеленые ноты ](https://notes.andymatuschak.org/z4SDCZQeRo4xFEQ8H4qrSqd68ucpgE6LU155C) ( [вечнозеленые ноты должны быть атомарными](https://notes.andymatuschak.org/z4Rrmh17vMBbauEGnFPTZSK3UmdsGExLRfZz1) ), они во многих отношениях *слишком*атомизированы ( [традиционные интервалированные подсказки памяти повторения атомизируются](https://notes.andymatuschak.org/z4w269svvGhA2H5XFr6geaBbPTrxtJRpjt5TE) ). Форма препятствует инкрементному синтезу и перегонке.
* [Избегайте запросов памяти повторений с интервалом да-нет](https://notes.andymatuschak.org/z6MSMik8PUA2XrBQd1mtHrggFX5TBomVNcoRe)
* Да/нет Запросы [системы памяти с интервалом повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) являются привлекательным неудобством. Многие простые утверждения, которые вы могли бы прочитать, в основном говорят: «X — это правда». По-видимому, простой способ превратить это в вопрос - задать «Истинен ли X?» Но эти вопросы не очень полезны: [Запросы памяти повторения с интервалом должны гарантировать, что рецензенты должны получить ответы из памяти.](https://notes.andymatuschak.org/z7XLLk9aqBtJLDtP9kemBA87bDtjhpxst1osT)
* [Пропущенные ответы в обзорах программы Execute не наказывают студента, если он не «сдается»](https://notes.andymatuschak.org/z4tavSGuFp6SDx5mrqeiseHEB7Q4G7H4KAdTV)
* Запросы [системы памяти повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) [Execute Program ](https://notes.andymatuschak.org/z2LGZ8cXBcQMP7YuAHbeVyCSLZoiMXvQNKCok) имеют машинную оценку, поэтому, если читатели делают семантически неважные опечатки в своих ответах, система помечает приглашение неправильно. Эти ложные негативы могут быть довольно раздражающими, особенно с учетом того [, что уроки программы Execute не будут разблокированы до тех пор, пока вы не проанализируете их предварительные условия](https://notes.andymatuschak.org/z43GdwxNzaXGvNs7Hdd57UD9KauMxRGbH45r8) . В курсе SQL коэффициент ложноотрицательных данных достаточно высок, чтобы в начале 2020 года система была изменена таким образом, что неправильные ответы больше не «считаются» как несостоящие, если студент в конечном итоге даст правильный ответ. Читатели могут попробовать столько раз, сколько захотят, и интервал следующего обзора все равно увеличится в соответствии с кривой SRS. Последующие уроки раскрывают независимо от производительности пользователя.
* [RemNote](https://notes.andymatuschak.org/z6jecLFTkHG5MCFDvhwsd2p8YWykaHr6ZkHTi)
* [RemNote ](https://www.remnote.io/homepage) - это веб- [система записи заметок ](https://notes.andymatuschak.org/z8XrKGDz49o6XxEx7tzGewzrXQnw6jSgv3Yyf) со структурированной моделью знаний и первоклассными операциями для адаптации заметок в [систему памяти интервальных повторений](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , [мнемонический носитель может быть расширен до личных заметок](https://notes.andymatuschak.org/z5ARNXtS5VxteskEW91S1yYTgAcLABNXsZuJE) .
* [Как мы можем поместить инструменты для мышления в неразрывно значимых контекстах?](https://notes.andymatuschak.org/zKQs1fYnn4uzdws1KZc9pxkT3NUHastcMYq)
* Что, если бы «практика-сессии» для [системы памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) могут быть полностью высечены, вместо этого структурируя аутентичную среду так, чтобы «практика» естественным образом происходила с помощью ежедневных действий? например, [ Twitter - это своего рода программируемое внимание](https://notes.andymatuschak.org/z5UF8YjTjoYiADeLv2SeBPgKXKosK17cKfUpw) ; [обслуживание вечнозеленых заметок приближает интервальное повторение](https://notes.andymatuschak.org/z6yfTwYekzvBkVjeH7WBUrSAJhyGTMYDAyYW7) . Похожее: [Доминирующая культура вокруг распределенных систем памяти повторений закреплена на бессмысленных целях](https://notes.andymatuschak.org/z7i9vs1MyadFaSkGBSwLVsfsQ5UEdN5aS2v9J) .
* [Как эффективность мнемонического носителя варьируется в зависимости от тем в стиле знаний платформы?](https://notes.andymatuschak.org/z8U56PQX9kwhMi97wnQRCByvqXAM4azb9UP6h)
* Существует достаточно экспериментальных данных, которые [эффект интервала](https://notes.andymatuschak.org/z5oCe7JTrkYfmb6SHE4n5HxisE7PdwS6nmXEw) применяется ко многим темам, и есть отдельные данные о том, что [система памяти повторений ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) aSpacedможет эффективно кодировать материал по многим темам. Нам может понадобиться решение проблем для конкретного домена, чтобы установить, как кодировать знания каждой темы в подсказки.
* [Самооцененные системы памяти повторения с интервалом избегают ложных негативов](https://notes.andymatuschak.org/z7NmYGQd6wLQr3zQcDEPMizghkD9thEhhfg2E)
* В сеансе проверки [системы памяти с интервалом повторения](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , если я сделаю опечатку в своем SQL-выражении, потому что неправильно запомнил имя функции, это плохо, и мне, вероятно, следует пересмотреть задачу еще раз. Но если я сделаю опечатку, потому что мой палец поскользнулся, я все равно «прав», как брат, я обеспокоен. Ложные негативы чрезвычайно раздражают в машинно-градуированных системах. Они, конечно, также неэффективны, так как подсказка появится раньше. Но разъярение пользователя - это гораздо более серьезная проблема.
* [Дизайн мнемонической среды опирается на легкие подсказки](https://notes.andymatuschak.org/z7U6zXNGgTz1aEpRDUe6eMxotrhK4tmgprcxh)
* **Крошечные задачи:**Хорошие подсказки для отзыва в [системе памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) тестируют только одно, так что на них можно ответить довольно быстро. Медианное время оперативного рассмотрения [Quantum Country ](https://notes.andymatuschak.org/z2fBHADWa93EZTuNzuww7V3Vi587ZyZ4FHTHm) составляет 6 секунд (по состоянию на 2019/12 год).
* [Традиционные интервалированные запросы памяти повторения атомизируются](https://notes.andymatuschak.org/z4w269svvGhA2H5XFr6geaBbPTrxtJRpjt5TE)
* Подсказки в [системе памяти повторений с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) являются неупорядоченным, неструктурированным набором. Каждая подсказка намеренно довольно мелкозернистая и атомарная, так как это то, что, кажется, лучше всего подходит для эффективного запоминания. Но такое отсутствие структуры создает ощущение блужданий по лесу, способного видеть только один лист за раз.
* [Системы памяти повторений с интервалом с самоградуальной оценкой более эффективны, чем системы с машинной оценкой](https://notes.andymatuschak.org/z7MGZ4wX4fenUQzR9248QfWU8GFeZbTFGaJRM)
* [Взаимодействие является центром затрат в дизайне интерфейсов](https://notes.andymatuschak.org/z87TFgTr98bz3MNFT26NhegyRCMgdkfNTBAzp) , поэтому [система памяти повторений с ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) машинной классом накладывает большие затраты на их пользователей. Если пользователь должен ввести ответ, это может легко в 2-4 раза по времени, потраченного на каждую задачу.
* [Коммерчески успешные системы памяти повторения с интервалом имеют машинную оценку](https://notes.andymatuschak.org/z56zqwNCkjnih3LVJ4Ta5RsXHCaPeJPsM3UCt)
* Анки, Мнемозина и СуперМемо являются самооценками. [ Duolingo](https://notes.andymatuschak.org/z4Pi11ZtBxEZDwVwzETHP5TtxtzFWZdCVKWMB) , Memrise и [Quizlet ](https://notes.andymatuschak.org/z4erShe1C2qB39z4r8yDox1FuM2ZhRJxxTXbN) (по большей части) имеют машинную оценку. Продукты [системы памяти для повторений с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) с широким распространением и значительным коммерческим успехом имеют машинную оценку.
* [Машинно-градуированные системы памяти повторений с интервалом могут выполнять более продвинутое моделирование знаний](https://notes.andymatuschak.org/z4EpkhncuDT2R7NE6cUQg7fzTUf6E6scrVFEg)
* Если [Duolingo ](https://notes.andymatuschak.org/z4Pi11ZtBxEZDwVwzETHP5TtxtzFWZdCVKWMB) попросит меня перевести испанскую фразу на английский язык, и я неправильно переведу одно слово, он может заметить*, какое*слово я неправильно перевел, и соответствующим образом скорректировать расписание для связанных задач. Самооцененная [система памяти повторения с интервалом ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) может знать только, что весь ответ был неправильным. (Обратите внимание, что я не думаю, что Duolingo на самом деле делает это!)
* [Самоградуемые системы памяти повторения с интервалом вмещают более широкий спектр запросов](https://notes.andymatuschak.org/zmk4pjEEeKzqJ2keq4vbD59RdicsvMKWJK9m)
* «Импровизировать мелодию в пентатоническом миноре». Многие ценные подсказки [системы памяти повторения интервала](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) в разной степени принципиально не могут быть машиносортированы, особенно те, которые описаны в разделе [Системы памяти повторения интервала, могут быть использованы для запроса на применение, синтез и создание](https://notes.andymatuschak.org/zE8PK4UUAAWK6LEcmr8jja8JdxpUxcf1FUCX) . Самоклассные системы будут более легко удовлетворяться этим более экспериментальным вопросам.
* [25.08.2019](https://notes.andymatuschak.org/z4hnexPxxn6aTYpPJf7PX65f8gLaZ4cqxhhtR)
* 8:18: начало документирования барьеров для принятия в [системе памяти повторений Spaced](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , прикручивание скрипичными сюжетами
* [[Канг, С. Х. К., Макдермотт, К. Б., & Рёдигер, Х. Л. (2007). Формат тестирования и корректирующие отзывы изменяют влияние тестирования на долгосрочное удержание. Европейский журнал когнитивной психологии, 19(4–5), 528–558.
[https://doi.org/10.1080/09541440601056620](https://doi.org/10.1080/09541440601056620) ]]
* Я подведу итоги только второго эксперимента, так как он более актуален для дизайна [системы памяти для повторения интервалов](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , который я делаю. Студенты, которые практиковались с помощью короткого ответа, улучшили свой отзыв больше всего по отношению к условию контроля и состоянию, при котором студенты просто читают правильные ответы. Студенты, практикующие короткий ответ, показали лучшие результаты, чем те, кто практиковал с помощью нескольких вариантов после теста с несколькими вариантами ответов (d=0,41), но не значительно лучше, чем практикующие MC на тесте с коротким ответом после.
* [[Карпике, Дж. Д. и Смит, М. А. (2012). Отдельные мнемонические эффекты поисковой практики и развивающего кодирования. Журнал памяти и языка, 67(1), 17–29.
[https://doi.org/10.1016/j.jml.2012.02.004]](https://doi.org/10.1016/j.jml.2012.02.004) ]
* Производится ли [эффект тестирования ](https://notes.andymatuschak.org/z45mhbpabsigFceeSiRyDXZdvcRqvE2A1xMsn) с помощью [разработки кодирования](https://notes.andymatuschak.org/z3ZTBNhJddpewTBgbKAFy2cnSMBiJRpMZWsfB) ? Когда вы просматриваете подсказки в [системе памяти повторения с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , вы даете себе возможность сформировать новые связи на основе вашего текущего контекста и различных мыслей, которые у вас есть во время сеанса рецензирования.
* [Вопросы Джулии Эванс](https://notes.andymatuschak.org/z3EVpobr7qBkwbnRh1xRetrzz1ZWynEQpMjxx)
* Несмотря на то, что форм-фактор примерно является карточками, он не пытается быть [системой памяти повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) с [интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) . Это скорее необычная интерактивная статья. Я действительно считаю, что он очень сильно нарушает [взаимодействие, является центром затрат в дизайне интерфейсов](https://notes.andymatuschak.org/z87TFgTr98bz3MNFT26NhegyRCMgdkfNTBAzp) : Интересно, можно ли будет создать более плавное взаимодействие, возможно, частично вдохновленное быстрым взаимодействием в [программе Execute Program ](https://notes.andymatuschak.org/z2LGZ8cXBcQMP7YuAHbeVyCSLZoiMXvQNKCok) (см. [Уроки Execute Program разворачивают их прозу в ответ на взаимодействие с читателями](https://notes.andymatuschak.org/z6rN4nbPWxhYMkzt4rixDUoLD2hi2cvtJi2Ay) ).
{
"tiddlers": {
"$:/Acknowledgements": {
"title": "$:/Acknowledgements",
"text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
},
"$:/core/copyright.txt": {
"title": "$:/core/copyright.txt",
"type": "text/plain",
"text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2020, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
},
"$:/core/icon": {
"title": "$:/core/icon",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path d=\"M64 0l54.56 32v64L64 128 9.44 96V32L64 0zm21.127 95.408c-3.578-.103-5.15-.094-6.974-3.152l-1.42.042c-1.653-.075-.964-.04-2.067-.097-1.844-.07-1.548-1.86-1.873-2.8-.52-3.202.687-6.43.65-9.632-.014-1.14-1.593-5.17-2.157-6.61-1.768.34-3.546.406-5.34.497-4.134-.01-8.24-.527-12.317-1.183-.8 3.35-3.16 8.036-1.21 11.44 2.37 3.52 4.03 4.495 6.61 4.707 2.572.212 3.16 3.18 2.53 4.242-.55.73-1.52.864-2.346 1.04l-1.65.08c-1.296-.046-2.455-.404-3.61-.955-1.93-1.097-3.925-3.383-5.406-5.024.345.658.55 1.938.24 2.53-.878 1.27-4.665 1.26-6.4.47-1.97-.89-6.73-7.162-7.468-11.86 1.96-3.78 4.812-7.07 6.255-11.186-3.146-2.05-4.83-5.384-4.61-9.16l.08-.44c-3.097.59-1.49.37-4.82.628-10.608-.032-19.935-7.37-14.68-18.774.34-.673.664-1.287 1.243-.994.466.237.4 1.18.166 2.227-3.005 13.627 11.67 13.732 20.69 11.21.89-.25 2.67-1.936 3.905-2.495 2.016-.91 4.205-1.282 6.376-1.55 5.4-.63 11.893 2.276 15.19 2.37 3.3.096 7.99-.805 10.87-.615 2.09.098 4.143.483 6.16 1.03 1.306-6.49 1.4-11.27 4.492-12.38 1.814.293 3.213 2.818 4.25 4.167 2.112-.086 4.12.46 6.115 1.066 3.61-.522 6.642-2.593 9.833-4.203-3.234 2.69-3.673 7.075-3.303 11.127.138 2.103-.444 4.386-1.164 6.54-1.348 3.507-3.95 7.204-6.97 7.014-1.14-.036-1.805-.695-2.653-1.4-.164 1.427-.81 2.7-1.434 3.96-1.44 2.797-5.203 4.03-8.687 7.016-3.484 2.985 1.114 13.65 2.23 15.594 1.114 1.94 4.226 2.652 3.02 4.406-.37.58-.936.785-1.54 1.01l-.82.11zm-40.097-8.85l.553.14c.694-.27 2.09.15 2.83.353-1.363-1.31-3.417-3.24-4.897-4.46-.485-1.47-.278-2.96-.174-4.46l.02-.123c-.582 1.205-1.322 2.376-1.72 3.645-.465 1.71 2.07 3.557 3.052 4.615l.336.3z\" fill-rule=\"evenodd\"/></svg>"
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"title": "$:/core/images/add-comment",
"tags": "$:/tags/Image",
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"title": "$:/core/images/advanced-search-button",
"tags": "$:/tags/Image",
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"title": "$:/core/images/auto-height",
"tags": "$:/tags/Image",
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"title": "$:/core/images/blank",
"tags": "$:/tags/Image",
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"title": "$:/core/images/bold",
"tags": "$:/tags/Image",
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"title": "$:/core/images/cancel-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-cancel-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 76.314l-16.97 16.97a7.999 7.999 0 01-11.314 0c-3.118-3.118-3.124-8.19 0-11.313L52.686 65l-16.97-16.97a7.999 7.999 0 010-11.314c3.118-3.118 8.19-3.124 11.313 0L64 53.686l16.97-16.97a7.999 7.999 0 0111.314 0c3.118 3.118 3.124 8.19 0 11.313L75.314 65l16.97 16.97a7.999 7.999 0 010 11.314c-3.118 3.118-8.19 3.124-11.313 0L64 76.314zM64 129c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64C28.654 1 0 29.654 0 65c0 35.346 28.654 64 64 64zm0-16c26.51 0 48-21.49 48-48S90.51 17 64 17 16 38.49 16 65s21.49 48 48 48z\"/></svg>"
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"title": "$:/core/images/chevron-down",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-down tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M64.053 85.456a7.889 7.889 0 01-5.6-2.316L2.473 27.16a7.92 7.92 0 010-11.196c3.086-3.085 8.105-3.092 11.196 0L64.05 66.344l50.382-50.382a7.92 7.92 0 0111.195 0c3.085 3.086 3.092 8.105 0 11.196l-55.98 55.98a7.892 7.892 0 01-5.595 2.317z\"/><path d=\"M64.053 124.069a7.889 7.889 0 01-5.6-2.316l-55.98-55.98a7.92 7.92 0 010-11.196c3.086-3.085 8.105-3.092 11.196 0l50.382 50.382 50.382-50.382a7.92 7.92 0 0111.195 0c3.085 3.086 3.092 8.104 0 11.196l-55.98 55.98a7.892 7.892 0 01-5.595 2.316z\"/></g></svg>"
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"title": "$:/core/images/chevron-left",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-left tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M47.544 64.053c0-2.027.77-4.054 2.316-5.6l55.98-55.98a7.92 7.92 0 0111.196 0c3.085 3.086 3.092 8.105 0 11.196L66.656 64.05l50.382 50.382a7.92 7.92 0 010 11.195c-3.086 3.085-8.105 3.092-11.196 0l-55.98-55.98a7.892 7.892 0 01-2.317-5.595z\"/><path d=\"M8.931 64.053c0-2.027.77-4.054 2.316-5.6l55.98-55.98a7.92 7.92 0 0111.196 0c3.085 3.086 3.092 8.105 0 11.196L28.041 64.05l50.382 50.382a7.92 7.92 0 010 11.195c-3.086 3.085-8.104 3.092-11.196 0l-55.98-55.98a7.892 7.892 0 01-2.316-5.595z\"/></g></svg>"
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"title": "$:/core/images/chevron-right",
"tags": "$:/tags/Image",
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},
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"title": "$:/core/images/chevron-up",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-up tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M63.947 44.544c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.105 3.092-11.196 0L63.95 63.656l-50.382 50.382a7.92 7.92 0 01-11.195 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98a7.892 7.892 0 015.595-2.317z\"/><path d=\"M63.947 5.931c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.105 3.092-11.196 0L63.95 25.041 13.567 75.423a7.92 7.92 0 01-11.195 0c-3.085-3.086-3.092-8.104 0-11.196l55.98-55.98a7.892 7.892 0 015.595-2.316z\"/></g></svg>"
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"title": "$:/core/images/clone-button",
"tags": "$:/tags/Image",
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"tags": "$:/tags/Image",
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"title": "$:/core/images/delete-button",
"tags": "$:/tags/Image",
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"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-tip tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 128.242c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64-35.346 0-64 28.654-64 64 0 35.346 28.654 64 64 64zm11.936-36.789c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349C54.33 94.05 58.824 95.82 64 95.82c5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.456c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zM64.3 24.242c11.618 0 23.699 7.82 23.699 24.2S75.92 71.754 75.92 83.576c0 5.873-5.868 9.26-11.92 9.26s-12.027-3.006-12.027-9.26C51.973 71.147 40 65.47 40 48.442s12.683-24.2 24.301-24.2z\"/></svg>"
},
"$:/core/images/transcludify": {
"title": "$:/core/images/transcludify",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-transcludify-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M0 59.482c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.651-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02C1.36 67.377.591 67.288 0 67.288v-7.806zm24.66 0c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.65-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02c-.946-.177-1.715-.266-2.306-.266v-7.806zm43.965-3.538L80.6 52.041l2.306 7.097-12.063 3.903 7.628 10.378-6.12 4.435-7.63-10.467-7.45 10.201-5.943-4.524 7.628-10.023-12.152-4.17 2.306-7.096 12.064 4.17V43.347h7.451v12.596zm34.425 11.344c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806zm24.66 0c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806z\"/></svg>"
},
"$:/core/images/twitter": {
"title": "$:/core/images/twitter",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-twitter tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M41.626 115.803A73.376 73.376 0 012 104.235c2.022.238 4.08.36 6.166.36 12.111 0 23.258-4.117 32.105-11.023-11.312-.208-20.859-7.653-24.148-17.883a25.98 25.98 0 0011.674-.441C15.971 72.881 7.061 62.474 7.061 49.997c0-.108 0-.216.002-.323a25.824 25.824 0 0011.709 3.22c-6.936-4.617-11.5-12.5-11.5-21.433 0-4.719 1.274-9.142 3.5-12.945 12.75 15.579 31.797 25.83 53.281 26.904-.44-1.884-.67-3.85-.67-5.868 0-14.22 11.575-25.75 25.852-25.75a25.865 25.865 0 0118.869 8.132 51.892 51.892 0 0016.415-6.248c-1.93 6.012-6.029 11.059-11.366 14.246A51.844 51.844 0 00128 25.878a52.428 52.428 0 01-12.9 13.33c.05 1.104.075 2.214.075 3.33 0 34.028-26 73.265-73.549 73.265\"/></svg>"
},
"$:/core/images/underline": {
"title": "$:/core/images/underline",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-underline tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M7 117.421h114.248V128H7v-10.579zm97.871-18.525V0h-16.26v55.856c0 4.463-.605 8.576-1.816 12.338-1.212 3.762-3.03 7.046-5.452 9.851-2.423 2.806-5.452 4.974-9.086 6.504-3.635 1.53-7.939 2.296-12.912 2.296-6.25 0-11.159-1.786-14.73-5.356-3.57-3.571-5.356-8.417-5.356-14.538V0H23v65.038c0 5.356.542 10.234 1.626 14.633 1.084 4.4 2.965 8.194 5.643 11.382 2.678 3.188 6.185 5.643 10.52 7.365 4.337 1.721 9.756 2.582 16.26 2.582 7.27 0 13.582-1.435 18.938-4.304 5.356-2.87 9.755-7.365 13.199-13.486h.382v15.686h15.303z\"/></svg>"
},
"$:/core/images/unfold-all-button": {
"title": "$:/core/images/unfold-all-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold-all tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><rect width=\"128\" height=\"16\" y=\"64\" rx=\"8\"/><path d=\"M63.945 60.624c-2.05 0-4.101-.78-5.666-2.345L35.662 35.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 41.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 58.279a7.986 7.986 0 01-5.663 2.346zM64.004 124.565c-2.05 0-4.102-.78-5.666-2.345L35.721 99.603c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 105.255l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.662 122.22a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unfold-button": {
"title": "$:/core/images/unfold-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><path d=\"M63.945 63.624c-2.05 0-4.101-.78-5.666-2.345L35.662 38.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 44.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 61.279a7.986 7.986 0 01-5.663 2.346zM64.004 105.682c-2.05.001-4.102-.78-5.666-2.344L35.721 80.721c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 86.373l16.966-16.966c3.124-3.125 8.194-3.13 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319l-22.617 22.617a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unlocked-padlock": {
"title": "$:/core/images/unlocked-padlock",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unlocked-padlock tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M48.627 64H105v32.01C105 113.674 90.674 128 73.001 128H56C38.318 128 24 113.677 24 96.01V64h6.136c-10.455-12.651-27.364-35.788-4.3-55.142 24.636-20.672 45.835 4.353 55.777 16.201 9.943 11.85-2.676 22.437-12.457 9.892-9.78-12.545-21.167-24.146-33.207-14.043-12.041 10.104-1.757 22.36 8.813 34.958 2.467 2.94 3.641 5.732 3.865 8.134zm19.105 28.364A8.503 8.503 0 0064.5 76a8.5 8.5 0 00-3.498 16.25l-5.095 22.77H72.8l-5.07-22.656z\"/></svg>"
},
"$:/core/images/up-arrow": {
"title": "$:/core/images/up-arrow",
"created": "20150316000544368",
"modified": "20150316000831867",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-up-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M63.892.281c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.104 3.092-11.196 0L63.894 19.393 13.513 69.774a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98A7.892 7.892 0 0163.893.28z\"/></svg>"
},
"$:/core/images/video": {
"title": "$:/core/images/video",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-video tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 12c-34.91 0-55.273 2.917-58.182 5.833C2.91 20.75 0 41.167 0 64.5c0 23.333 2.91 43.75 5.818 46.667C8.728 114.083 29.091 117 64 117c34.91 0 55.273-2.917 58.182-5.833C125.09 108.25 128 87.833 128 64.5c0-23.333-2.91-43.75-5.818-46.667C119.272 14.917 98.909 12 64 12zm-9.084 32.618c-3.813-2.542-6.905-.879-6.905 3.698v31.368c0 4.585 3.099 6.235 6.905 3.698l22.168-14.779c3.813-2.542 3.806-6.669 0-9.206L54.916 44.618z\"/></svg>"
},
"$:/core/images/warning": {
"title": "$:/core/images/warning",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-warning tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M57.072 11c3.079-5.333 10.777-5.333 13.856 0l55.426 96c3.079 5.333-.77 12-6.928 12H8.574c-6.158 0-10.007-6.667-6.928-12l55.426-96zM64 37c-4.418 0-8 3.582-8 7.994v28.012C56 77.421 59.59 81 64 81c4.418 0 8-3.582 8-7.994V44.994C72 40.579 68.41 37 64 37zm0 67a8 8 0 100-16 8 8 0 000 16z\"/></svg>"
},
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "advanced search"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Advanced search"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "cancel"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Discard changes to this tiddler"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "clone"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Clone this tiddler"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "close"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Close this tiddler"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "close all"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Close all tiddlers"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "close others"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Close other tiddlers"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "control panel"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Open control panel"
},
"$:/language/Buttons/CopyToClipboard/Caption": {
"title": "$:/language/Buttons/CopyToClipboard/Caption",
"text": "copy to clipboard"
},
"$:/language/Buttons/CopyToClipboard/Hint": {
"title": "$:/language/Buttons/CopyToClipboard/Hint",
"text": "Copy this text to the clipboard"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "delete"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Delete this tiddler"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "edit"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Edit this tiddler"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "encryption"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Set or clear a password for saving this wiki"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "clear password"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Clear the password and save this wiki without encryption"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "set password"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Set a password for saving this wiki with encryption"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "export all"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Export all tiddlers"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "export tiddler"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Export tiddler"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "export tiddlers"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Export tiddlers"
},
"$:/language/Buttons/SidebarSearch/Hint": {
"title": "$:/language/Buttons/SidebarSearch/Hint",
"text": "Select the sidebar search field"
},
"$:/language/Buttons/Fold/Caption": {
"title": "$:/language/Buttons/Fold/Caption",
"text": "fold tiddler"
},
"$:/language/Buttons/Fold/Hint": {
"title": "$:/language/Buttons/Fold/Hint",
"text": "Fold the body of this tiddler"
},
"$:/language/Buttons/Fold/FoldBar/Caption": {
"title": "$:/language/Buttons/Fold/FoldBar/Caption",
"text": "fold-bar"
},
"$:/language/Buttons/Fold/FoldBar/Hint": {
"title": "$:/language/Buttons/Fold/FoldBar/Hint",
"text": "Optional bars to fold and unfold tiddlers"
},
"$:/language/Buttons/Unfold/Caption": {
"title": "$:/language/Buttons/Unfold/Caption",
"text": "unfold tiddler"
},
"$:/language/Buttons/Unfold/Hint": {
"title": "$:/language/Buttons/Unfold/Hint",
"text": "Unfold the body of this tiddler"
},
"$:/language/Buttons/FoldOthers/Caption": {
"title": "$:/language/Buttons/FoldOthers/Caption",
"text": "fold other tiddlers"
},
"$:/language/Buttons/FoldOthers/Hint": {
"title": "$:/language/Buttons/FoldOthers/Hint",
"text": "Fold the bodies of other opened tiddlers"
},
"$:/language/Buttons/FoldAll/Caption": {
"title": "$:/language/Buttons/FoldAll/Caption",
"text": "fold all tiddlers"
},
"$:/language/Buttons/FoldAll/Hint": {
"title": "$:/language/Buttons/FoldAll/Hint",
"text": "Fold the bodies of all opened tiddlers"
},
"$:/language/Buttons/UnfoldAll/Caption": {
"title": "$:/language/Buttons/UnfoldAll/Caption",
"text": "unfold all tiddlers"
},
"$:/language/Buttons/UnfoldAll/Hint": {
"title": "$:/language/Buttons/UnfoldAll/Hint",
"text": "Unfold the bodies of all opened tiddlers"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "full-screen"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Enter or leave full-screen mode"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "help"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Show help panel"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "import"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Import many types of file including text, image, TiddlyWiki or JSON"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "info"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Show information for this tiddler"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "home"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Open the default tiddlers"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "language"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Choose the user interface language"
},
"$:/language/Buttons/Manager/Caption": {
"title": "$:/language/Buttons/Manager/Caption",
"text": "tiddler manager"
},
"$:/language/Buttons/Manager/Hint": {
"title": "$:/language/Buttons/Manager/Hint",
"text": "Open tiddler manager"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "more"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "More actions"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "new here"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Create a new tiddler tagged with this one"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "new journal"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Create a new journal tiddler"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "new journal here"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Create a new journal tiddler tagged with this one"
},
"$:/language/Buttons/NewImage/Caption": {
"title": "$:/language/Buttons/NewImage/Caption",
"text": "new image"
},
"$:/language/Buttons/NewImage/Hint": {
"title": "$:/language/Buttons/NewImage/Hint",
"text": "Create a new image tiddler"
},
"$:/language/Buttons/NewMarkdown/Caption": {
"title": "$:/language/Buttons/NewMarkdown/Caption",
"text": "new Markdown tiddler"
},
"$:/language/Buttons/NewMarkdown/Hint": {
"title": "$:/language/Buttons/NewMarkdown/Hint",
"text": "Create a new Markdown tiddler"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "new tiddler"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Create a new tiddler"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "open in new window"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Open tiddler in new window"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "palette"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Choose the colour palette"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "permalink"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Set browser address bar to a direct link to this tiddler"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "permaview"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Set browser address bar to a direct link to all the tiddlers in this story"
},
"$:/language/Buttons/Print/Caption": {
"title": "$:/language/Buttons/Print/Caption",
"text": "print page"
},
"$:/language/Buttons/Print/Hint": {
"title": "$:/language/Buttons/Print/Hint",
"text": "Print the current page"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "refresh"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Perform a full refresh of the wiki"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "ok"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Confirm changes to this tiddler"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "save changes"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Save changes"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "storyview"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Choose the story visualisation"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "hide sidebar"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Hide sidebar"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "show sidebar"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Show sidebar"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "tag manager"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Open tag manager"
},
"$:/language/Buttons/Timestamp/Caption": {
"title": "$:/language/Buttons/Timestamp/Caption",
"text": "timestamps"
},
"$:/language/Buttons/Timestamp/Hint": {
"title": "$:/language/Buttons/Timestamp/Hint",
"text": "Choose whether modifications update timestamps"
},
"$:/language/Buttons/Timestamp/On/Caption": {
"title": "$:/language/Buttons/Timestamp/On/Caption",
"text": "timestamps are on"
},
"$:/language/Buttons/Timestamp/On/Hint": {
"title": "$:/language/Buttons/Timestamp/On/Hint",
"text": "Update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Timestamp/Off/Caption": {
"title": "$:/language/Buttons/Timestamp/Off/Caption",
"text": "timestamps are off"
},
"$:/language/Buttons/Timestamp/Off/Hint": {
"title": "$:/language/Buttons/Timestamp/Off/Hint",
"text": "Don't update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "theme"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Choose the display theme"
},
"$:/language/Buttons/Bold/Caption": {
"title": "$:/language/Buttons/Bold/Caption",
"text": "bold"
},
"$:/language/Buttons/Bold/Hint": {
"title": "$:/language/Buttons/Bold/Hint",
"text": "Apply bold formatting to selection"
},
"$:/language/Buttons/Clear/Caption": {
"title": "$:/language/Buttons/Clear/Caption",
"text": "clear"
},
"$:/language/Buttons/Clear/Hint": {
"title": "$:/language/Buttons/Clear/Hint",
"text": "Clear image to solid colour"
},
"$:/language/Buttons/EditorHeight/Caption": {
"title": "$:/language/Buttons/EditorHeight/Caption",
"text": "editor height"
},
"$:/language/Buttons/EditorHeight/Caption/Auto": {
"title": "$:/language/Buttons/EditorHeight/Caption/Auto",
"text": "Automatically adjust height to fit content"
},
"$:/language/Buttons/EditorHeight/Caption/Fixed": {
"title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
"text": "Fixed height:"
},
"$:/language/Buttons/EditorHeight/Hint": {
"title": "$:/language/Buttons/EditorHeight/Hint",
"text": "Choose the height of the text editor"
},
"$:/language/Buttons/Excise/Caption": {
"title": "$:/language/Buttons/Excise/Caption",
"text": "excise"
},
"$:/language/Buttons/Excise/Caption/Excise": {
"title": "$:/language/Buttons/Excise/Caption/Excise",
"text": "Perform excision"
},
"$:/language/Buttons/Excise/Caption/MacroName": {
"title": "$:/language/Buttons/Excise/Caption/MacroName",
"text": "Macro name:"
},
"$:/language/Buttons/Excise/Caption/NewTitle": {
"title": "$:/language/Buttons/Excise/Caption/NewTitle",
"text": "Title of new tiddler:"
},
"$:/language/Buttons/Excise/Caption/Replace": {
"title": "$:/language/Buttons/Excise/Caption/Replace",
"text": "Replace excised text with:"
},
"$:/language/Buttons/Excise/Caption/Replace/Macro": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Macro",
"text": "macro"
},
"$:/language/Buttons/Excise/Caption/Replace/Link": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Link",
"text": "link"
},
"$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
"text": "transclusion"
},
"$:/language/Buttons/Excise/Caption/Tag": {
"title": "$:/language/Buttons/Excise/Caption/Tag",
"text": "Tag new tiddler with the title of this tiddler"
},
"$:/language/Buttons/Excise/Caption/TiddlerExists": {
"title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
"text": "Warning: tiddler already exists"
},
"$:/language/Buttons/Excise/Hint": {
"title": "$:/language/Buttons/Excise/Hint",
"text": "Excise the selected text into a new tiddler"
},
"$:/language/Buttons/Heading1/Caption": {
"title": "$:/language/Buttons/Heading1/Caption",
"text": "heading 1"
},
"$:/language/Buttons/Heading1/Hint": {
"title": "$:/language/Buttons/Heading1/Hint",
"text": "Apply heading level 1 formatting to lines containing selection"
},
"$:/language/Buttons/Heading2/Caption": {
"title": "$:/language/Buttons/Heading2/Caption",
"text": "heading 2"
},
"$:/language/Buttons/Heading2/Hint": {
"title": "$:/language/Buttons/Heading2/Hint",
"text": "Apply heading level 2 formatting to lines containing selection"
},
"$:/language/Buttons/Heading3/Caption": {
"title": "$:/language/Buttons/Heading3/Caption",
"text": "heading 3"
},
"$:/language/Buttons/Heading3/Hint": {
"title": "$:/language/Buttons/Heading3/Hint",
"text": "Apply heading level 3 formatting to lines containing selection"
},
"$:/language/Buttons/Heading4/Caption": {
"title": "$:/language/Buttons/Heading4/Caption",
"text": "heading 4"
},
"$:/language/Buttons/Heading4/Hint": {
"title": "$:/language/Buttons/Heading4/Hint",
"text": "Apply heading level 4 formatting to lines containing selection"
},
"$:/language/Buttons/Heading5/Caption": {
"title": "$:/language/Buttons/Heading5/Caption",
"text": "heading 5"
},
"$:/language/Buttons/Heading5/Hint": {
"title": "$:/language/Buttons/Heading5/Hint",
"text": "Apply heading level 5 formatting to lines containing selection"
},
"$:/language/Buttons/Heading6/Caption": {
"title": "$:/language/Buttons/Heading6/Caption",
"text": "heading 6"
},
"$:/language/Buttons/Heading6/Hint": {
"title": "$:/language/Buttons/Heading6/Hint",
"text": "Apply heading level 6 formatting to lines containing selection"
},
"$:/language/Buttons/Italic/Caption": {
"title": "$:/language/Buttons/Italic/Caption",
"text": "italic"
},
"$:/language/Buttons/Italic/Hint": {
"title": "$:/language/Buttons/Italic/Hint",
"text": "Apply italic formatting to selection"
},
"$:/language/Buttons/LineWidth/Caption": {
"title": "$:/language/Buttons/LineWidth/Caption",
"text": "line width"
},
"$:/language/Buttons/LineWidth/Hint": {
"title": "$:/language/Buttons/LineWidth/Hint",
"text": "Set line width for painting"
},
"$:/language/Buttons/Link/Caption": {
"title": "$:/language/Buttons/Link/Caption",
"text": "link"
},
"$:/language/Buttons/Link/Hint": {
"title": "$:/language/Buttons/Link/Hint",
"text": "Create wikitext link"
},
"$:/language/Buttons/Linkify/Caption": {
"title": "$:/language/Buttons/Linkify/Caption",
"text": "wikilink"
},
"$:/language/Buttons/Linkify/Hint": {
"title": "$:/language/Buttons/Linkify/Hint",
"text": "Wrap selection in square brackets"
},
"$:/language/Buttons/ListBullet/Caption": {
"title": "$:/language/Buttons/ListBullet/Caption",
"text": "bulleted list"
},
"$:/language/Buttons/ListBullet/Hint": {
"title": "$:/language/Buttons/ListBullet/Hint",
"text": "Apply bulleted list formatting to lines containing selection"
},
"$:/language/Buttons/ListNumber/Caption": {
"title": "$:/language/Buttons/ListNumber/Caption",
"text": "numbered list"
},
"$:/language/Buttons/ListNumber/Hint": {
"title": "$:/language/Buttons/ListNumber/Hint",
"text": "Apply numbered list formatting to lines containing selection"
},
"$:/language/Buttons/MonoBlock/Caption": {
"title": "$:/language/Buttons/MonoBlock/Caption",
"text": "monospaced block"
},
"$:/language/Buttons/MonoBlock/Hint": {
"title": "$:/language/Buttons/MonoBlock/Hint",
"text": "Apply monospaced block formatting to lines containing selection"
},
"$:/language/Buttons/MonoLine/Caption": {
"title": "$:/language/Buttons/MonoLine/Caption",
"text": "monospaced"
},
"$:/language/Buttons/MonoLine/Hint": {
"title": "$:/language/Buttons/MonoLine/Hint",
"text": "Apply monospaced character formatting to selection"
},
"$:/language/Buttons/Opacity/Caption": {
"title": "$:/language/Buttons/Opacity/Caption",
"text": "opacity"
},
"$:/language/Buttons/Opacity/Hint": {
"title": "$:/language/Buttons/Opacity/Hint",
"text": "Set painting opacity"
},
"$:/language/Buttons/Paint/Caption": {
"title": "$:/language/Buttons/Paint/Caption",
"text": "paint colour"
},
"$:/language/Buttons/Paint/Hint": {
"title": "$:/language/Buttons/Paint/Hint",
"text": "Set painting colour"
},
"$:/language/Buttons/Picture/Caption": {
"title": "$:/language/Buttons/Picture/Caption",
"text": "picture"
},
"$:/language/Buttons/Picture/Hint": {
"title": "$:/language/Buttons/Picture/Hint",
"text": "Insert picture"
},
"$:/language/Buttons/Preview/Caption": {
"title": "$:/language/Buttons/Preview/Caption",
"text": "preview"
},
"$:/language/Buttons/Preview/Hint": {
"title": "$:/language/Buttons/Preview/Hint",
"text": "Show preview pane"
},
"$:/language/Buttons/PreviewType/Caption": {
"title": "$:/language/Buttons/PreviewType/Caption",
"text": "preview type"
},
"$:/language/Buttons/PreviewType/Hint": {
"title": "$:/language/Buttons/PreviewType/Hint",
"text": "Choose preview type"
},
"$:/language/Buttons/Quote/Caption": {
"title": "$:/language/Buttons/Quote/Caption",
"text": "quote"
},
"$:/language/Buttons/Quote/Hint": {
"title": "$:/language/Buttons/Quote/Hint",
"text": "Apply quoted text formatting to lines containing selection"
},
"$:/language/Buttons/RotateLeft/Caption": {
"title": "$:/language/Buttons/RotateLeft/Caption",
"text": "rotate left"
},
"$:/language/Buttons/RotateLeft/Hint": {
"title": "$:/language/Buttons/RotateLeft/Hint",
"text": "Rotate image left by 90 degrees"
},
"$:/language/Buttons/Size/Caption": {
"title": "$:/language/Buttons/Size/Caption",
"text": "image size"
},
"$:/language/Buttons/Size/Caption/Height": {
"title": "$:/language/Buttons/Size/Caption/Height",
"text": "Height:"
},
"$:/language/Buttons/Size/Caption/Resize": {
"title": "$:/language/Buttons/Size/Caption/Resize",
"text": "Resize image"
},
"$:/language/Buttons/Size/Caption/Width": {
"title": "$:/language/Buttons/Size/Caption/Width",
"text": "Width:"
},
"$:/language/Buttons/Size/Hint": {
"title": "$:/language/Buttons/Size/Hint",
"text": "Set image size"
},
"$:/language/Buttons/Stamp/Caption": {
"title": "$:/language/Buttons/Stamp/Caption",
"text": "stamp"
},
"$:/language/Buttons/Stamp/Caption/New": {
"title": "$:/language/Buttons/Stamp/Caption/New",
"text": "Add your own"
},
"$:/language/Buttons/Stamp/Hint": {
"title": "$:/language/Buttons/Stamp/Hint",
"text": "Insert a preconfigured snippet of text"
},
"$:/language/Buttons/Stamp/New/Title": {
"title": "$:/language/Buttons/Stamp/New/Title",
"text": "Name as shown in menu"
},
"$:/language/Buttons/Stamp/New/Text": {
"title": "$:/language/Buttons/Stamp/New/Text",
"text": "Text of snippet. (Remember to add a descriptive title in the caption field)."
},
"$:/language/Buttons/Strikethrough/Caption": {
"title": "$:/language/Buttons/Strikethrough/Caption",
"text": "strikethrough"
},
"$:/language/Buttons/Strikethrough/Hint": {
"title": "$:/language/Buttons/Strikethrough/Hint",
"text": "Apply strikethrough formatting to selection"
},
"$:/language/Buttons/Subscript/Caption": {
"title": "$:/language/Buttons/Subscript/Caption",
"text": "subscript"
},
"$:/language/Buttons/Subscript/Hint": {
"title": "$:/language/Buttons/Subscript/Hint",
"text": "Apply subscript formatting to selection"
},
"$:/language/Buttons/Superscript/Caption": {
"title": "$:/language/Buttons/Superscript/Caption",
"text": "superscript"
},
"$:/language/Buttons/Superscript/Hint": {
"title": "$:/language/Buttons/Superscript/Hint",
"text": "Apply superscript formatting to selection"
},
"$:/language/Buttons/ToggleSidebar/Hint": {
"title": "$:/language/Buttons/ToggleSidebar/Hint",
"text": "Toggle the sidebar visibility"
},
"$:/language/Buttons/Transcludify/Caption": {
"title": "$:/language/Buttons/Transcludify/Caption",
"text": "transclusion"
},
"$:/language/Buttons/Transcludify/Hint": {
"title": "$:/language/Buttons/Transcludify/Hint",
"text": "Wrap selection in curly brackets"
},
"$:/language/Buttons/Underline/Caption": {
"title": "$:/language/Buttons/Underline/Caption",
"text": "underline"
},
"$:/language/Buttons/Underline/Hint": {
"title": "$:/language/Buttons/Underline/Hint",
"text": "Apply underline formatting to selection"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Advanced"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Internal information about this TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Appearance"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Ways to customise the appearance of your TiddlyWiki."
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Animation duration"
},
"$:/language/ControlPanel/Basics/AutoFocus/Prompt": {
"title": "$:/language/ControlPanel/Basics/AutoFocus/Prompt",
"text": "Default focus field for new tiddlers"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Basics"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Use [[double square brackets]] for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Default tiddlers"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Choose which tiddlers are displayed at startup"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "Hello! Current language:"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Title of new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Text/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt",
"text": "Text for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Tags for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt",
"text": "Title of new tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt",
"text": "Tags for new tiddlers"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Number of overridden shadow tiddlers"
},
"$:/language/ControlPanel/Basics/RemoveTags": {
"title": "$:/language/ControlPanel/Basics/RemoveTags",
"text": "Update to current format"
},
"$:/language/ControlPanel/Basics/RemoveTags/Hint": {
"title": "$:/language/ControlPanel/Basics/RemoveTags/Hint",
"text": "Update the tags configuration to the latest format"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Number of shadow tiddlers"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Subtitle"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Number of system tiddlers"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Number of tags"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Number of tiddlers"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Title of this ~TiddlyWiki"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Username for signing edits"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "~TiddlyWiki version"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Editor Types"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Editor"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "These tiddlers determine which editor is used to edit specific tiddler types."
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Type"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Info"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Information about this TiddlyWiki"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
"text": "Type shortcut here"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
"text": "add shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
"text": "Keyboard Shortcuts"
},
"$:/language/ControlPanel/KeyboardShortcuts/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
"text": "Manage keyboard shortcut assignments"
},
"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
"text": "No keyboard shortcuts assigned"
},
"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
"text": "remove keyboard shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
"text": "All platforms"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
"text": "Macintosh platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
"text": "Non-Macintosh platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
"text": "Linux platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
"text": "Non-Linux platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
"text": "Windows platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
"text": "Non-Windows platforms only"
},
"$:/language/ControlPanel/LayoutSwitcher/Caption": {
"title": "$:/language/ControlPanel/LayoutSwitcher/Caption",
"text": "Layout"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Loaded Modules"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Palette"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "clone"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "It is recommended that you clone this shadow palette before editing it"
},
"$:/language/ControlPanel/Palette/Editor/Delete/Hint": {
"title": "$:/language/ControlPanel/Palette/Editor/Delete/Hint",
"text": "delete this entry from the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Names/External/Show": {
"title": "$:/language/ControlPanel/Palette/Editor/Names/External/Show",
"text": "Show color names that are not part of the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "This shadow palette has been modified"
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Editing"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "reset"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "hide editor"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Current palette:"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "show editor"
},
"$:/language/ControlPanel/Parsing/Caption": {
"title": "$:/language/ControlPanel/Parsing/Caption",
"text": "Parsing"
},
"$:/language/ControlPanel/Parsing/Hint": {
"title": "$:/language/ControlPanel/Parsing/Hint",
"text": "Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."
},
"$:/language/ControlPanel/Parsing/Block/Caption": {
"title": "$:/language/ControlPanel/Parsing/Block/Caption",
"text": "Block Parse Rules"
},
"$:/language/ControlPanel/Parsing/Inline/Caption": {
"title": "$:/language/ControlPanel/Parsing/Inline/Caption",
"text": "Inline Parse Rules"
},
"$:/language/ControlPanel/Parsing/Pragma/Caption": {
"title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
"text": "Pragma Parse Rules"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Get more plugins"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Install plugins from the official library"
},
"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint",
"text": "This plugin is already installed at version <$text text=<<installedVersion>>/>"
},
"$:/language/ControlPanel/Plugins/AlsoRequires": {
"title": "$:/language/ControlPanel/Plugins/AlsoRequires",
"text": "Also requires:"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "disable"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Disable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(disabled)"
},
"$:/language/ControlPanel/Plugins/Downgrade/Caption": {
"title": "$:/language/ControlPanel/Plugins/Downgrade/Caption",
"text": "downgrade"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "None"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "enable"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Enable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Install/Caption": {
"title": "$:/language/ControlPanel/Plugins/Install/Caption",
"text": "install"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Currently installed plugins:"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Languages"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Language pack plugins"
},
"$:/language/ControlPanel/Plugins/NoInfoFound/Hint": {
"title": "$:/language/ControlPanel/Plugins/NoInfoFound/Hint",
"text": "No ''\"<$text text=<<currentTab>>/>\"'' found"
},
"$:/language/ControlPanel/Plugins/NotInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/NotInstalled/Hint",
"text": "This plugin is not currently installed"
},
"$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
"text": "open plugin library"
},
"$:/language/ControlPanel/Plugins/ClosePluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/ClosePluginLibrary",
"text": "close plugin library"
},
"$:/language/ControlPanel/Plugins/PluginWillRequireReload": {
"title": "$:/language/ControlPanel/Plugins/PluginWillRequireReload",
"text": "(requires reload)"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Reinstall/Caption": {
"title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
"text": "reinstall"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Themes"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Theme plugins"
},
"$:/language/ControlPanel/Plugins/Update/Caption": {
"title": "$:/language/ControlPanel/Plugins/Update/Caption",
"text": "update"
},
"$:/language/ControlPanel/Plugins/Updates/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/Caption",
"text": "Updates"
},
"$:/language/ControlPanel/Plugins/Updates/Hint": {
"title": "$:/language/ControlPanel/Plugins/Updates/Hint",
"text": "Available updates to installed plugins"
},
"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption",
"text": "Update <<update-count>> plugins"
},
"$:/language/ControlPanel/Plugins/SubPluginPrompt": {
"title": "$:/language/ControlPanel/Plugins/SubPluginPrompt",
"text": "With <<count>> sub-plugins available"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Saving"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description",
"text": "Permit automatic saving for the download saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint",
"text": "Enable Autosave for Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Caption": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Caption",
"text": "Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Hint",
"text": "These settings apply to the HTML5-compatible download saver"
},
"$:/language/ControlPanel/Saving/General/Caption": {
"title": "$:/language/ControlPanel/Saving/General/Caption",
"text": "General"
},
"$:/language/ControlPanel/Saving/General/Hint": {
"title": "$:/language/ControlPanel/Saving/General/Hint",
"text": "These settings apply to all the loaded savers"
},
"$:/language/ControlPanel/Saving/Hint": {
"title": "$:/language/ControlPanel/Saving/Hint",
"text": "Settings used for saving the entire TiddlyWiki as a single file via a saver module"
},
"$:/language/ControlPanel/Saving/GitService/Branch": {
"title": "$:/language/ControlPanel/Saving/GitService/Branch",
"text": "Target branch for saving"
},
"$:/language/ControlPanel/Saving/GitService/CommitMessage": {
"title": "$:/language/ControlPanel/Saving/GitService/CommitMessage",
"text": "Saved by TiddlyWiki"
},
"$:/language/ControlPanel/Saving/GitService/Description": {
"title": "$:/language/ControlPanel/Saving/GitService/Description",
"text": "These settings are only used when saving to <<service-name>>"
},
"$:/language/ControlPanel/Saving/GitService/Filename": {
"title": "$:/language/ControlPanel/Saving/GitService/Filename",
"text": "Filename of target file (e.g. `index.html`)"
},
"$:/language/ControlPanel/Saving/GitService/Path": {
"title": "$:/language/ControlPanel/Saving/GitService/Path",
"text": "Path to target file (e.g. `/wiki/`)"
},
"$:/language/ControlPanel/Saving/GitService/Repo": {
"title": "$:/language/ControlPanel/Saving/GitService/Repo",
"text": "Target repository (e.g. `Jermolene/TiddlyWiki5`)"
},
"$:/language/ControlPanel/Saving/GitService/ServerURL": {
"title": "$:/language/ControlPanel/Saving/GitService/ServerURL",
"text": "Server API URL"
},
"$:/language/ControlPanel/Saving/GitService/UserName": {
"title": "$:/language/ControlPanel/Saving/GitService/UserName",
"text": "Username"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Caption",
"text": "~GitHub Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Password",
"text": "Password, OAUTH token, or personal access token (see [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Caption",
"text": "~GitLab Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Password",
"text": "Personal access token for API (see [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Caption",
"text": "Gitea Saver"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Password",
"text": "Personal access token for API (via Gitea’s web interface: `Settings | Applications | Generate New Token`)"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Advanced Settings"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Backup Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel",
"text": "~TiddlySpot Control Panel"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Backups"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Caption": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Caption",
"text": "~TiddlySpot Saver"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Upload Filename"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Password"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly",
"text": "The ~TiddlySpot service is currently only available in read-only form. Please see http://tiddlyspot.com/ for the latest details. The ~TiddlySpot saver can still be used to save to compatible servers."
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "Server URL"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Upload Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Wiki Name"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Autosave"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "Do not save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Attempt to automatically save changes during editing when using a supporting saver"
},
"$:/language/ControlPanel/Settings/CamelCase/Caption": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
"text": "Camel Case Wiki Links"
},
"$:/language/ControlPanel/Settings/CamelCase/Hint": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
"text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/CamelCase/Description": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Description",
"text": "Enable automatic ~CamelCase linking"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Settings"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Hint",
"text": "Enable or disable the editor toolbar:"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Description": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Description",
"text": "Show editor toolbar"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Caption": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Caption",
"text": "Tiddler Info Panel Mode"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Hint": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Hint",
"text": "Control when the tiddler info panel closes:"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description",
"text": "Tiddler info panel closes automatically"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description",
"text": "Tiddler info panel stays open until explicitly closed"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "These settings let you customise the behaviour of TiddlyWiki."
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Navigation Address Bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Behaviour of the browser address bar when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "Do not update the address bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Include the target tiddler"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Include the target tiddler and the current story sequence"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "Navigation History"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Update browser history when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "Do not update history"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Update history"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption",
"text": "Permalink/permaview Mode"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint",
"text": "Choose how permalink/permaview is handled:"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description",
"text": "Copy permalink/permaview URL to clipboard"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description",
"text": "Update address bar with permalink/permaview URL"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
"text": "Performance Instrumentation"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
"text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
"text": "Enable performance instrumentation"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Toolbar Button Style"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Choose the style for toolbar buttons:"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Borderless"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Boxed"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Rounded"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Toolbar Buttons"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Default toolbar button appearance:"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Include icon"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Include text"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Default Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Specify which sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption",
"text": "Default More Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint",
"text": "Specify which More sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Tiddler Opening Behaviour"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "Navigation from //within// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "Navigation from //outside// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Open above the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Open below the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Open at the top of the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Open at the bottom of the story river"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Tiddler Titles"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Optionally display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "Do not display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Caption",
"text": "Wiki Links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Hint",
"text": "Choose whether to link to tiddlers that do not exist yet"
},
"$:/language/ControlPanel/Settings/MissingLinks/Description": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Description",
"text": "Enable links to missing tiddlers"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Story View"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Current view:"
},
"$:/language/ControlPanel/Stylesheets/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Caption",
"text": "Stylesheets"
},
"$:/language/ControlPanel/Stylesheets/Expand/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Expand/Caption",
"text": "Expand All"
},
"$:/language/ControlPanel/Stylesheets/Hint": {
"title": "$:/language/ControlPanel/Stylesheets/Hint",
"text": "This is the rendered CSS of the current stylesheet tiddlers tagged with <<tag \"$:/tags/Stylesheet\">>"
},
"$:/language/ControlPanel/Stylesheets/Restore/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Restore/Caption",
"text": "Restore"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Theme"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Current theme:"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Tiddler Fields"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Toolbars"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "Edit Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in edit mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Select which toolbar buttons are displayed"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Page Toolbar"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Choose which buttons are displayed on the main page toolbar. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint",
"text": "Choose which buttons are displayed in the editor toolbar. Note that some buttons will only appear when editing tiddlers of a certain type. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "View Toolbar"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in view mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Download full wiki"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "st"
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": "nd"
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": "rd"
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": "th"
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": "th"
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": "th"
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": "th"
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": "th"
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": "th"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": "th"
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": "th"
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": "th"
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": "th"
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": "th"
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": "th"
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": "th"
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": "th"
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": "th"
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": "th"
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": "th"
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": "st"
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": "nd"
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": "rd"
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": "th"
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": "th"
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": "th"
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": "th"
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": "th"
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": "th"
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": "th"
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": "st"
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "Sunday"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "Monday"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "Tuesday"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "Wednesday"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "Thursday"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "Friday"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "Saturday"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "January"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "February"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "March"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "April"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "May"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "June"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "July"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "August"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "September"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "October"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "November"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "December"
},
"$:/language/Date/Period/am": {
"title": "$:/language/Date/Period/am",
"text": "am"
},
"$:/language/Date/Period/pm": {
"title": "$:/language/Date/Period/pm",
"text": "pm"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Sun"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Mon"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Tue"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Wed"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Thu"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Fri"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Sat"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "Jan"
},
"$:/language/Date/Short/Month/2": {
"title": "$:/language/Date/Short/Month/2",
"text": "Feb"
},
"$:/language/Date/Short/Month/3": {
"title": "$:/language/Date/Short/Month/3",
"text": "Mar"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "Apr"
},
"$:/language/Date/Short/Month/5": {
"title": "$:/language/Date/Short/Month/5",
"text": "May"
},
"$:/language/Date/Short/Month/6": {
"title": "$:/language/Date/Short/Month/6",
"text": "Jun"
},
"$:/language/Date/Short/Month/7": {
"title": "$:/language/Date/Short/Month/7",
"text": "Jul"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "Aug"
},
"$:/language/Date/Short/Month/9": {
"title": "$:/language/Date/Short/Month/9",
"text": "Sep"
},
"$:/language/Date/Short/Month/10": {
"title": "$:/language/Date/Short/Month/10",
"text": "Oct"
},
"$:/language/Date/Short/Month/11": {
"title": "$:/language/Date/Short/Month/11",
"text": "Nov"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "Dec"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "<<period>> days from now"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "<<period>> hours from now"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "<<period>> minutes from now"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "<<period>> months from now"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "1 second from now"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "<<period>> seconds from now"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "<<period>> years from now"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "<<period>> days ago"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "<<period>> hours ago"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "<<period>> minutes ago"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "<<period>> months ago"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "1 second ago"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "<<period>> seconds ago"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "<<period>> years ago"
},
"$:/language/Docs/ModuleTypes/allfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/allfilteroperator",
"text": "A sub-operator for the ''all'' filter operator."
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Animations that may be used with the RevealWidget."
},
"$:/language/Docs/ModuleTypes/authenticator": {
"title": "$:/language/Docs/ModuleTypes/authenticator",
"text": "Defines how requests are authenticated by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/bitmapeditoroperation": {
"title": "$:/language/Docs/ModuleTypes/bitmapeditoroperation",
"text": "A bitmap editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Commands that can be executed under Node.js."
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Data to be inserted into `$tw.config`."
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Individual filter operator methods."
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Global data to be inserted into `$tw`."
},
"$:/language/Docs/ModuleTypes/info": {
"title": "$:/language/Docs/ModuleTypes/info",
"text": "Publishes system information via the [[$:/temp/info-plugin]] pseudo-plugin."
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Operands for the ''is'' filter operator."
},
"$:/language/Docs/ModuleTypes/library": {
"title": "$:/language/Docs/ModuleTypes/library",
"text": "Generic module type for general purpose JavaScript modules."
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "JavaScript macro definitions."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Parsers for different content types."
},
"$:/language/Docs/ModuleTypes/route": {
"title": "$:/language/Docs/ModuleTypes/route",
"text": "Defines how individual URL patterns are handled by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Savers handle different methods for saving files from the browser."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Startup functions."
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Story views customise the animation and behaviour of list widgets."
},
"$:/language/Docs/ModuleTypes/texteditoroperation": {
"title": "$:/language/Docs/ModuleTypes/texteditoroperation",
"text": "A text editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Converts different content types into tiddlers."
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Defines the behaviour of an individual tiddler field."
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Adds methods to the `$tw.Tiddler` prototype."
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Applies upgrade processing to tiddlers during an upgrade/import."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Adds methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Adds Node.js-specific methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Widgets encapsulate DOM rendering and refreshing."
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Adds methods to `$tw.Wiki`."
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Individual parser rules for the main WikiText parser."
},
"$:/language/Docs/PaletteColours/alert-background": {
"title": "$:/language/Docs/PaletteColours/alert-background",
"text": "Alert background"
},
"$:/language/Docs/PaletteColours/alert-border": {
"title": "$:/language/Docs/PaletteColours/alert-border",
"text": "Alert border"
},
"$:/language/Docs/PaletteColours/alert-highlight": {
"title": "$:/language/Docs/PaletteColours/alert-highlight",
"text": "Alert highlight"
},
"$:/language/Docs/PaletteColours/alert-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
"text": "Alert muted foreground"
},
"$:/language/Docs/PaletteColours/background": {
"title": "$:/language/Docs/PaletteColours/background",
"text": "General background"
},
"$:/language/Docs/PaletteColours/blockquote-bar": {
"title": "$:/language/Docs/PaletteColours/blockquote-bar",
"text": "Blockquote bar"
},
"$:/language/Docs/PaletteColours/button-background": {
"title": "$:/language/Docs/PaletteColours/button-background",
"text": "Default button background"
},
"$:/language/Docs/PaletteColours/button-border": {
"title": "$:/language/Docs/PaletteColours/button-border",
"text": "Default button border"
},
"$:/language/Docs/PaletteColours/button-foreground": {
"title": "$:/language/Docs/PaletteColours/button-foreground",
"text": "Default button foreground"
},
"$:/language/Docs/PaletteColours/dirty-indicator": {
"title": "$:/language/Docs/PaletteColours/dirty-indicator",
"text": "Unsaved changes indicator"
},
"$:/language/Docs/PaletteColours/code-background": {
"title": "$:/language/Docs/PaletteColours/code-background",
"text": "Code background"
},
"$:/language/Docs/PaletteColours/code-border": {
"title": "$:/language/Docs/PaletteColours/code-border",
"text": "Code border"
},
"$:/language/Docs/PaletteColours/code-foreground": {
"title": "$:/language/Docs/PaletteColours/code-foreground",
"text": "Code foreground"
},
"$:/language/Docs/PaletteColours/download-background": {
"title": "$:/language/Docs/PaletteColours/download-background",
"text": "Download button background"
},
"$:/language/Docs/PaletteColours/download-foreground": {
"title": "$:/language/Docs/PaletteColours/download-foreground",
"text": "Download button foreground"
},
"$:/language/Docs/PaletteColours/dragger-background": {
"title": "$:/language/Docs/PaletteColours/dragger-background",
"text": "Dragger background"
},
"$:/language/Docs/PaletteColours/dragger-foreground": {
"title": "$:/language/Docs/PaletteColours/dragger-foreground",
"text": "Dragger foreground"
},
"$:/language/Docs/PaletteColours/dropdown-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-background",
"text": "Dropdown background"
},
"$:/language/Docs/PaletteColours/dropdown-border": {
"title": "$:/language/Docs/PaletteColours/dropdown-border",
"text": "Dropdown border"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
"text": "Dropdown tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
"text": "Dropdown tab background"
},
"$:/language/Docs/PaletteColours/dropzone-background": {
"title": "$:/language/Docs/PaletteColours/dropzone-background",
"text": "Dropzone background"
},
"$:/language/Docs/PaletteColours/external-link-background-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-background-hover",
"text": "External link background hover"
},
"$:/language/Docs/PaletteColours/external-link-background-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-background-visited",
"text": "External link background visited"
},
"$:/language/Docs/PaletteColours/external-link-background": {
"title": "$:/language/Docs/PaletteColours/external-link-background",
"text": "External link background"
},
"$:/language/Docs/PaletteColours/external-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
"text": "External link foreground hover"
},
"$:/language/Docs/PaletteColours/external-link-foreground-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
"text": "External link foreground visited"
},
"$:/language/Docs/PaletteColours/external-link-foreground": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground",
"text": "External link foreground"
},
"$:/language/Docs/PaletteColours/foreground": {
"title": "$:/language/Docs/PaletteColours/foreground",
"text": "General foreground"
},
"$:/language/Docs/PaletteColours/menubar-background": {
"title": "$:/language/Docs/PaletteColours/menubar-background",
"text": "Menu bar background"
},
"$:/language/Docs/PaletteColours/menubar-foreground": {
"title": "$:/language/Docs/PaletteColours/menubar-foreground",
"text": "Menu bar foreground"
},
"$:/language/Docs/PaletteColours/message-background": {
"title": "$:/language/Docs/PaletteColours/message-background",
"text": "Message box background"
},
"$:/language/Docs/PaletteColours/message-border": {
"title": "$:/language/Docs/PaletteColours/message-border",
"text": "Message box border"
},
"$:/language/Docs/PaletteColours/message-foreground": {
"title": "$:/language/Docs/PaletteColours/message-foreground",
"text": "Message box foreground"
},
"$:/language/Docs/PaletteColours/modal-backdrop": {
"title": "$:/language/Docs/PaletteColours/modal-backdrop",
"text": "Modal backdrop"
},
"$:/language/Docs/PaletteColours/modal-background": {
"title": "$:/language/Docs/PaletteColours/modal-background",
"text": "Modal background"
},
"$:/language/Docs/PaletteColours/modal-border": {
"title": "$:/language/Docs/PaletteColours/modal-border",
"text": "Modal border"
},
"$:/language/Docs/PaletteColours/modal-footer-background": {
"title": "$:/language/Docs/PaletteColours/modal-footer-background",
"text": "Modal footer background"
},
"$:/language/Docs/PaletteColours/modal-footer-border": {
"title": "$:/language/Docs/PaletteColours/modal-footer-border",
"text": "Modal footer border"
},
"$:/language/Docs/PaletteColours/modal-header-border": {
"title": "$:/language/Docs/PaletteColours/modal-header-border",
"text": "Modal header border"
},
"$:/language/Docs/PaletteColours/muted-foreground": {
"title": "$:/language/Docs/PaletteColours/muted-foreground",
"text": "General muted foreground"
},
"$:/language/Docs/PaletteColours/notification-background": {
"title": "$:/language/Docs/PaletteColours/notification-background",
"text": "Notification background"
},
"$:/language/Docs/PaletteColours/notification-border": {
"title": "$:/language/Docs/PaletteColours/notification-border",
"text": "Notification border"
},
"$:/language/Docs/PaletteColours/page-background": {
"title": "$:/language/Docs/PaletteColours/page-background",
"text": "Page background"
},
"$:/language/Docs/PaletteColours/pre-background": {
"title": "$:/language/Docs/PaletteColours/pre-background",
"text": "Preformatted code background"
},
"$:/language/Docs/PaletteColours/pre-border": {
"title": "$:/language/Docs/PaletteColours/pre-border",
"text": "Preformatted code border"
},
"$:/language/Docs/PaletteColours/primary": {
"title": "$:/language/Docs/PaletteColours/primary",
"text": "General primary"
},
"$:/language/Docs/PaletteColours/select-tag-background": {
"title": "$:/language/Docs/PaletteColours/select-tag-background",
"text": "`<select>` element background"
},
"$:/language/Docs/PaletteColours/select-tag-foreground": {
"title": "$:/language/Docs/PaletteColours/select-tag-foreground",
"text": "`<select>` element text"
},
"$:/language/Docs/PaletteColours/sidebar-button-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
"text": "Sidebar button foreground"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
"text": "Sidebar controls foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
"text": "Sidebar controls foreground"
},
"$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
"text": "Sidebar foreground shadow"
},
"$:/language/Docs/PaletteColours/sidebar-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground",
"text": "Sidebar foreground"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
"text": "Sidebar muted foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
"text": "Sidebar muted foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
"text": "Sidebar tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
"text": "Sidebar tab background"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
"text": "Sidebar tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
"text": "Sidebar tab border"
},
"$:/language/Docs/PaletteColours/sidebar-tab-divider": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
"text": "Sidebar tab divider"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
"text": "Sidebar tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
"text": "Sidebar tab foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
"text": "Sidebar tiddler link foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
"text": "Sidebar tiddler link foreground"
},
"$:/language/Docs/PaletteColours/site-title-foreground": {
"title": "$:/language/Docs/PaletteColours/site-title-foreground",
"text": "Site title foreground"
},
"$:/language/Docs/PaletteColours/static-alert-foreground": {
"title": "$:/language/Docs/PaletteColours/static-alert-foreground",
"text": "Static alert foreground"
},
"$:/language/Docs/PaletteColours/tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/tab-background-selected",
"text": "Tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-background": {
"title": "$:/language/Docs/PaletteColours/tab-background",
"text": "Tab background"
},
"$:/language/Docs/PaletteColours/tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/tab-border-selected",
"text": "Tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-border": {
"title": "$:/language/Docs/PaletteColours/tab-border",
"text": "Tab border"
},
"$:/language/Docs/PaletteColours/tab-divider": {
"title": "$:/language/Docs/PaletteColours/tab-divider",
"text": "Tab divider"
},
"$:/language/Docs/PaletteColours/tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
"text": "Tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-foreground": {
"title": "$:/language/Docs/PaletteColours/tab-foreground",
"text": "Tab foreground"
},
"$:/language/Docs/PaletteColours/table-border": {
"title": "$:/language/Docs/PaletteColours/table-border",
"text": "Table border"
},
"$:/language/Docs/PaletteColours/table-footer-background": {
"title": "$:/language/Docs/PaletteColours/table-footer-background",
"text": "Table footer background"
},
"$:/language/Docs/PaletteColours/table-header-background": {
"title": "$:/language/Docs/PaletteColours/table-header-background",
"text": "Table header background"
},
"$:/language/Docs/PaletteColours/tag-background": {
"title": "$:/language/Docs/PaletteColours/tag-background",
"text": "Tag background"
},
"$:/language/Docs/PaletteColours/tag-foreground": {
"title": "$:/language/Docs/PaletteColours/tag-foreground",
"text": "Tag foreground"
},
"$:/language/Docs/PaletteColours/tiddler-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-background",
"text": "Tiddler background"
},
"$:/language/Docs/PaletteColours/tiddler-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-border",
"text": "Tiddler border"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
"text": "Tiddler controls foreground hover"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
"text": "Tiddler controls foreground for selected controls"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
"text": "Tiddler controls foreground"
},
"$:/language/Docs/PaletteColours/tiddler-editor-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
"text": "Tiddler editor background"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
"text": "Tiddler editor border image"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
"text": "Tiddler editor border"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
"text": "Tiddler editor background for even fields"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
"text": "Tiddler editor background for odd fields"
},
"$:/language/Docs/PaletteColours/tiddler-info-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-background",
"text": "Tiddler info panel background"
},
"$:/language/Docs/PaletteColours/tiddler-info-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-border",
"text": "Tiddler info panel border"
},
"$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
"text": "Tiddler info panel tab background"
},
"$:/language/Docs/PaletteColours/tiddler-link-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-background",
"text": "Tiddler link background"
},
"$:/language/Docs/PaletteColours/tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
"text": "Tiddler link foreground"
},
"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
"text": "Tiddler subtitle foreground"
},
"$:/language/Docs/PaletteColours/tiddler-title-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
"text": "Tiddler title foreground"
},
"$:/language/Docs/PaletteColours/toolbar-new-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-new-button",
"text": "Toolbar 'new tiddler' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-options-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-options-button",
"text": "Toolbar 'options' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-save-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-save-button",
"text": "Toolbar 'save' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-info-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-info-button",
"text": "Toolbar 'info' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-edit-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
"text": "Toolbar 'edit' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-close-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-close-button",
"text": "Toolbar 'close' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-delete-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
"text": "Toolbar 'delete' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-cancel-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
"text": "Toolbar 'cancel' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-done-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-done-button",
"text": "Toolbar 'done' button foreground"
},
"$:/language/Docs/PaletteColours/untagged-background": {
"title": "$:/language/Docs/PaletteColours/untagged-background",
"text": "Untagged pill background"
},
"$:/language/Docs/PaletteColours/very-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/very-muted-foreground",
"text": "Very muted foreground"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Type the text for this tiddler"
},
"$:/language/EditTemplate/Body/Preview/Type/Output": {
"title": "$:/language/EditTemplate/Body/Preview/Type/Output",
"text": "output"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "remove field"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Remove field"
},
"$:/language/EditTemplate/Field/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Field/Dropdown/Caption",
"text": "field list"
},
"$:/language/EditTemplate/Field/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Field/Dropdown/Hint",
"text": "Show field list"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Fields/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Fields/Add/Button/Hint",
"text": "Add the new field to the tiddler"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "field name"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Add a new field:"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "field value"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "System fields"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "User fields"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Tags/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Tags/Add/Button/Hint",
"text": "add tag"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "tag name"
},
"$:/language/EditTemplate/Tags/ClearInput/Caption": {
"title": "$:/language/EditTemplate/Tags/ClearInput/Caption",
"text": "clear input"
},
"$:/language/EditTemplate/Tags/ClearInput/Hint": {
"title": "$:/language/EditTemplate/Tags/ClearInput/Hint",
"text": "Clear tag input"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "tag list"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Show tag list"
},
"$:/language/EditTemplate/Title/BadCharacterWarning": {
"title": "$:/language/EditTemplate/Title/BadCharacterWarning",
"text": "Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"
},
"$:/language/EditTemplate/Title/Exists/Prompt": {
"title": "$:/language/EditTemplate/Title/Exists/Prompt",
"text": "Target tiddler already exists"
},
"$:/language/EditTemplate/Title/Relink/Prompt": {
"title": "$:/language/EditTemplate/Title/Relink/Prompt",
"text": "Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"
},
"$:/language/EditTemplate/Title/References/Prompt": {
"title": "$:/language/EditTemplate/Title/References/Prompt",
"text": "The following references to this tiddler will not be automatically updated:"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "content type list"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Show content type list"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "delete content type"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Delete content type"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "content type"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Type:"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Static HTML"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "JSON file"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "CSV file"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "\".tid\" file"
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "The full URI of an external image tiddler"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "The name of the bag from which a tiddler came"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "The text to be displayed on a tab or button"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "The CSS color value associated with a tiddler"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "The date a tiddler was created"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "The name of the person who created a tiddler"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "For a plugin, lists the dependent plugin titles"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "The descriptive text for a plugin, or a modal dialogue"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "For draft tiddlers, contains the proposed new title of the tiddler"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "The footer text for a wizard"
},
"$:/language/Docs/Fields/hide-body": {
"title": "$:/language/Docs/Fields/hide-body",
"text": "The view template will hide bodies of tiddlers if set to: ''yes''"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "The title of the tiddler containing the icon associated with a tiddler"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "Indicates that a tiddler should be saved as a JavaScript library if set to: ''yes''"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "An ordered list of tiddler titles associated with a tiddler"
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles, or at the end of the list if this field is present but empty"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "The date and time at which a tiddler was last modified"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "The tiddler title associated with the person who last modified a tiddler"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "The human readable name associated with a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "A numerical value indicating the priority of a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "The type of plugin in a plugin tiddler"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "The revision of the tiddler held at the server"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Date of a TiddlyWiki release"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "The source URL associated with a tiddler"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "The subtitle text for a wizard"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "A list of tags associated with a tiddler"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "The body text of a tiddler"
},
"$:/language/Docs/Fields/throttle.refresh": {
"title": "$:/language/Docs/Fields/throttle.refresh",
"text": "If present, throttles refreshes of this tiddler"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "The unique name of a tiddler"
},
"$:/language/Docs/Fields/toc-link": {
"title": "$:/language/Docs/Fields/toc-link",
"text": "Suppresses the tiddler's link in a Table of Contents tree if set to: ''no''"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "The content type of a tiddler"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Version information for a plugin"
},
"$:/language/Docs/Fields/_is_skinny": {
"title": "$:/language/Docs/Fields/_is_skinny",
"text": "If present, indicates that the tiddler text field must be loaded from the server"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "All tiddlers except system tiddlers"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Recently modified tiddlers, including system tiddlers"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Recently modified tiddlers"
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "All tags except system tags"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Missing tiddlers"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Draft tiddlers"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Orphan tiddlers"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "System tiddlers"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Shadow tiddlers"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Overridden shadow tiddlers"
},
"$:/language/Filters/SessionTiddlers": {
"title": "$:/language/Filters/SessionTiddlers",
"text": "Tiddlers modified since the wiki was loaded"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "System tags"
},
"$:/language/Filters/StoryList": {
"title": "$:/language/Filters/StoryList",
"text": "Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Non wiki-text tiddlers"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is vital to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
},
"$:/language/Help/build": {
"title": "$:/language/Help/build",
"description": "Automatically run configured commands",
"text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
},
"$:/language/Help/clearpassword": {
"title": "$:/language/Help/clearpassword",
"description": "Clear a password for subsequent crypto operations",
"text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
},
"$:/language/Help/default": {
"title": "$:/language/Help/default",
"text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
},
"$:/language/Help/deletetiddlers": {
"title": "$:/language/Help/deletetiddlers",
"description": "Deletes a group of tiddlers",
"text": "<<.from-version \"5.1.20\">> Deletes a group of tiddlers identified by a filter.\n\n```\n--deletetiddlers <filter>\n```\n"
},
"$:/language/Help/editions": {
"title": "$:/language/Help/editions",
"description": "Lists the available editions of TiddlyWiki",
"text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
},
"$:/language/Help/fetch": {
"title": "$:/language/Help/fetch",
"description": "Fetch tiddlers from wiki by URL",
"text": "Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"
},
"$:/language/Help/help": {
"title": "$:/language/Help/help",
"description": "Display help for TiddlyWiki commands",
"text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
},
"$:/language/Help/import": {
"title": "$:/language/Help/import",
"description": "Import tiddlers from a file",
"text": "Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"
},
"$:/language/Help/init": {
"title": "$:/language/Help/init",
"description": "Initialise a new wiki folder",
"text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
},
"$:/language/Help/listen": {
"title": "$:/language/Help/listen",
"description": "Provides an HTTP server interface to TiddlyWiki",
"text": "Serves a wiki over HTTP.\n\nThe listen command uses NamedCommandParameters:\n\n```\n--listen [<name>=<value>]...\n```\n\nAll parameters are optional with safe defaults, and can be specified in any order. The recognised parameters are:\n\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''credentials'' - pathname of credentials CSV file (relative to wiki folder)\n* ''anon-username'' - the username for signing edits for anonymous users\n* ''username'' - optional username for basic authentication\n* ''password'' - optional password for basic authentication\n* ''authenticated-user-header'' - optional name of header to be used for trusted authentication\n* ''readers'' - comma separated list of principals allowed to read from this wiki\n* ''writers'' - comma separated list of principals allowed to write to this wiki\n* ''csrf-disable'' - set to \"yes\" to disable CSRF checks (defaults to \"no\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''tls-cert'' - pathname of TLS certificate file (relative to wiki folder)\n* ''tls-key'' - pathname of TLS key file (relative to wiki folder)\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n* ''gzip'' - set to \"yes\" to enable gzip compression for some http endpoints (defaults to \"no\")\n\nFor information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\n"
},
"$:/language/Help/load": {
"title": "$:/language/Help/load",
"description": "Load tiddlers from a file",
"text": "Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nBy default, the load command raises an error if no tiddlers are found. The error can be suppressed by providing the optional \"noerror\" parameter.\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
},
"$:/language/Help/makelibrary": {
"title": "$:/language/Help/makelibrary",
"description": "Construct library plugin required by upgrade process",
"text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
},
"$:/language/Help/notfound": {
"title": "$:/language/Help/notfound",
"text": "No such help item"
},
"$:/language/Help/output": {
"title": "$:/language/Help/output",
"description": "Set the base output directory for subsequent commands",
"text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
},
"$:/language/Help/password": {
"title": "$:/language/Help/password",
"description": "Set a password for subsequent crypto operations",
"text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
},
"$:/language/Help/render": {
"title": "$:/language/Help/render",
"description": "Renders individual tiddlers to files",
"text": "Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [<name>] [<value>]\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''template'': Optional template through which each tiddler is rendered\n* ''name'': Name of optional variable\n* ''value'': Value of optional variable\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render \"[!is[system]]\" \"[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]\"` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n\n"
},
"$:/language/Help/rendertiddler": {
"title": "$:/language/Help/rendertiddler",
"description": "Render an individual tiddler as a specified ContentType",
"text": "(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"
},
"$:/language/Help/rendertiddlers": {
"title": "$:/language/Help/rendertiddlers",
"description": "Render tiddlers matching a filter to a specified ContentType",
"text": "(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers '<filter>' <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers '[!is[system]]' $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
},
"$:/language/Help/save": {
"title": "$:/language/Help/save",
"description": "Saves individual raw tiddlers to files",
"text": "Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"
},
"$:/language/Help/savetiddler": {
"title": "$:/language/Help/savetiddler",
"description": "Saves a raw tiddler to a file",
"text": "(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
},
"$:/language/Help/savetiddlers": {
"title": "$:/language/Help/savetiddlers",
"description": "Saves a group of raw tiddlers to a directory",
"text": "(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
},
"$:/language/Help/savewikifolder": {
"title": "$:/language/Help/savewikifolder",
"description": "Saves a wiki to a new wiki folder",
"text": "<<.from-version \"5.1.20\">> Saves the current wiki as a wiki folder, including tiddlers, plugins and configuration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>]\n```\n\n* The target wiki folder must be empty or non-existent\n* The filter specifies which tiddlers should be included. It is optional, defaulting to `[all[tiddlers]]`\n* Plugins from the official plugin library are replaced with references to those plugins in the `tiddlywiki.info` file\n* Custom plugins are unpacked into their own folder\n\nA common usage is to convert a TiddlyWiki HTML file into a wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n"
},
"$:/language/Help/server": {
"title": "$:/language/Help/server",
"description": "Provides an HTTP server interface to TiddlyWiki (deprecated in favour of the new listen command)",
"text": "Legacy command to serve a wiki over HTTP.\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nThe parameters are:\n\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation should only be used on a trusted network or over HTTPS.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password.\n\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nUsing an address like this exposes your system to the local network. For information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port. It can be useful to use an environment variable to pass the port number to the Node.js process. This example references an environment variable called \"MY_PORT_NUMBER\":\n\n```\n--server MY_PORT_NUMBER $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n"
},
"$:/language/Help/setfield": {
"title": "$:/language/Help/setfield",
"description": "Prepares external tiddlers for use",
"text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
},
"$:/language/Help/unpackplugin": {
"title": "$:/language/Help/unpackplugin",
"description": "Unpack the payload tiddlers from a plugin",
"text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
},
"$:/language/Help/verbose": {
"title": "$:/language/Help/verbose",
"description": "Triggers verbose output mode",
"text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
},
"$:/language/Help/version": {
"title": "$:/language/Help/version",
"description": "Displays the version number of TiddlyWiki",
"text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
},
"$:/language/Import/Imported/Hint": {
"title": "$:/language/Import/Imported/Hint",
"text": "The following tiddlers were imported:"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Cancel"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "These tiddlers are ready to import:"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Import"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Select"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Status"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Title"
},
"$:/language/Import/Listing/Preview": {
"title": "$:/language/Import/Listing/Preview",
"text": "Preview:"
},
"$:/language/Import/Listing/Preview/Text": {
"title": "$:/language/Import/Listing/Preview/Text",
"text": "Text"
},
"$:/language/Import/Listing/Preview/TextRaw": {
"title": "$:/language/Import/Listing/Preview/TextRaw",
"text": "Text (Raw)"
},
"$:/language/Import/Listing/Preview/Fields": {
"title": "$:/language/Import/Listing/Preview/Fields",
"text": "Fields"
},
"$:/language/Import/Listing/Preview/Diff": {
"title": "$:/language/Import/Listing/Preview/Diff",
"text": "Diff"
},
"$:/language/Import/Listing/Preview/DiffFields": {
"title": "$:/language/Import/Listing/Preview/DiffFields",
"text": "Diff (Fields)"
},
"$:/language/Import/Listing/Rename/Tooltip": {
"title": "$:/language/Import/Listing/Rename/Tooltip",
"text": "Rename tiddler before importing"
},
"$:/language/Import/Listing/Rename/Prompt": {
"title": "$:/language/Import/Listing/Rename/Prompt",
"text": "Rename to:"
},
"$:/language/Import/Listing/Rename/ConfirmRename": {
"title": "$:/language/Import/Listing/Rename/ConfirmRename",
"text": "Rename tiddler"
},
"$:/language/Import/Listing/Rename/CancelRename": {
"title": "$:/language/Import/Listing/Rename/CancelRename",
"text": "Cancel"
},
"$:/language/Import/Listing/Rename/OverwriteWarning": {
"title": "$:/language/Import/Listing/Rename/OverwriteWarning",
"text": "A tiddler with this title already exists."
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Blocked incompatible or obsolete plugin."
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Blocked plugin (due to incoming <<incoming>> not being newer than existing <<existing>>)."
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Upgraded plugin from <<incoming>> to <<upgraded>>."
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Blocked temporary state tiddler."
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Blocked system tiddler."
},
"$:/language/Import/Upgrader/System/Warning": {
"title": "$:/language/Import/Upgrader/System/Warning",
"text": "Core module tiddler."
},
"$:/language/Import/Upgrader/System/Alert": {
"title": "$:/language/Import/Upgrader/System/Alert",
"text": "You are about to import a tiddler that will overwrite a core module tiddler. This is not recommended as it may make the system unstable."
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Migrated theme tweak from <$text text=<<from>>/>."
},
"$:/language/AboveStory/ClassicPlugin/Warning": {
"title": "$:/language/AboveStory/ClassicPlugin/Warning",
"text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "This tiddler contains binary data"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "upgrade"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "close all"
},
"$:/language/ColourPicker/Recent": {
"title": "$:/language/ColourPicker/Recent",
"text": "Recent:"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmAction": {
"title": "$:/language/ConfirmAction",
"text": "Do you wish to proceed?"
},
"$:/language/Count": {
"title": "$:/language/Count",
"text": "count"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "New Tiddler"
},
"$:/language/Diffs/CountMessage": {
"title": "$:/language/Diffs/CountMessage",
"text": "<<diff-count>> differences"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Drop here (or use the 'Escape' key to cancel)"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Cancel"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Set a new password for this TiddlyWiki"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Username"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Password"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Repeat password"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Passwords do not match"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Set password"
},
"$:/language/Error/Caption": {
"title": "$:/language/Error/Caption",
"text": "Error"
},
"$:/language/Error/EditConflict": {
"title": "$:/language/Error/EditConflict",
"text": "File changed on server"
},
"$:/language/Error/Filter": {
"title": "$:/language/Error/Filter",
"text": "Filter error"
},
"$:/language/Error/FilterSyntax": {
"title": "$:/language/Error/FilterSyntax",
"text": "Syntax error in filter expression"
},
"$:/language/Error/FilterRunPrefix": {
"title": "$:/language/Error/FilterRunPrefix",
"text": "Filter Error: Unknown prefix for filter run"
},
"$:/language/Error/IsFilterOperator": {
"title": "$:/language/Error/IsFilterOperator",
"text": "Filter Error: Unknown operand for the 'is' filter operator"
},
"$:/language/Error/FormatFilterOperator": {
"title": "$:/language/Error/FormatFilterOperator",
"text": "Filter Error: Unknown suffix for the 'format' filter operator"
},
"$:/language/Error/LoadingPluginLibrary": {
"title": "$:/language/Error/LoadingPluginLibrary",
"text": "Error loading plugin library"
},
"$:/language/Error/NetworkErrorAlert": {
"title": "$:/language/Error/NetworkErrorAlert",
"text": "`<h2>''Network Error''</h2>It looks like the connection to the server has been lost. This may indicate a problem with your network connection. Please attempt to restore network connectivity before continuing.<br><br>''Any unsaved changes will be automatically synchronised when connectivity is restored''.`"
},
"$:/language/Error/RecursiveTransclusion": {
"title": "$:/language/Error/RecursiveTransclusion",
"text": "Recursive transclusion error in transclude widget"
},
"$:/language/Error/RetrievingSkinny": {
"title": "$:/language/Error/RetrievingSkinny",
"text": "Error retrieving skinny tiddler list"
},
"$:/language/Error/SavingToTWEdit": {
"title": "$:/language/Error/SavingToTWEdit",
"text": "Error saving to TWEdit"
},
"$:/language/Error/WhileSaving": {
"title": "$:/language/Error/WhileSaving",
"text": "Error while saving"
},
"$:/language/Error/XMLHttpRequest": {
"title": "$:/language/Error/XMLHttpRequest",
"text": "XMLHttpRequest error code"
},
"$:/language/InternalJavaScriptError/Title": {
"title": "$:/language/InternalJavaScriptError/Title",
"text": "Internal JavaScript Error"
},
"$:/language/InternalJavaScriptError/Hint": {
"title": "$:/language/InternalJavaScriptError/Hint",
"text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
},
"$:/language/LayoutSwitcher/Description": {
"title": "$:/language/LayoutSwitcher/Description",
"text": "Open the layout switcher"
},
"$:/language/LazyLoadingWarning": {
"title": "$:/language/LazyLoadingWarning",
"text": "<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"
},
"$:/language/LoginToTiddlySpace": {
"title": "$:/language/LoginToTiddlySpace",
"text": "Login to TiddlySpace"
},
"$:/language/Manager/Controls/FilterByTag/None": {
"title": "$:/language/Manager/Controls/FilterByTag/None",
"text": "(none)"
},
"$:/language/Manager/Controls/FilterByTag/Prompt": {
"title": "$:/language/Manager/Controls/FilterByTag/Prompt",
"text": "Filter by tag:"
},
"$:/language/Manager/Controls/Order/Prompt": {
"title": "$:/language/Manager/Controls/Order/Prompt",
"text": "Reverse order"
},
"$:/language/Manager/Controls/Search/Placeholder": {
"title": "$:/language/Manager/Controls/Search/Placeholder",
"text": "Search"
},
"$:/language/Manager/Controls/Search/Prompt": {
"title": "$:/language/Manager/Controls/Search/Prompt",
"text": "Search:"
},
"$:/language/Manager/Controls/Show/Option/Tags": {
"title": "$:/language/Manager/Controls/Show/Option/Tags",
"text": "tags"
},
"$:/language/Manager/Controls/Show/Option/Tiddlers": {
"title": "$:/language/Manager/Controls/Show/Option/Tiddlers",
"text": "tiddlers"
},
"$:/language/Manager/Controls/Show/Prompt": {
"title": "$:/language/Manager/Controls/Show/Prompt",
"text": "Show:"
},
"$:/language/Manager/Controls/Sort/Prompt": {
"title": "$:/language/Manager/Controls/Sort/Prompt",
"text": "Sort by:"
},
"$:/language/Manager/Item/Colour": {
"title": "$:/language/Manager/Item/Colour",
"text": "Colour"
},
"$:/language/Manager/Item/Fields": {
"title": "$:/language/Manager/Item/Fields",
"text": "Fields"
},
"$:/language/Manager/Item/Icon/None": {
"title": "$:/language/Manager/Item/Icon/None",
"text": "(none)"
},
"$:/language/Manager/Item/Icon": {
"title": "$:/language/Manager/Item/Icon",
"text": "Icon"
},
"$:/language/Manager/Item/RawText": {
"title": "$:/language/Manager/Item/RawText",
"text": "Raw text"
},
"$:/language/Manager/Item/Tags": {
"title": "$:/language/Manager/Item/Tags",
"text": "Tags"
},
"$:/language/Manager/Item/Tools": {
"title": "$:/language/Manager/Item/Tools",
"text": "Tools"
},
"$:/language/Manager/Item/WikifiedText": {
"title": "$:/language/Manager/Item/WikifiedText",
"text": "Wikified text"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"
},
"$:/language/No": {
"title": "$:/language/No",
"text": "No"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Official ~TiddlyWiki Plugin Library"
},
"$:/language/OfficialPluginLibrary/Hint": {
"title": "$:/language/OfficialPluginLibrary/Hint",
"text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
},
"$:/language/PageTemplate/Description": {
"title": "$:/language/PageTemplate/Description",
"text": "the default ~TiddlyWiki layout"
},
"$:/language/PageTemplate/Name": {
"title": "$:/language/PageTemplate/Name",
"text": "Default ~PageTemplate"
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to ~JavaScript plugins to take effect"
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DDth MMM YYYY"
},
"$:/language/Shortcuts/Input/AdvancedSearch/Hint": {
"title": "$:/language/Shortcuts/Input/AdvancedSearch/Hint",
"text": "Open the ~AdvancedSearch panel from within the sidebar search field"
},
"$:/language/Shortcuts/Input/Accept/Hint": {
"title": "$:/language/Shortcuts/Input/Accept/Hint",
"text": "Accept the selected item"
},
"$:/language/Shortcuts/Input/AcceptVariant/Hint": {
"title": "$:/language/Shortcuts/Input/AcceptVariant/Hint",
"text": "Accept the selected item (variant)"
},
"$:/language/Shortcuts/Input/Cancel/Hint": {
"title": "$:/language/Shortcuts/Input/Cancel/Hint",
"text": "Clear the input field"
},
"$:/language/Shortcuts/Input/Down/Hint": {
"title": "$:/language/Shortcuts/Input/Down/Hint",
"text": "Select the next item"
},
"$:/language/Shortcuts/Input/Tab-Left/Hint": {
"title": "$:/language/Shortcuts/Input/Tab-Left/Hint",
"text": "Select the previous Tab"
},
"$:/language/Shortcuts/Input/Tab-Right/Hint": {
"title": "$:/language/Shortcuts/Input/Tab-Right/Hint",
"text": "Select the next Tab"
},
"$:/language/Shortcuts/Input/Up/Hint": {
"title": "$:/language/Shortcuts/Input/Up/Hint",
"text": "Select the previous item"
},
"$:/language/Shortcuts/SidebarLayout/Hint": {
"title": "$:/language/Shortcuts/SidebarLayout/Hint",
"text": "Change the sidebar layout"
},
"$:/language/Switcher/Subtitle/theme": {
"title": "$:/language/Switcher/Subtitle/theme",
"text": "Switch Theme"
},
"$:/language/Switcher/Subtitle/layout": {
"title": "$:/language/Switcher/Subtitle/layout",
"text": "Switch Layout"
},
"$:/language/Switcher/Subtitle/language": {
"title": "$:/language/Switcher/Subtitle/language",
"text": "Switch Language"
},
"$:/language/Switcher/Subtitle/palette": {
"title": "$:/language/Switcher/Subtitle/palette",
"text": "Switch Palette"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "This is a system tiddler"
},
"$:/language/SystemTiddlers/Include/Prompt": {
"title": "$:/language/SystemTiddlers/Include/Prompt",
"text": "Include system tiddlers"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Colour"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Count"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Icon"
},
"$:/language/TagManager/Icons/None": {
"title": "$:/language/TagManager/Icons/None",
"text": "None"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Info"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Tag"
},
"$:/language/Tiddler/DateFormat": {
"title": "$:/language/Tiddler/DateFormat",
"text": "DDth MMM YYYY at hh12:0mmam"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "You have unsaved changes in TiddlyWiki"
},
"$:/language/Yes": {
"title": "$:/language/Yes",
"text": "Yes"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"subtitle": "Download changes",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"subtitle": "Save your work",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/SavingChanges.html",
"text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DDth MMM YYYY"
},
"$:/config/NewJournal/Text": {
"title": "$:/config/NewJournal/Text",
"text": ""
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"text": "Journal\n"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Saved wiki"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Starting to save wiki"
},
"$:/language/Notifications/CopiedToClipboard/Succeeded": {
"title": "$:/language/Notifications/CopiedToClipboard/Succeeded",
"text": "Copied to clipboard!"
},
"$:/language/Notifications/CopiedToClipboard/Failed": {
"title": "$:/language/Notifications/CopiedToClipboard/Failed",
"text": "Failed to copy to clipboard!"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "List"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Filter"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches/All": {
"title": "$:/language/Search/Matches/All",
"text": "All matches:"
},
"$:/language/Search/Matches/Title": {
"title": "$:/language/Search/Matches/Title",
"text": "Title matches:"
},
"$:/language/Search/Search": {
"title": "$:/language/Search/Search",
"text": "Search"
},
"$:/language/Search/Search/TooShort": {
"title": "$:/language/Search/Search/TooShort",
"text": "Search text too short"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Shadows"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Search for shadow tiddlers"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Standard"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Search for standard tiddlers"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "System"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Search for system tiddlers"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "All"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Contents"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Drafts"
},
"$:/language/SideBar/Explorer/Caption": {
"title": "$:/language/SideBar/Explorer/Caption",
"text": "Explorer"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Missing"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "More"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Open"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Orphans"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Recent"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Shadows"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "System"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Tags"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "untagged"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Tools"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Types"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "a non-linear personal web notebook"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "My ~TiddlyWiki"
},
"$:/language/Snippets/ListByTag": {
"title": "$:/language/Snippets/ListByTag",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "List of tiddlers by tag",
"text": "<<list-links \"[tag[task]sort[title]]\">>\n"
},
"$:/language/Snippets/MacroDefinition": {
"title": "$:/language/Snippets/MacroDefinition",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Macro definition",
"text": "\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"
},
"$:/language/Snippets/Table4x3": {
"title": "$:/language/Snippets/Table4x3",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table with 4 columns by 3 rows",
"text": "|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"
},
"$:/language/Snippets/TableOfContents": {
"title": "$:/language/Snippets/TableOfContents",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table of Contents",
"text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
},
"$:/language/ThemeTweaks/ThemeTweaks": {
"title": "$:/language/ThemeTweaks/ThemeTweaks",
"text": "Theme Tweaks"
},
"$:/language/ThemeTweaks/ThemeTweaks/Hint": {
"title": "$:/language/ThemeTweaks/ThemeTweaks/Hint",
"text": "You can tweak certain aspects of the ''Vanilla'' theme."
},
"$:/language/ThemeTweaks/Options": {
"title": "$:/language/ThemeTweaks/Options",
"text": "Options"
},
"$:/language/ThemeTweaks/Options/SidebarLayout": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout",
"text": "Sidebar layout"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid",
"text": "Fixed story, fluid sidebar"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed",
"text": "Fluid story, fixed sidebar"
},
"$:/language/ThemeTweaks/Options/StickyTitles": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles",
"text": "Sticky titles"
},
"$:/language/ThemeTweaks/Options/StickyTitles/Hint": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles/Hint",
"text": "Causes tiddler titles to \"stick\" to the top of the browser window"
},
"$:/language/ThemeTweaks/Options/CodeWrapping": {
"title": "$:/language/ThemeTweaks/Options/CodeWrapping",
"text": "Wrap long lines in code blocks"
},
"$:/language/ThemeTweaks/Settings": {
"title": "$:/language/ThemeTweaks/Settings",
"text": "Settings"
},
"$:/language/ThemeTweaks/Settings/FontFamily": {
"title": "$:/language/ThemeTweaks/Settings/FontFamily",
"text": "Font family"
},
"$:/language/ThemeTweaks/Settings/CodeFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/CodeFontFamily",
"text": "Code font family"
},
"$:/language/ThemeTweaks/Settings/EditorFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/EditorFontFamily",
"text": "Editor font family"
},
"$:/language/ThemeTweaks/Settings/BackgroundImage": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImage",
"text": "Page background image"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment",
"text": "Page background image attachment"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll",
"text": "Scroll with tiddlers"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed",
"text": "Fixed to window"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize",
"text": "Page background image size"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto",
"text": "Auto"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover",
"text": "Cover"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain",
"text": "Contain"
},
"$:/language/ThemeTweaks/Metrics": {
"title": "$:/language/ThemeTweaks/Metrics",
"text": "Sizes"
},
"$:/language/ThemeTweaks/Metrics/FontSize": {
"title": "$:/language/ThemeTweaks/Metrics/FontSize",
"text": "Font size"
},
"$:/language/ThemeTweaks/Metrics/LineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/LineHeight",
"text": "Line height"
},
"$:/language/ThemeTweaks/Metrics/BodyFontSize": {
"title": "$:/language/ThemeTweaks/Metrics/BodyFontSize",
"text": "Font size for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/BodyLineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/BodyLineHeight",
"text": "Line height for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft",
"text": "Story left position"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint",
"text": "how far the left margin of the story river<br>(tiddler area) is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryTop": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop",
"text": "Story top position"
},
"$:/language/ThemeTweaks/Metrics/StoryTop/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop/Hint",
"text": "how far the top margin of the story river<br>is from the top of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryRight": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight",
"text": "Story right"
},
"$:/language/ThemeTweaks/Metrics/StoryRight/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight/Hint",
"text": "how far the left margin of the sidebar <br>is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth",
"text": "Story width"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint",
"text": "the overall width of the story river"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth",
"text": "Tiddler width"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint",
"text": "within the story river"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint",
"text": "Sidebar breakpoint"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint",
"text": "the minimum page width at which the story<br>river and sidebar will appear side by side"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth",
"text": "Sidebar width"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint",
"text": "the width of the sidebar in fluid-fixed layout"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Advanced"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "none"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Plugin Details"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "This plugin contains the following shadow tiddlers:"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Shadow Status"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "It is overridden by an ordinary tiddler"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Fields"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "List"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "This tiddler does not have a list"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "Listed"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "This tiddler is not listed by any others"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "Backlinks"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "No tiddlers link to this one"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Tagging"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "No tiddlers are tagged with this one"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Tools"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "JavaScript code",
"name": "application/javascript",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "JSON data",
"name": "application/json",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Data dictionary",
"name": "application/x-tiddler-dictionary",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "GIF image",
"name": "image/gif",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "JPEG image",
"name": "image/jpeg",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "PNG image",
"name": "image/png",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "Structured Vector Graphics image",
"name": "image/svg+xml",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "ICO format icon file",
"name": "image/x-icon",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Static stylesheet",
"name": "text/css",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "HTML markup",
"name": "text/html",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Plain text",
"name": "text/plain",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/languages/en-GB/icon": {
"title": "$:/languages/en-GB/icon",
"type": "image/svg+xml",
"text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
},
"$:/languages/en-GB": {
"title": "$:/languages/en-GB",
"name": "en-GB",
"description": "English (British)",
"author": "JeremyRuston",
"core-version": ">=5.0.0\"",
"text": "Stub pseudo-plugin for the default language"
},
"$:/core/modules/commander.js": {
"title": "$:/core/modules/commander.js",
"text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\t// Parse named parameters if required\n\t\t\t\tif(command.info.namedParameterMode) {\n\t\t\t\t\tparams = this.extractNamedParameters(params,command.info.mandatoryParameters);\n\t\t\t\t\tif(typeof params === \"string\") {\n\t\t\t\t\t\treturn this.callback(params);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nGiven an array of parameter strings `params` in name:value format, and an array of mandatory parameter names in `mandatoryParameters`, returns a hashmap of values or a string if error\n*/\nCommander.prototype.extractNamedParameters = function(params,mandatoryParameters) {\n\tmandatoryParameters = mandatoryParameters || [];\n\tvar errors = [],\n\t\tparamsByName = Object.create(null);\n\t// Extract the parameters\n\t$tw.utils.each(params,function(param) {\n\t\tvar index = param.indexOf(\"=\");\n\t\tif(index < 1) {\n\t\t\terrors.push(\"malformed named parameter: '\" + param + \"'\");\n\t\t}\n\t\tparamsByName[param.slice(0,index)] = $tw.utils.trim(param.slice(index+1));\n\t});\n\t// Check the mandatory parameters are present\n\t$tw.utils.each(mandatoryParameters,function(mandatoryParameter) {\n\t\tif(!$tw.utils.hop(paramsByName,mandatoryParameter)) {\n\t\t\terrors.push(\"missing mandatory parameter: '\" + mandatoryParameter + \"'\");\n\t\t}\n\t});\n\t// Return any errors\n\tif(errors.length > 0) {\n\t\treturn errors.join(\" and\\n\");\n\t} else {\n\t\treturn paramsByName;\t\t\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/commands/build.js": {
"title": "$:/core/modules/commands/build.js",
"text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/clearpassword.js": {
"title": "$:/core/modules/commands/clearpassword.js",
"text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/deletetiddlers.js": {
"title": "$:/core/modules/commands/deletetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/deletetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to delete tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"deletetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filter\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\twiki.deleteTiddler(title);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/editions.js": {
"title": "$:/core/modules/commands/editions.js",
"text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\" \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/fetch.js": {
"title": "$:/core/modules/commands/fetch.js",
"text": "/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = this.commander.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t \tdata = [];\n\t self.commander.write(\"Reading \" + url + \": \");\n\t response.on(\"data\",function(chunk) {\n\t data.push(chunk);\n\t self.commander.write(\".\");\n\t });\n\t response.on(\"end\",function() {\n\t self.commander.write(\"\\n\");\n\t if(response.statusCode === 200) {\n\t\t self.processBody(Buffer.concat(data),type,options,url);\n\t\t callback(null);\n\t } else {\n\t \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t \t} else {\n\t\t \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\t \t\t\n\t \t}\n\t }\n\t \t});\n\t \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/help.js": {
"title": "$:/core/modules/commands/help.js",
"text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/import.js": {
"title": "$:/core/modules/commands/import.js",
"text": "/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/init.js": {
"title": "$:/core/modules/commands/init.js",
"text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/listen.js": {
"title": "$:/core/modules/commands/listen.js",
"text": "/*\\\ntitle: $:/core/modules/commands/listen.js\ntype: application/javascript\nmodule-type: command\n\nListen for HTTP requests and serve tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"listen\",\n\tsynchronous: true,\n\tnamedParameterMode: true,\n\tmandatoryParameters: [],\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: self.params\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/load.js": {
"title": "$:/core/modules/commands/load.js",
"text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count && self.params[1] !== \"noerror\") {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/makelibrary.js": {
"title": "$:/core/modules/commands/makelibrary.js",
"text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = $tw.utils.getSubdirectories(folder) || [];\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = $tw.utils.getSubdirectories(folder) || [];\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.pluginsPath,$tw.config.pluginsEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.themesPath,$tw.config.themesEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.languagesPath,$tw.config.languagesEnvVar),collectPlugins);\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers})\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/output.js": {
"title": "$:/core/modules/commands/output.js",
"text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/password.js": {
"title": "$:/core/modules/commands/password.js",
"text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/render.js": {
"title": "$:/core/modules/commands/render.js",
"text": "/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"render\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing tiddler filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvarName = this.params[4],\n\t\tvarValue = this.params[5],\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\tvariables = {currentTiddler: title};\n\t\tif(varName) {\n\t\t\tvariables[varName] = varValue || \"\";\n\t\t}\n\t\tvar widgetNode = wiki.makeWidget(parser,{variables: variables}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddler.js": {
"title": "$:/core/modules/commands/rendertiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddlers.js": {
"title": "$:/core/modules/commands/rendertiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/save.js": {
"title": "$:/core/modules/commands/save.js",
"text": "/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"save\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savelibrarytiddlers.js": {
"title": "$:/core/modules/commands/savelibrarytiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <tiddler-filter> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe tiddler filter specifies the plugins to be included.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\tdoesRequireReload = !!self.commander.wiki.doesPluginInfoRequireReload(pluginTiddlers),\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{\n\t\t\ttext: undefined,\n\t\t\treadme: readmeContent,\n\t\t\t\"requires-reload\": doesRequireReload ? \"yes\" : \"no\",\n\t\t\ticon: iconContent\n\t\t}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddler.js": {
"title": "$:/core/modules/commands/savetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddlers.js": {
"title": "$:/core/modules/commands/savetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savewikifolder.js": {
"title": "$:/core/modules/commands/savewikifolder.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savewikifolder.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the current wiki as a wiki folder\n\n--savewikifolder <wikifolderpath> [<filter>]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savewikifolder\",\n\tsynchronous: true\n};\n\nvar fs,path;\nif($tw.node) {\n\tfs = require(\"fs\");\n\tpath = require(\"path\");\n}\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing wiki folder path\";\n\t}\n\tvar wikifoldermaker = new WikiFolderMaker(this.params[0],this.params[1],this.commander);\n\treturn wikifoldermaker.save();\n};\n\nfunction WikiFolderMaker(wikiFolderPath,wikiFilter,commander) {\n\tthis.wikiFolderPath = wikiFolderPath;\n\tthis.wikiFilter = wikiFilter || \"[all[tiddlers]]\";\n\tthis.commander = commander;\n\tthis.wiki = commander.wiki;\n\tthis.savedPaths = []; // So that we can detect filename clashes\n}\n\nWikiFolderMaker.prototype.log = function(str) {\n\tif(this.commander.verbose) {\n\t\tconsole.log(str);\n\t}\n};\n\nWikiFolderMaker.prototype.tiddlersToIgnore = [\n\t\"$:/boot/boot.css\",\n\t\"$:/boot/boot.js\",\n\t\"$:/boot/bootprefix.js\",\n\t\"$:/core\",\n\t\"$:/library/sjcl.js\",\n\t\"$:/temp/info-plugin\"\n];\n\n/*\nReturns null if successful, or an error string if there was an error\n*/\nWikiFolderMaker.prototype.save = function() {\n\tvar self = this;\n\t// Check that the output directory doesn't exist\n\tif(fs.existsSync(this.wikiFolderPath) && !$tw.utils.isDirectoryEmpty(this.wikiFolderPath)) {\n\t\treturn \"The unpackwiki command requires that the output wiki folder be empty\";\n\t}\n\t// Get the tiddlers from the source wiki\n\tvar tiddlerTitles = this.wiki.filterTiddlers(this.wikiFilter);\n\t// Initialise a new tiddlwiki.info file\n\tvar newWikiInfo = {};\n\t// Process each incoming tiddler in turn\n\t$tw.utils.each(tiddlerTitles,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tif(self.tiddlersToIgnore.indexOf(title) !== -1) {\n\t\t\t\t// Ignore the core plugin and the ephemeral info plugin\n\t\t\t\tself.log(\"Ignoring tiddler: \" + title);\n\t\t\t} else {\n\t\t\t\tvar type = tiddler.fields.type,\n\t\t\t\t\tpluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif(type === \"application/json\" && pluginType) {\n\t\t\t\t\t// Plugin tiddler\n\t\t\t\t\tvar libraryDetails = self.findPluginInLibrary(title);\n\t\t\t\t\tif(libraryDetails) {\n\t\t\t\t\t\t// A plugin from the core library\n\t\t\t\t\t\tself.log(\"Adding built-in plugin: \" + libraryDetails.name);\n\t\t\t\t\t\tnewWikiInfo[libraryDetails.type] = newWikiInfo[libraryDetails.type] || [];\n\t\t\t\t\t\t$tw.utils.pushTop(newWikiInfo[libraryDetails.type],libraryDetails.name);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// A custom plugin\n\t\t\t\t\t\tself.log(\"Processing custom plugin: \" + title);\n\t\t\t\t\t\tself.saveCustomPlugin(tiddler);\n\t\t\t\t\t}\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\t// Ordinary tiddler\n\t\t\t\t\tself.saveTiddler(\"tiddlers\",tiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Save the tiddlywiki.info file\n\tthis.saveJSONFile(\"tiddlywiki.info\",newWikiInfo);\n\tself.log(\"Writing tiddlywiki.info: \" + JSON.stringify(newWikiInfo,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\n/*\nTest whether the specified tiddler is a plugin in the plugin library\n*/\nWikiFolderMaker.prototype.findPluginInLibrary = function(title) {\n\tvar parts = title.split(\"/\"),\n\t\tpluginPath, type, name;\n\tif(parts[0] === \"$:\") {\n\t\tif(parts[1] === \"languages\" && parts.length === 3) {\n\t\t\tpluginPath = \"languages\" + path.sep + parts[2];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2];\n\t\t} else if(parts[1] === \"plugins\" || parts[1] === \"themes\" && parts.length === 4) {\n\t\t\tpluginPath = parts[1] + path.sep + parts[2] + path.sep + parts[3];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2] + \"/\" + parts[3];\n\t\t}\n\t}\n\tif(pluginPath && type && name) {\n\t\tpluginPath = path.resolve($tw.boot.bootPath,\"..\",pluginPath);\n\t\tif(fs.existsSync(pluginPath)) {\n\t\t\treturn {\n\t\t\t\tpluginPath: pluginPath,\n\t\t\t\ttype: type,\n\t\t\t\tname: name\n\t\t\t};\n\t\t}\n\t}\n\treturn false;\n};\n\nWikiFolderMaker.prototype.saveCustomPlugin = function(pluginTiddler) {\n\tvar self = this,\n\t\tpluginTitle = pluginTiddler.fields.title,\n\t\ttitleParts = pluginTitle.split(\"/\"),\n\t\tdirectory = $tw.utils.generateTiddlerFilepath(titleParts[titleParts.length - 1],{\n\t\t\tdirectory: path.resolve(this.wikiFolderPath,pluginTiddler.fields[\"plugin-type\"] + \"s\")\n\t\t}),\n\t\tpluginInfo = pluginTiddler.getFieldStrings({exclude: [\"text\",\"type\"]});\n\tthis.saveJSONFile(directory + path.sep + \"plugin.info\",pluginInfo);\n\tself.log(\"Writing \" + directory + path.sep + \"plugin.info: \" + JSON.stringify(pluginInfo,null,$tw.config.preferences.jsonSpaces));\n\tvar pluginTiddlers = JSON.parse(pluginTiddler.fields.text).tiddlers; // A hashmap of tiddlers in the plugin\n\t$tw.utils.each(pluginTiddlers,function(tiddler) {\n\t\tself.saveTiddler(directory,new $tw.Tiddler(tiddler));\n\t});\n};\n\nWikiFolderMaker.prototype.saveTiddler = function(directory,tiddler) {\n\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\tdirectory: path.resolve(this.wikiFolderPath,directory),\n\t\twiki: this.wiki\n\t});\n\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n};\n\nWikiFolderMaker.prototype.saveJSONFile = function(filename,json) {\n\tthis.saveTextFile(filename,JSON.stringify(json,null,$tw.config.preferences.jsonSpaces));\n};\n\nWikiFolderMaker.prototype.saveTextFile = function(filename,data) {\n\tthis.saveFile(filename,\"utf8\",data);\n};\n\nWikiFolderMaker.prototype.saveFile = function(filename,encoding,data) {\n\tvar filepath = path.resolve(this.wikiFolderPath,filename);\n\t$tw.utils.createFileDirectories(filepath);\n\tfs.writeFileSync(filepath,data,encoding);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/server.js": {
"title": "$:/core/modules/commands/server.js",
"text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nDeprecated legacy command for serving tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: {\n\t\t\tport: this.params[0],\n\t\t\thost: this.params[6],\n\t\t\t\"root-tiddler\": this.params[1],\n\t\t\t\"root-render-type\": this.params[2],\n\t\t\t\"root-serve-type\": this.params[3],\n\t\t\tusername: this.params[4],\n\t\t\tpassword: this.params[5],\n\t\t\t\"path-prefix\": this.params[7],\n\t\t\t\"debug-level\": this.params[8]\n\t\t}\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/setfield.js": {
"title": "$:/core/modules/commands/setfield.js",
"text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/unpackplugin.js": {
"title": "$:/core/modules/commands/unpackplugin.js",
"text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/verbose.js": {
"title": "$:/core/modules/commands/verbose.js",
"text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n \" + $tw.boot.logMessages.join(\"\\n \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/version.js": {
"title": "$:/core/modules/commands/version.js",
"text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/config.js": {
"title": "$:/core/modules/config.js",
"text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter: \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
"type": "application/javascript",
"module-type": "config"
},
"$:/core/modules/deserializers.js": {
"title": "$:/core/modules/deserializers.js",
"text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming,\n\t\tresults = [];\n\ttry {\n\t\tincoming = JSON.parse(text);\n\t} catch(e) {\n\t\tincoming = [{\n\t\t\ttitle: \"JSON error: \" + e,\n\t\t\ttext: \"\"\n\t\t}]\n\t}\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlerdeserializer"
},
"$:/core/modules/editor/engines/framed.js": {
"title": "$:/core/modules/editor/engines/framed.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.iframeNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\tif(this.widget.editAutoComplete) {\n\t\tthis.domNode.setAttribute(\"autocomplete\",this.widget.editAutoComplete);\n\t}\n\tif(this.widget.isDisabled === \"yes\") {\n\t\tthis.domNode.setAttribute(\"disabled\",true);\n\t}\t\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"click\",handlerObject: this,handlerMethod: \"handleClickEvent\"},\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"},\n\t\t{name: \"focus\",handlerObject: this,handlerMethod: \"handleFocusEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.updateDomNodeText(text);\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nUpdate the DomNode with the new text\n*/\nFramedEngine.prototype.updateDomNodeText = function(text) {\n\tthis.domNode.value = text;\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a focus event\n*/\nFramedEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editCancelPopups) {\n\t\t$tw.popup.cancel(0);\t\n\t}\n};\n\n/*\nHandle a click\n*/\nFramedEngine.prototype.handleClickEvent = function(event) {\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\tif(this.widget.editInputActions) {\n\t\tthis.widget.invokeActionString(this.widget.editInputActions);\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/engines/simple.js": {
"title": "$:/core/modules/editor/engines/simple.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.domNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\tif(this.widget.editAutoComplete) {\n\t\tthis.domNode.setAttribute(\"autocomplete\",this.widget.editAutoComplete);\n\t}\n\tif(this.widget.isDisabled === \"yes\") {\n\t\tthis.domNode.setAttribute(\"disabled\",true);\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.updateDomNodeText(text);\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nUpdate the DomNode with the new text\n*/\nSimpleEngine.prototype.updateDomNodeText = function(text) {\n\tthis.domNode.value = text;\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\tif(this.widget.editInputActions) {\n\t\tthis.widget.invokeActionString(this.widget.editInputActions);\n\t}\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editCancelPopups) {\n\t\t$tw.popup.cancel(0);\n\t}\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/factory.js": {
"title": "$:/core/modules/editor/factory.js",
"text": "/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\t\tthis.editCancelPopups = this.getAttribute(\"cancelPopups\",\"\") === \"yes\";\n\t\tthis.editInputActions = this.getAttribute(\"inputActions\");\n\t\tthis.editRefreshTitle = this.getAttribute(\"refreshTitle\");\n\t\tthis.editAutoComplete = this.getAttribute(\"autocomplete\");\n\t\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag) || \"input\";\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0) && (!this.document.isTiddlyWikiFakeDom);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup || changedAttributes.rows || changedAttributes.tabindex || changedAttributes.cancelPopups || changedAttributes.inputActions || changedAttributes.refreshTitle || changedAttributes.autocomplete || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE] || changedAttributes.disabled) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if (changedTiddlers[this.editRefreshTitle]) {\n\t\t\tthis.engine.updateDomNodeText(this.getEditInfo().value);\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(\"keydown\", true, true);\n\t\t}\n\t\tnewEvent.keyCode = event.keyCode;\n\t\tnewEvent.which = event.which;\n\t\tnewEvent.metaKey = event.metaKey;\n\t\tnewEvent.ctrlKey = event.ctrlKey;\n\t\tnewEvent.altKey = event.altKey;\n\t\tnewEvent.shiftKey = event.shiftKey;\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\treturn EditTextWidget;\n\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/operations/bitmap/clear.js": {
"title": "$:/core/modules/editor/operations/bitmap/clear.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/resize.js": {
"title": "$:/core/modules/editor/operations/bitmap/resize.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/rotate-left.js": {
"title": "$:/core/modules/editor/operations/bitmap/rotate-left.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/rotate-left.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to rotate the image left by 90 degrees\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"rotate-left\"] = function(event) {\n\t// Rotate the canvas left by 90 degrees\n\tthis.rotateCanvasLeft();\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/text/excise.js": {
"title": "$:/core/modules/editor/operations/text/excise.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ? [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/make-link.js": {
"title": "$:/core/modules/editor/operations/text/make-link.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/prefix-lines.js": {
"title": "$:/core/modules/editor/operations/text/prefix-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\tvar targetCount = parseInt(event.paramObject.count + \"\",10);\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,targetCount);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile(line.charAt(0) === event.paramObject.character) {\n\t\t\tline = line.substring(1);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== targetCount) {\n\t\t\t// Apply the prefix\n\t\t\tline = prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-all.js": {
"title": "$:/core/modules/editor/operations/text/replace-all.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-selection.js": {
"title": "$:/core/modules/editor/operations/text/replace-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/save-selection.js": {
"title": "$:/core/modules/editor/operations/text/save-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/save-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to save the current selection in a specified tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"save-selection\"] = function(event,operation) {\n\tvar tiddler = event.paramObject.tiddler,\n\t\tfield = event.paramObject.field || \"text\";\n\tif(tiddler && field) {\n\t\tthis.wiki.setText(tiddler,field,null,operation.text.substring(operation.selStart,operation.selEnd));\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-lines.js": {
"title": "$:/core/modules/editor/operations/text/wrap-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Add the prefix and suffix\n\toperation.replacement = event.paramObject.prefix + \"\\n\" +\n\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\tevent.paramObject.suffix + \"\\n\";\n\toperation.newSelStart = operation.cutStart + event.paramObject.prefix.length + 1;\n\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-selection.js": {
"title": "$:/core/modules/editor/operations/text/wrap-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix\n\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\toperation.replacement = \"\";\n\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/filterrunprefixes/all.js": {
"title": "$:/core/modules/filterrunprefixes/all.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/all.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nUnion of sets without de-duplication.\nEquivalent to = filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.all = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.push.apply(results, operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filterrunprefixes/and.js": {
"title": "$:/core/modules/filterrunprefixes/and.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/and.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nIntersection of sets.\nEquivalent to + filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.and = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\tsource = options.wiki.makeTiddlerIterator(results.toArray());\n\t\tresults.clear();\n\t\tresults.pushTop(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filterrunprefixes/else.js": {
"title": "$:/core/modules/filterrunprefixes/else.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/else.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nEquivalent to ~ filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.else = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tif(results.length === 0) {\n\t\t\t// Main result so far is empty\n\t\t\tresults.pushTop(operationSubFunction(source,widget));\n\t\t}\n\t};\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filterrunprefixes/except.js": {
"title": "$:/core/modules/filterrunprefixes/except.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/except.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nDifference of sets.\nEquivalent to - filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.except = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.remove(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filterrunprefixes/filter.js": {
"title": "$:/core/modules/filterrunprefixes/filter.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/filter.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.filter = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar resultsToRemove = [];\n\t\t\tresults.each(function(result) {\n\t\t\t\tvar filtered = operationSubFunction(options.wiki.makeTiddlerIterator([result]),widget);\n\t\t\t\tif(filtered.length === 0) {\n\t\t\t\t\tresultsToRemove.push(result);\n\t\t\t\t}\n\t\t\t});\n\t\t\tresults.remove(resultsToRemove);\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filterrunprefixes/intersection.js": {
"title": "$:/core/modules/filterrunprefixes/intersection.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/intersection.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.intersection = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tif(results.length !== 0) {\n\t\t\tvar secondRunResults = operationSubFunction(source,widget);\n\t\t\tvar firstRunResults = results.toArray();\n\t\t\tresults.clear();\n\t\t\t$tw.utils.each(firstRunResults,function(title) {\n\t\t\t\tif(secondRunResults.indexOf(title) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t};\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filterrunprefixes/or.js": {
"title": "$:/core/modules/filterrunprefixes/or.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/or.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nEquivalent to a filter run with no prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.or = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.pushTop(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filterrunprefixes/reduce.js": {
"title": "$:/core/modules/filterrunprefixes/reduce.js",
"text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/reduce.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.reduce = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar accumulator = \"\";\n\t\t\tvar index = 0;\n\t\t\tresults.each(function(title) {\n\t\t\t\tvar list = operationSubFunction(options.wiki.makeTiddlerIterator([title]),{\n\t\t\t\t\t\tgetVariable: function(name) {\n\t\t\t\t\t\t\tswitch(name) {\n\t\t\t\t\t\t\t\tcase \"currentTiddler\":\n\t\t\t\t\t\t\t\t\treturn \"\" + title;\n\t\t\t\t\t\t\t\tcase \"accumulator\":\n\t\t\t\t\t\t\t\t\treturn \"\" + accumulator;\n\t\t\t\t\t\t\t\tcase \"index\":\n\t\t\t\t\t\t\t\t\treturn \"\" + index;\n\t\t\t\t\t\t\t\tcase \"revIndex\":\n\t\t\t\t\t\t\t\t\treturn \"\" + (results.length - 1 - index);\n\t\t\t\t\t\t\t\tcase \"length\":\n\t\t\t\t\t\t\t\t\treturn \"\" + results.length;\n\t\t\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\t\t\treturn widget.getVariable(name);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\tif(list.length > 0) {\n\t\t\t\t\taccumulator = \"\" + list[0];\n\t\t\t\t}\n\t\t\t\t++index;\n\t\t\t});\n\t\t\tresults.clear();\n\t\t\tresults.push(accumulator);\t\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filterrunprefix"
},
"$:/core/modules/filters/addprefix.js": {
"title": "$:/core/modules/filters/addprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/addsuffix.js": {
"title": "$:/core/modules/filters/addsuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/after.js": {
"title": "$:/core/modules/filters/after.js",
"text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/all/current.js": {
"title": "$:/core/modules/filters/all/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/missing.js": {
"title": "$:/core/modules/filters/all/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/orphans.js": {
"title": "$:/core/modules/filters/all/orphans.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/shadows.js": {
"title": "$:/core/modules/filters/all/shadows.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tags.js": {
"title": "$:/core/modules/filters/all/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tiddlers.js": {
"title": "$:/core/modules/filters/all/tiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all.js": {
"title": "$:/core/modules/filters/all.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/backlinks.js": {
"title": "$:/core/modules/filters/backlinks.js",
"text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/before.js": {
"title": "$:/core/modules/filters/before.js",
"text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/commands.js": {
"title": "$:/core/modules/filters/commands.js",
"text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/compare.js": {
"title": "$:/core/modules/filters/compare.js",
"text": "/*\\\ntitle: $:/core/modules/filters/compare.js\ntype: application/javascript\nmodule-type: filteroperator\n\nGeneral purpose comparison operator\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.compare = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = (suffixes[0] || [])[0],\n\t\tmode = (suffixes[1] || [])[0],\n\t\ttypeFn = $tw.utils.makeCompareFunction(type,{defaultType: \"number\"}),\n\t\tmodeFn = modes[mode] || modes.eq,\n\t\tinvert = operator.prefix === \"!\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tif(modeFn(typeFn(title,operator.operand)) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nvar modes = {\n\t\"eq\": function(value) {return value === 0;},\n\t\"ne\": function(value) {return value !== 0;},\n\t\"gteq\": function(value) {return value >= 0;},\n\t\"gt\": function(value) {return value > 0;},\n\t\"lteq\": function(value) {return value <= 0;},\n\t\"lt\": function(value) {return value < 0;}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/contains.js": {
"title": "$:/core/modules/filters/contains.js",
"text": "/*\\\ntitle: $:/core/modules/filters/contains.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for finding values in array fields\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.contains = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"list\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/count.js": {
"title": "$:/core/modules/filters/count.js",
"text": "/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/days.js": {
"title": "$:/core/modules/filters/days.js",
"text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/duplicateslugs.js": {
"title": "$:/core/modules/filters/duplicateslugs.js",
"text": "/*\\\ntitle: $:/core/modules/filters/duplicateslugs.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter function for [duplicateslugs[]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.duplicateslugs = function(source,operator,options) {\n\tvar slugs = Object.create(null), // Hashmap by slug of title, replaced with \"true\" if the duplicate title has already been output\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tvar slug = options.wiki.slugify(title);\n\t\tif(slug in slugs) {\n\t\t\tif(slugs[slug] !== true) {\n\t\t\t\tresults.push(slugs[slug]);\n\t\t\t\tslugs[slug] = true;\n\t\t\t}\n\t\t\tresults.push(title);\n\t\t} else {\n\t\t\tslugs[slug] = title;\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/each.js": {
"title": "$:/core/modules/filters/each.js",
"text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\tvalue,values = {},\n\tfield = operator.operand || \"title\";\n\tif(operator.suffix === \"value\" && field === \"title\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(values,title)) {\n\t\t\t\tvalues[title] = true;\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else if(operator.suffix !== \"list-item\") {\n\t\tif(field === \"title\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !$tw.utils.hop(values,title)) {\n\t\t\t\t\tvalues[title] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvalue = tiddler.getFieldString(field);\n\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/eachday.js": {
"title": "$:/core/modules/filters/eachday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editiondescription.js": {
"title": "$:/core/modules/filters/editiondescription.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [];\n\tif($tw.node) {\n\t\tvar editionInfo = $tw.utils.getEditionInfo();\n\t\tif(editionInfo) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editions.js": {
"title": "$:/core/modules/filters/editions.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [];\n\tif($tw.node) {\n\t\tvar editionInfo = $tw.utils.getEditionInfo();\n\t\tif(editionInfo) {\n\t\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\t\tresults.push(name);\n\t\t\t});\n\t\t}\n\t\tresults.sort();\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/else.js": {
"title": "$:/core/modules/filters/else.js",
"text": "/*\\\ntitle: $:/core/modules/filters/else.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing an empty input list with a constant, passing a non-empty input list straight through\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.else = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tif(results.length === 0) {\n\t\treturn [operator.operand];\n\t} else {\n\t\treturn results;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/decodeuricomponent.js": {
"title": "$:/core/modules/filters/decodeuricomponent.js",
"text": "/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURIComponent(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURI(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title,(operator.suffix === \"rawunicode\")));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title,(operator.suffix === \"rawunicode\")));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\nexports.escapecss = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t// escape any character with a special meaning in CSS using CSS.escape()\n\t\tresults.push(CSS.escape(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/enlist.js": {
"title": "$:/core/modules/filters/enlist.js",
"text": "/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar allowDuplicates = false;\n\tswitch(operator.suffix) {\n\t\tcase \"raw\":\n\t\t\tallowDuplicates = true;\n\t\t\tbreak;\n\t\tcase \"dedupe\":\n\t\t\tallowDuplicates = false;\n\t\t\tbreak;\n\t}\n\tvar list = $tw.utils.parseStringArray(operator.operand,allowDuplicates);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/field.js": {
"title": "$:/core/modules/filters/field.js",
"text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],indexedResults,\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tif(source.byField && operator.operand) {\n\t\t\t\tindexedResults = source.byField(fieldname,operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults\n\t\t\t\t}\n\t\t\t}\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/fields.js": {
"title": "$:/core/modules/filters/fields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName,\n\t\tsuffixes = (operator.suffixes || [])[0] || [],\n\t\toperand = $tw.utils.parseStringArray(operator.operand);\n\t\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(suffixes.indexOf(\"include\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? $tw.utils.pushTop(results,fieldName) : \"\";\n\t\t\t\t}\n\t\t\t} else if (suffixes.indexOf(\"exclude\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? \"\" : $tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else if\n\t\t\telse {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else\n\t\t} // if (tiddler)\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/filter.js": {
"title": "$:/core/modules/filters/filter.js",
"text": "/*\\\ntitle: $:/core/modules/filters/filter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning those input titles that pass a subfilter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.filter = function(source,operator,options) {\n\tvar filterFn = options.wiki.compileFilter(operator.operand),\n\t\tresults = [],\n\t\ttarget = operator.prefix !== \"!\";\n\tsource(function(tiddler,title) {\n\t\tvar list = filterFn.call(options.wiki,options.wiki.makeTiddlerIterator([title]));\n\t\tif((list.length > 0) === target) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/format/date.js": {
"title": "$:/core/modules/filters/format/date.js",
"text": "/*\\\ntitle: $:/core/modules/filters/format/date.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.date = function(source,operand,options) {\n\tvar results = [];\t\n\tsource(function(tiddler,title) {\n\t\tvar value = $tw.utils.parseDate(title);\n\t\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\t\tresults.push($tw.utils.formatDateString(value,operand || \"YYYY MM DD 0hh:0mm\"));\n\t\t}\n\t});\t\n\treturn results;\n};\n\n})();",
"type": "application/javascript",
"module-type": "formatfilteroperator"
},
"$:/core/modules/filters/format/relativedate.js": {
"title": "$:/core/modules/filters/format/relativedate.js",
"text": "/*\\\ntitle: $:/core/modules/filters/format/relativedate.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.relativedate = function(source,operand,options) {\n\tvar results = [];\t\n\tsource(function(tiddler,title) {\n\t\tvar value = $tw.utils.parseDate(title);\n\t\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\t\tresults.push($tw.utils.getRelativeDate((new Date()) - (new Date(value))).description);\n\t\t}\n\t});\t\n\treturn results;\n};\n\n})();",
"type": "application/javascript",
"module-type": "formatfilteroperator"
},
"$:/core/modules/filters/format.js": {
"title": "$:/core/modules/filters/format.js",
"text": "/*\\\ntitle: $:/core/modules/filters/format.js\ntype: application/javascript\nmodule-type: filteroperator\nFilter operator for formatting strings\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar formatFilterOperators;\n\nfunction getFormatFilterOperators() {\n\tif(!formatFilterOperators) {\n\t\tformatFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"formatfilteroperator\",formatFilterOperators);\n\t}\n\treturn formatFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.format = function(source,operator,options) {\n\t// Dispatch to the correct formatfilteroperator\n\tvar formatFilterOperators = getFormatFilterOperators();\n\tif(operator.suffix) {\n\t\tvar formatFilterOperator = formatFilterOperators[operator.suffix];\n\t\tif(formatFilterOperator) {\n\t\t\treturn formatFilterOperator(source,operator.operand,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/FormatFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all unchanged if the suffix is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/get.js": {
"title": "$:/core/modules/filters/get.js",
"text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getindex.js": {
"title": "$:/core/modules/filters/getindex.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getvariable.js": {
"title": "$:/core/modules/filters/getvariable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getvariable.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing input values by the value of the variable with the same name, or blank if the variable is missing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getvariable = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.widget.getVariable(title) || \"\");\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/has.js": {
"title": "$:/core/modules/filters/has.js",
"text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field or index\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse if(operator.suffix === \"index\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(options.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(options.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && (tiddler.fields[operator.operand].length !== 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\t\t\t\t\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/haschanged.js": {
"title": "$:/core/modules/filters/haschanged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/indexes.js": {
"title": "$:/core/modules/filters/indexes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/insertbefore.js": {
"title": "$:/core/modules/filters/insertbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\");\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tresults.push(operator.operand);\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/is/binary.js": {
"title": "$:/core/modules/filters/is/binary.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/binary.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[binary]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.binary = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/blank.js": {
"title": "$:/core/modules/filters/is/blank.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/blank.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[blank]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.blank = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/current.js": {
"title": "$:/core/modules/filters/is/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/draft.js": {
"title": "$:/core/modules/filters/is/draft.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/draft.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[draft]] analagous to [has[draft.of]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.draft = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,\"draft.of\")) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,\"draft.of\") && (tiddler.fields[\"draft.of\"].length !== 0)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\t\t\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/image.js": {
"title": "$:/core/modules/filters/is/image.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/missing.js": {
"title": "$:/core/modules/filters/is/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/orphan.js": {
"title": "$:/core/modules/filters/is/orphan.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/shadow.js": {
"title": "$:/core/modules/filters/is/shadow.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/system.js": {
"title": "$:/core/modules/filters/is/system.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tag.js": {
"title": "$:/core/modules/filters/is/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tiddler.js": {
"title": "$:/core/modules/filters/is/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/variable.js": {
"title": "$:/core/modules/filters/is/variable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/variable.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[variable]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variable = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!(title in options.widget.variables)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title in options.widget.variables) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is.js": {
"title": "$:/core/modules/filters/is.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/limit.js": {
"title": "$:/core/modules/filters/limit.js",
"text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/links.js": {
"title": "$:/core/modules/filters/links.js",
"text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/list.js": {
"title": "$:/core/modules/filters/list.js",
"text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listed.js": {
"title": "$:/core/modules/filters/listed.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listops.js": {
"title": "$:/core/modules/filters/listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/lookup.js": {
"title": "$:/core/modules/filters/lookup.js",
"text": "/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<field>[<prefix>]]\n\nPrepends the prefix to the selected items and returns the specified field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.getTiddlerText(operator.operand + title) || operator.suffix);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/match.js": {
"title": "$:/core/modules/filters/match.js",
"text": "/*\\\ntitle: $:/core/modules/filters/match.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title matches a string\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.match = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() !== (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() === (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/math.js": {
"title": "$:/core/modules/filters/math.js",
"text": "/*\\\ntitle: $:/core/modules/filters/math.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for math. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\nNote that strings are converted to numbers automatically. Trailing non-digits are ignored.\n\n* \"\" converts to 0\n* \"12kk\" converts to 12\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.negate = makeNumericBinaryOperator(\n\tfunction(a) {return -a}\n);\n\nexports.abs = makeNumericBinaryOperator(\n\tfunction(a) {return Math.abs(a)}\n);\n\nexports.ceil = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(a)}\n);\n\nexports.floor = makeNumericBinaryOperator(\n\tfunction(a) {return Math.floor(a)}\n);\n\nexports.round = makeNumericBinaryOperator(\n\tfunction(a) {return Math.round(a)}\n);\n\nexports.trunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.trunc(a)}\n);\n\nexports.untrunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(Math.abs(a)) * Math.sign(a)}\n);\n\nexports.sign = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sign(a)}\n);\n\nexports.add = makeNumericBinaryOperator(\n\tfunction(a,b) {return a + b;}\n);\n\nexports.subtract = makeNumericBinaryOperator(\n\tfunction(a,b) {return a - b;}\n);\n\nexports.multiply = makeNumericBinaryOperator(\n\tfunction(a,b) {return a * b;}\n);\n\nexports.divide = makeNumericBinaryOperator(\n\tfunction(a,b) {return a / b;}\n);\n\nexports.remainder = makeNumericBinaryOperator(\n\tfunction(a,b) {return a % b;}\n);\n\nexports.max = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.max(a,b);}\n);\n\nexports.min = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.min(a,b);}\n);\n\nexports.fixed = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toFixed.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.precision = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toPrecision.call(a,Math.min(Math.max(b,1),100));}\n);\n\nexports.exponential = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toExponential.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.power = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.pow(a,b);}\n);\n\nexports.log = makeNumericBinaryOperator(\n\tfunction(a,b) {\n\t\tif(b) {\n\t\t\treturn Math.log(a)/Math.log(b);\n\t\t} else {\n\t\t\treturn Math.log(a);\n\t\t}\n\t}\n);\n\nexports.sum = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0 // Initial value\n);\n\nexports.product = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator * value},\n\t1 // Initial value\n);\n\nexports.maxall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.max(accumulator,value)},\n\t-Infinity // Initial value\n);\n\nexports.minall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.min(accumulator,value)},\n\tInfinity // Initial value\n);\n\nfunction makeNumericBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [],\n\t\t\tnumOperand = $tw.utils.parseNumber(operator.operand);\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.stringifyNumber(fnCalc($tw.utils.parseNumber(title),numOperand)));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeNumericReducingOperator(fnCalc,initialValue) {\n\tinitialValue = initialValue || 0;\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [$tw.utils.stringifyNumber(result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,$tw.utils.parseNumber(currentValue));\n\t\t},initialValue))];\n\t};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/minlength.js": {
"title": "$:/core/modules/filters/minlength.js",
"text": "/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/modules.js": {
"title": "$:/core/modules/filters/modules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/moduletypes.js": {
"title": "$:/core/modules/filters/moduletypes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/next.js": {
"title": "$:/core/modules/filters/next.js",
"text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/plugintiddlers.js": {
"title": "$:/core/modules/filters/plugintiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/prefix.js": {
"title": "$:/core/modules/filters/prefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/previous.js": {
"title": "$:/core/modules/filters/previous.js",
"text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/range.js": {
"title": "$:/core/modules/filters/range.js",
"text": "/*\\\ntitle: $:/core/modules/filters/range.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for generating a numeric range.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.range = function(source,operator,options) {\n\tvar results = [];\n\t// Split the operand into numbers delimited by these symbols\n\tvar parts = operator.operand.split(/[,:;]/g),\n\t\tbeg, end, inc, i, fixed = 0;\n\tfor (i=0; i<parts.length; i++) {\n\t\t// Validate real number\n\t\tif(!/^\\s*[+-]?((\\d+(\\.\\d*)?)|(\\.\\d+))\\s*$/.test(parts[i])) {\n\t\t\treturn [\"range: bad number \\\"\" + parts[i] + \"\\\"\"];\n\t\t}\n\t\t// Count digits; the most precise number determines decimal places in output.\n\t\tvar frac = /\\.\\d+/.exec(parts[i]);\n\t\tif(frac) {\n\t\t\tfixed = Math.max(fixed,frac[0].length-1);\n\t\t}\n\t\tparts[i] = parseFloat(parts[i]);\n\t}\n\tswitch(parts.length) {\n\t\tcase 1:\n\t\t\tend = parts[0];\n\t\t\tif (end >= 1) {\n\t\t\t\tbeg = 1;\n\t\t\t}\n\t\t\telse if (end <= -1) {\n\t\t\t\tbeg = -1;\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn [];\n\t\t\t}\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = Math.abs(parts[2]);\n\t\t\tbreak;\n\t}\n\tif(inc === 0) {\n\t\treturn [\"range: increment 0 causes infinite loop\"];\n\t}\n\t// May need to count backwards\n\tvar direction = ((end < beg) ? -1 : 1);\n\tinc *= direction;\n\t// Estimate number of resulting elements\n\tif((end - beg) / inc > 10000) {\n\t\treturn [\"range: too many steps (over 10K)\"];\n\t}\n\t// Avoid rounding error on last step\n\tend += direction * 0.5 * Math.pow(0.1,fixed);\n\tvar safety = 10010;\n\t// Enumerate the range\n\tif (end<beg) {\n\t\tfor(i=beg; i>end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tfor(i=beg; i<end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\tif(safety<0) {\n\t\treturn [\"range: unexpectedly large output\"];\n\t}\n\t// Reverse?\n\tif(operator.prefix === \"!\") {\n\t\tresults.reverse();\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/reduce.js": {
"title": "$:/core/modules/filters/reduce.js",
"text": "/*\\\ntitle: $:/core/modules/filters/reduce.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator evaluates a subfilter for each item, making the running total available in the variable `accumulator`, and the current index available in the variable `index`\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.reduce = function(source,operator,options) {\n\t// Accumulate the list\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Run the filter over each item\n\tvar filterFn = options.wiki.compileFilter(operator.operand),\n\t\taccumulator = operator.operands[1] || \"\";\n\tfor(var index=0; index<results.length; index++) {\n\t\tvar title = results[index],\n\t\t\tlist = filterFn.call(options.wiki,options.wiki.makeTiddlerIterator([title]),{\n\t\t\t\tgetVariable: function(name) {\n\t\t\t\t\tswitch(name) {\n\t\t\t\t\t\tcase \"currentTiddler\":\n\t\t\t\t\t\t\treturn \"\" + title;\n\t\t\t\t\t\tcase \"accumulator\":\n\t\t\t\t\t\t\treturn \"\" + accumulator;\n\t\t\t\t\t\tcase \"index\":\n\t\t\t\t\t\t\treturn \"\" + index;\n\t\t\t\t\t\tcase \"revIndex\":\n\t\t\t\t\t\t\treturn \"\" + (results.length - 1 - index);\n\t\t\t\t\t\tcase \"length\":\n\t\t\t\t\t\t\treturn \"\" + results.length;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\treturn options.widget.getVariable(name);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\tif(list.length > 0) {\n\t\t\taccumulator = \"\" + list[0];\n\t\t}\n\t}\n\tif(results.length > 0) {\n\t\treturn [accumulator];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/regexp.js": {
"title": "$:/core/modules/filters/regexp.js",
"text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removeprefix.js": {
"title": "$:/core/modules/filters/removeprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removesuffix.js": {
"title": "$:/core/modules/filters/removesuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title && title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sameday.js": {
"title": "$:/core/modules/filters/sameday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/search.js": {
"title": "$:/core/modules/filters/search.js",
"text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffixes) {\n\t\tvar hasFlag = function(flag) {\n\t\t\t\treturn (operator.suffixes[1] || []).indexOf(flag) !== -1;\n\t\t\t},\n\t\t\texcludeFields = false,\n\t\t\tfieldList = operator.suffixes[0] || [],\n\t\t\tfirstField = fieldList[0] || \"\", \n\t\t\tfirstChar = firstField.charAt(0),\n\t\t\tfields;\n\t\tif(firstChar === \"-\") {\n\t\t\tfields = [firstField.slice(1)].concat(fieldList.slice(1));\n\t\t\texcludeFields = true;\n\t\t} else if(fieldList[0] === \"*\"){\n\t\t\tfields = [];\n\t\t\texcludeFields = true;\n\t\t} else {\n\t\t\tfields = fieldList.slice(0);\n\t\t}\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: fields,\n\t\t\texcludeField: excludeFields,\n\t\t\tcaseSensitive: hasFlag(\"casesensitive\"),\n\t\t\tliteral: hasFlag(\"literal\"),\n\t\t\twhitespace: hasFlag(\"whitespace\"),\n\t\t\tanchored: hasFlag(\"anchored\"),\n\t\t\tregexp: hasFlag(\"regexp\"),\n\t\t\twords: hasFlag(\"words\")\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/shadowsource.js": {
"title": "$:/core/modules/filters/shadowsource.js",
"text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/slugify.js": {
"title": "$:/core/modules/filters/slugify.js",
"text": "/*\\\ntitle: $:/core/modules/filters/slugify.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for slugifying a tiddler title\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.slugify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.slugify(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sort.js": {
"title": "$:/core/modules/filters/sort.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortan = function(source, operator, options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results, operator.operand || \"title\", operator.prefix === \"!\",false,false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sortsub.js": {
"title": "$:/core/modules/filters/sortsub.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sortsub.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting by a subfilter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sortsub = function(source,operator,options) {\n\t// Compile the subfilter\n\tvar filterFn = options.wiki.compileFilter(operator.operand);\n\t// Collect the input titles and the corresponding sort keys\n\tvar inputTitles = [],\n\t\tsortKeys = [];\n\tsource(function(tiddler,title) {\n\t\tinputTitles.push(title);\n\t\tvar r = filterFn.call(options.wiki,function(iterator) {\n\t\t\titerator(options.wiki.getTiddler(title),title);\n\t\t},{\n\t\t\tgetVariable: function(name) {\n\t\t\t\tif(name === \"currentTiddler\") {\n\t\t\t\t\treturn title;\n\t\t\t\t} else {\n\t\t\t\t\treturn options.widget.getVariable(name);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tsortKeys.push(r[0] || \"\");\n\t});\n\t// Rather than sorting the titles array, we'll sort the indexes so that we can consult both arrays\n\tvar indexes = new Array(inputTitles.length);\n\tfor(var t=0; t<inputTitles.length; t++) {\n\t\tindexes[t] = t;\n\t}\n\t// Sort the indexes\n\tvar compareFn = $tw.utils.makeCompareFunction(operator.suffix,{defaultType: \"string\",invert: operator.prefix === \"!\"});\n\tindexes = indexes.sort(function(a,b) {\n\t\treturn compareFn(sortKeys[a],sortKeys[b]);\n\t});\n\t// Make the results array in order\n\tvar results = [];\n\t$tw.utils.each(indexes,function(index) {\n\t\tresults.push(inputTitles[index]);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/splitbefore.js": {
"title": "$:/core/modules/filters/splitbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/storyviews.js": {
"title": "$:/core/modules/filters/storyviews.js",
"text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/strings.js": {
"title": "$:/core/modules/filters/strings.js",
"text": "/*\\\ntitle: $:/core/modules/filters/strings.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for strings. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.length = makeStringBinaryOperator(\n\tfunction(a) {return [\"\" + (\"\" + a).length];}\n);\n\nexports.uppercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toUpperCase()];}\n);\n\nexports.lowercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toLowerCase()];}\n);\n\nexports.sentencecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toSentenceCase(a)];}\n);\n\nexports.titlecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toTitleCase(a)];}\n);\n\nexports.trim = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\toperand = (operator.operand || \"\"),\n\t\tfnCalc;\n\tif(suffix === \"prefix\") {\n\t\tfnCalc = function(a,b) {return [$tw.utils.trimPrefix(a,b)];}\n\t} else if(suffix === \"suffix\") {\n\t\tfnCalc = function(a,b) {return [$tw.utils.trimSuffix(a,b)];}\n\t} else {\n\t\tif(operand === \"\") {\n\t\t\tfnCalc = function(a) {return [$tw.utils.trim(a)];}\n\t\t} else {\n\t\t\tfnCalc = function(a,b) {return [$tw.utils.trimSuffix($tw.utils.trimPrefix(a,b),b)];}\n\t\t}\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,fnCalc(title,operand));\n\t});\n\treturn result;\n};\n\nexports.split = makeStringBinaryOperator(\n\tfunction(a,b) {return (\"\" + a).split(b);}\n);\n\nexports[\"enlist-input\"] = makeStringBinaryOperator(\n\tfunction(a,o,s) {return $tw.utils.parseStringArray(\"\" + a,(s === \"raw\"));}\n);\n\nexports.join = makeStringReducingOperator(\n\tfunction(accumulator,value,operand) {\n\t\tif(accumulator === null) {\n\t\t\treturn value;\n\t\t} else {\n\t\t\treturn accumulator + operand + value;\n\t\t}\n\t},null\n);\n\nfunction makeStringBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tArray.prototype.push.apply(result,fnCalc(title,operator.operand || \"\",operator.suffix || \"\"));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeStringReducingOperator(fnCalc,initialValue) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\tif(result.length === 0) {\n\t\t\treturn [];\n\t\t}\n\t\treturn [result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,currentValue,operator.operand || \"\");\n\t\t},initialValue) || \"\"];\n\t};\n}\n\nexports.splitregexp = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\tflags = (suffix.indexOf(\"m\") !== -1 ? \"m\" : \"\") + (suffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(operator.operand || \"\",flags);\t\t\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,title.split(regExp));\n\t});\t\t\n\treturn result;\n};\n\nexports[\"search-replace\"] = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = operator.suffixes || [],\n\t\tflagSuffix = (suffixes[0] ? (suffixes[0][0] || \"\") : \"\"),\n\t\tflags = (flagSuffix.indexOf(\"g\") !== -1 ? \"g\" : \"\") + (flagSuffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tisRegExp = (suffixes[1] && suffixes[1][0] === \"regexp\") ? true : false,\n\t\tsearchTerm,\n\t\tregExp;\n\t\n\tsource(function(tiddler,title) {\n\t\tif(title && (operator.operands.length > 1)) {\n\t\t\t//Escape regexp characters if the operand is not a regular expression\n\t\t\tsearchTerm = isRegExp ? operator.operand : $tw.utils.escapeRegExp(operator.operand);\n\t\t\ttry {\n\t\t\t\tregExp = new RegExp(searchTerm,flags);\n\t\t\t} catch(ex) {\n\t\t\t\treturn [\"RegExp error: \" + ex];\n\t\t\t}\n\t\t\tresults.push(\n\t\t\t\ttitle.replace(regExp,operator.operands[1])\n\t\t\t);\n\t\t} else {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nexports.pad = function(source,operator,options) {\n\tvar results = [],\n\t\ttargetLength = operator.operand ? parseInt(operator.operand) : 0,\n\t\tfill = operator.operands[1] || \"0\";\n\n\tsource(function(tiddler,title) {\n\t\tif(title && title.length) {\n\t\t\tif(title.length >= targetLength) {\n\t\t\t\tresults.push(title);\n\t\t\t} else {\n\t\t\t\tvar padString = \"\",\n\t\t\t\t\tpadStringLength = targetLength - title.length;\n\t\t\t\twhile (padStringLength > padString.length) {\n\t\t\t\t\tpadString += fill;\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t//make sure we do not exceed the specified length\n\t\t\t\tpadString = padString.slice(0,padStringLength);\n\t\t\t\tif(operator.suffix && (operator.suffix === \"suffix\")) {\n\t\t\t\t\ttitle = title + padString;\n\t\t\t\t} else {\n\t\t\t\t\ttitle = padString + title;\n\t\t\t\t}\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subfilter.js": {
"title": "$:/core/modules/filters/subfilter.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subfilter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand evaluated as a filter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subfilter = function(source,operator,options) {\n\tvar list = options.wiki.filterTiddlers(operator.operand,options.widget,source);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subtiddlerfields.js": {
"title": "$:/core/modules/filters/subtiddlerfields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subtiddlerfields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected subtiddlers of the plugin named in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subtiddlerfields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar subtiddler = options.wiki.getSubTiddler(operator.operand,title);\n\t\tif(subtiddler) {\n\t\t\tfor(var fieldName in subtiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/suffix.js": {
"title": "$:/core/modules/filters/suffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tag.js": {
"title": "$:/core/modules/filters/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [],indexedResults;\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tvar tiddlers;\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddlers.indexOf(title) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tif(source.byTag) {\n\t\t\t\tindexedResults = source.byTag(operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(tiddlers.indexOf(title) !== -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t\t}\n\t\t}\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tagging.js": {
"title": "$:/core/modules/filters/tagging.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tags.js": {
"title": "$:/core/modules/filters/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/then.js": {
"title": "$:/core/modules/filters/then.js",
"text": "/*\\\ntitle: $:/core/modules/filters/then.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing any titles with a constant\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.then = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/title.js": {
"title": "$:/core/modules/filters/title.js",
"text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/untagged.js": {
"title": "$:/core/modules/filters/untagged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/variables.js": {
"title": "$:/core/modules/filters/variables.js",
"text": "/*\\\ntitle: $:/core/modules/filters/variables.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the active variables\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variables = function(source,operator,options) {\n\tvar names = [];\n\tfor(var variable in options.widget.variables) {\n\t\tnames.push(variable);\n\t}\n\treturn names.sort();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/wikiparserrules.js": {
"title": "$:/core/modules/filters/wikiparserrules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/x-listops.js": {
"title": "$:/core/modules/filters/x-listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n\t/*jslint node: true, browser: true */\n\t/*global $tw: false */\n\t\"use strict\";\n\n\t/*\n\tFetch titles from the current list\n\t*/\n\tvar prepare_results = function (source) {\n\tvar results = [];\n\t\tsource(function (tiddler, title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list before the item named in the operand\n\t*/\n\texports.putbefore = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -1) :\n\t\t\tresults.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list after the item named in the operand\n\t*/\n\texports.putafter = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -1) :\n\t\t\tresults.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n\t};\n\n\t/*\n\tReplaces the item named in the operand with a number of items from the tail of the current list\n\t*/\n\texports.replace = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -count) :\n\t\t\tresults.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list to the head of the list\n\t*/\n\texports.putfirst = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn results.slice(-count).concat(results.slice(0, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the head of the current list to the tail of the list\n\t*/\n\texports.putlast = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn results.slice(count).concat(results.slice(0, count));\n\t};\n\n\t/*\n\tMoves the item named in the operand a number of places forward or backward in the list\n\t*/\n\texports.move = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1),\n\t\t\tmarker = results.splice(index, 1),\n\t\t\toffset = (index + count) > 0 ? index + count : 0;\n\t\treturn results.slice(0, offset).concat(marker).concat(results.slice(offset));\n\t};\n\n\t/*\n\tReturns the items from the current list that are after the item named in the operand\n\t*/\n\texports.allafter = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand);\n\t\treturn (index === -1) ? [] :\n\t\t\t(operator.suffix) ? results.slice(index) :\n\t\t\tresults.slice(index + 1);\n\t};\n\n\t/*\n\tReturns the items from the current list that are before the item named in the operand\n\t*/\n\texports.allbefore = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand);\n\t\treturn (index === -1) ? [] :\n\t\t\t(operator.suffix) ? results.slice(0, index + 1) :\n\t\t\tresults.slice(0, index);\n\t};\n\n\t/*\n\tAppends the items listed in the operand array to the tail of the current list\n\t*/\n\texports.append = function (source, operator) {\n\t\tvar append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = parseInt(operator.suffix) || append.length;\n\t\treturn (append.length === 0) ? results :\n\t\t\t(operator.prefix) ? results.concat(append.slice(-count)) :\n\t\t\tresults.concat(append.slice(0, count));\n\t};\n\n\t/*\n\tPrepends the items listed in the operand array to the head of the current list\n\t*/\n\texports.prepend = function (source, operator) {\n\t\tvar prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,prepend.length);\n\t\treturn (prepend.length === 0) ? results :\n\t\t\t(operator.prefix) ? prepend.slice(-count).concat(results) :\n\t\t\tprepend.slice(0, count).concat(results);\n\t};\n\n\t/*\n\tReturns all items from the current list except the items listed in the operand array\n\t*/\n\texports.remove = function (source, operator) {\n\t\tvar array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = parseInt(operator.suffix) || array.length,\n\t\t\tp,\n\t\t\tlen,\n\t\t\tindex;\n\t\tlen = array.length - 1;\n\t\tfor (p = 0; p < count; ++p) {\n\t\t\tif (operator.prefix) {\n\t\t\t\tindex = results.indexOf(array[len - p]);\n\t\t\t} else {\n\t\t\t\tindex = results.indexOf(array[p]);\n\t\t\t}\n\t\t\tif (index !== -1) {\n\t\t\t\tresults.splice(index, 1);\n\t\t\t}\n\t\t}\n\t\treturn results;\n\t};\n\n\t/*\n\tReturns all items from the current list sorted in the order of the items in the operand array\n\t*/\n\texports.sortby = function (source, operator) {\n\t\tvar results = prepare_results(source);\n\t\tif (!results || results.length < 2) {\n\t\t\treturn results;\n\t\t}\n\t\tvar lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n\t\tresults.sort(function (a, b) {\n\t\t\treturn lookup.indexOf(a) - lookup.indexOf(b);\n\t\t});\n\t\treturn results;\n\t};\n\n\t/*\n\tRemoves all duplicate items from the current list\n\t*/\n\texports.unique = function (source, operator) {\n\t\tvar results = prepare_results(source);\n\t\tvar set = results.reduce(function (a, b) {\n\t\t\tif (a.indexOf(b) < 0) {\n\t\t\t\ta.push(b);\n\t\t\t}\n\t\t\treturn a;\n\t\t}, []);\n\t\treturn set;\n\t};\n\n\tvar cycleValueInArray = function(results,operands,stepSize) {\n\t\tvar resultsIndex,\n\t\t\tstep = stepSize || 1,\n\t\t\ti = 0,\n\t\t\topLength = operands.length,\n\t\t\tnextOperandIndex;\t\t\n\t\tfor(i; i < opLength; i++) {\n\t\t\tresultsIndex = results.indexOf(operands[i]);\n\t\t\tif(resultsIndex !== -1) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tif(resultsIndex !== -1) {\n\t\t\ti = i + step;\n\t\t\tnextOperandIndex = (i < opLength ? i : i - opLength);\n\t\t\tif(operands.length > 1) {\n\t\t\t\tresults.splice(resultsIndex,1,operands[nextOperandIndex]);\n\t\t\t} else {\n\t\t\t\tresults.splice(resultsIndex,1);\n\t\t\t}\n\t\t} else {\n\t\t\tresults.push(operands[0]);\n\t\t}\n\t\treturn results;\t\t\n\t}\n\n\t/*\n\tToggles an item in the current list.\n\t*/\t\n\texports.toggle = function(source,operator) {\n\t\treturn cycleValueInArray(prepare_results(source),operator.operands);\n\t}\n\n\texports.cycle = function(source,operator) {\n\t\tvar results = prepare_results(source),\n\t\t\toperands = (operator.operand.length ? $tw.utils.parseStringArray(operator.operand, \"true\") : [\"\"]),\n\t\t\tstep = $tw.utils.getInt(operator.operands[1]||\"\",1);\n\t\tif(step < 0) {\n\t\t\toperands.reverse();\n\t\t\tstep = Math.abs(step);\n\t\t}\t\n\t\treturn cycleValueInArray(results,operands,step);\n\t}\n\t\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters.js": {
"title": "$:/core/modules/filters.js",
"text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\t// The raw suffix for older filters\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t\t// The processed suffix for newer filters\n\t\t\toperator.suffixes = [];\n\t\t\t$tw.utils.each(operator.suffix.split(\":\"),function(subsuffix) {\n\t\t\t\toperator.suffixes.push([]);\n\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\tif(entry) {\n\t\t\t\t\t\toperator.suffixes[operator.suffixes.length - 1].push(entry); \n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\t\toperator.operands = [];\n\t\tfunction parseOperand(bracketType) {\n\t\t\tvar operand = {};\n\t\t\tswitch (bracketType) {\n\t\t\t\tcase \"{\": // Curly brackets\n\t\t\t\t\toperand.indirect = true;\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"[\": // Square brackets\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"<\": // Angle brackets\n\t\t\t\t\toperand.variable = true;\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"/\": // regexp brackets\n\t\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\t\tif(rexMatch) {\n\t\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n\t// DEPRECATION WARNING\n\tconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\tif(nextBracketPos === -1) {\n\t\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t\t}\n\t\t\tif(!operator.regexp) {\n\t\t\t\toperand.text = filterString.substring(p,nextBracketPos);\n\t\t\t\toperator.operands.push(operand);\n\t\t\t}\n\t\t\tp = nextBracketPos + 1;\n\t\t}\n\t\t\n\t\tp = nextBracketPos + 1;\n\t\tparseOperand(bracket);\n\t\t\n\t\t// Check for multiple operands\n\t\twhile(filterString.charAt(p) === \",\") {\n\t\t\tp++;\n\t\t\tif(/^[\\[\\{<\\/]/.test(filterString.substring(p))) {\n\t\t\t\tnextBracketPos = p;\n\t\t\t\tp++;\n\t\t\t\tparseOperand(filterString.charAt(nextBracketPos));\n\t\t\t} else {\n\t\t\t\tthrow \"Missing [ in filter expression\";\n\t\t\t}\n\t\t}\n\t\t\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=|\\:(\\w+))?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp = p + operation.prefix.length;\n\t\t\t\tif(match[2]) {\n\t\t\t\t\toperation.namedPrefix = match[2];\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(match[3]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[4] || match[5] || match[6]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operands: [{text: match[4] || match[5] || match[6]}]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.getFilterRunPrefixes = function() {\n\tif(!this.filterRunPrefixes) {\n\t\t$tw.Wiki.prototype.filterRunPrefixes = {};\n\t\t$tw.modules.applyMethods(\"filterrunprefix\",this.filterRunPrefixes);\n\t}\n\treturn this.filterRunPrefixes;\n}\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operands = [],\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\t$tw.utils.each(operator.operands,function(operand) {\n\t\t\t\t\tif(operand.indirect) {\n\t\t\t\t\t\toperand.value = self.getTextReference(operand.text,\"\",currTiddlerTitle);\n\t\t\t\t\t} else if(operand.variable) {\n\t\t\t\t\t\toperand.value = widget.getVariable(operand.text,{defaultValue: \"\"});\n\t\t\t\t\t} else {\n\t\t\t\t\t\toperand.value = operand.text;\n\t\t\t\t\t}\n\t\t\t\t\toperands.push(operand.value);\n\t\t\t\t});\n\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operands.length > 0 ? operands[0] : undefined,\n\t\t\t\t\t\t\toperands: operands,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tsuffixes: operator.suffixes,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\tvar filterRunPrefixes = self.getFilterRunPrefixes();\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tvar options = {wiki: self};\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn filterRunPrefixes[\"or\"](operationSubFunction, options);\n\t\t\t\tcase \"=\": // The results of the operation are pushed into the result without deduplication\n\t\t\t\t\treturn filterRunPrefixes[\"all\"](operationSubFunction, options);\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn filterRunPrefixes[\"except\"](operationSubFunction, options);\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn filterRunPrefixes[\"and\"](operationSubFunction, options);\n\t\t\t\tcase \"~\": // This operation is unioned into the result only if the main result so far is empty\n\t\t\t\t\treturn filterRunPrefixes[\"else\"](operationSubFunction, options);\n\t\t\t\tdefault: \n\t\t\t\t\tif(operation.namedPrefix && filterRunPrefixes[operation.namedPrefix]) {\n\t\t\t\t\t\treturn filterRunPrefixes[operation.namedPrefix](operationSubFunction, options);\n\t\t\t\t\t} else {\n\t\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t\tresults.clear();\n\t\t\t\t\t\t\tresults.push($tw.language.getString(\"Error/FilterRunPrefix\"));\n\t\t\t\t\t\t};\n\t\t\t\t\t}\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter: \" + filterString,function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = new $tw.utils.LinkedList();\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results.toArray();\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/indexers/backlinks-indexer.js": {
"title": "$:/core/modules/indexers/backlinks-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/backlinks-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers' backlinks\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\n\nfunction BacklinksIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nBacklinksIndexer.prototype.init = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype._getLinks = function(tiddler) {\n\tvar parser = this.wiki.parseText(tiddler.fields.type, tiddler.fields.text, {});\n\tif(parser) {\n\t\treturn this.wiki.extractLinks(parser.tree);\n\t}\n\treturn [];\n}\n\nBacklinksIndexer.prototype.update = function(updateDescriptor) {\n\tif(!this.index) {\n\t\treturn;\n\t}\n\tvar newLinks = [],\n\t oldLinks = [],\n\t self = this;\n\tif(updateDescriptor.old.exists) {\n\t\toldLinks = this._getLinks(updateDescriptor.old.tiddler);\n\t}\n\tif(updateDescriptor.new.exists) {\n\t\tnewLinks = this._getLinks(updateDescriptor.new.tiddler);\n\t}\n\n\t$tw.utils.each(oldLinks,function(link) {\n\t\tif(self.index[link]) {\n\t\t\tdelete self.index[link][updateDescriptor.old.tiddler.fields.title];\n\t\t}\n\t});\n\t$tw.utils.each(newLinks,function(link) {\n\t\tif(!self.index[link]) {\n\t\t\tself.index[link] = Object.create(null);\n\t\t}\n\t\tself.index[link][updateDescriptor.new.tiddler.fields.title] = true;\n\t});\n}\n\nBacklinksIndexer.prototype.lookup = function(title) {\n\tif(!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tvar self = this;\n\t\tthis.wiki.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self._getLinks(tiddler);\n\t\t\t$tw.utils.each(links, function(link) {\n\t\t\t\tif(!self.index[link]) {\n\t\t\t\t\tself.index[link] = Object.create(null);\n\t\t\t\t}\n\t\t\t\tself.index[link][title] = true;\n\t\t\t});\n\t\t});\n\t}\n\tif(this.index[title]) {\n\t\treturn Object.keys(this.index[title]);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nexports.BacklinksIndexer = BacklinksIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/field-indexer.js": {
"title": "$:/core/modules/indexers/field-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/field-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nvar DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH = 128;\n\nfunction FieldIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nFieldIndexer.prototype.init = function() {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH;\n\tthis.addIndexMethods();\n}\n\n// Provided for testing\nFieldIndexer.prototype.setMaxIndexedValueLength = function(length) {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = length;\n};\n\nFieldIndexer.prototype.addIndexMethods = function() {\n\tvar self = this;\n\tthis.wiki.each.byField = function(name,value) {\n\t\tvar titles = self.wiki.allTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachShadow.byField = function(name,value) {\n\t\tvar titles = self.wiki.allShadowTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachTiddlerPlusShadows.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n\tthis.wiki.eachShadowPlusTiddlers.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n};\n\n/*\nTear down and then rebuild the index as if all tiddlers have changed\n*/\nFieldIndexer.prototype.rebuild = function() {\n\t// Invalidate the index so that it will be rebuilt when it is next used\n\tthis.index = null;\n};\n\n/*\nBuild the index for a particular field\n*/\nFieldIndexer.prototype.buildIndexForField = function(name) {\n\tvar self = this;\n\t// Hashmap by field name of hashmap by field value of array of tiddler titles\n\tthis.index = this.index || Object.create(null);\n\tthis.index[name] = Object.create(null);\n\tvar baseIndex = this.index[name];\n\t// Update the index for each tiddler\n\tthis.wiki.eachTiddlerPlusShadows(function(tiddler,title) {\n\t\tif(name in tiddler.fields) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t// Skip any values above the maximum length\n\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\tbaseIndex[value] = baseIndex[value] || [];\n\t\t\t\tbaseIndex[value].push(title);\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nUpdate the index in the light of a tiddler value changing; note that the title must be identical. (Renames are handled as a separate delete and create)\nupdateDescriptor: {old: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>},new: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>}}\n*/\nFieldIndexer.prototype.update = function(updateDescriptor) {\n\tvar self = this;\n\t// Don't do anything if the index hasn't been built yet\n\tif(this.index === null) {\n\t\treturn;\n\t}\n\t// Remove the old tiddler from the index\n\tif(updateDescriptor.old.tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor.old.tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor.old.tiddler.getFieldString(name),\n\t\t\t\t\ttiddlerList = indexEntry[value];\n\t\t\t\tif(tiddlerList) {\n\t\t\t\t\tvar index = tiddlerList.indexOf(updateDescriptor.old.tiddler.fields.title);\n\t\t\t\t\tif(index !== -1) {\n\t\t\t\t\t\ttiddlerList.splice(index,1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// Add the new tiddler to the index\n\tif(updateDescriptor[\"new\"].tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor[\"new\"].tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor[\"new\"].tiddler.getFieldString(name);\n\t\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\t\tindexEntry[value] = indexEntry[value] || [];\n\t\t\t\t\tindexEntry[value].push(updateDescriptor[\"new\"].tiddler.fields.title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n// Lookup the given field returning a list of tiddler titles\nFieldIndexer.prototype.lookup = function(name,value) {\n\t// Fail the lookup if the value is too long\n\tif(value.length >= this.maxIndexedValueLength) {\n\t\treturn null;\n\t}\n\t// Update the index if it has yet to be built\n\tif(this.index === null || !this.index[name]) {\n\t\tthis.buildIndexForField(name);\n\t}\n\treturn this.index[name][value] || [];\n};\n\nexports.FieldIndexer = FieldIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/tag-indexer.js": {
"title": "$:/core/modules/indexers/tag-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/tag-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nfunction TagIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nTagIndexer.prototype.init = function() {\n\tthis.subIndexers = [\n\t\tnew TagSubIndexer(this,\"each\"),\n\t\tnew TagSubIndexer(this,\"eachShadow\"),\n\t\tnew TagSubIndexer(this,\"eachTiddlerPlusShadows\"),\n\t\tnew TagSubIndexer(this,\"eachShadowPlusTiddlers\")\n\t];\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.addIndexMethod();\n\t});\n};\n\nTagIndexer.prototype.rebuild = function() {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.rebuild();\n\t});\n};\n\nTagIndexer.prototype.update = function(updateDescriptor) {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.update(updateDescriptor);\n\t});\n};\n\nfunction TagSubIndexer(indexer,iteratorMethod) {\n\tthis.indexer = indexer;\n\tthis.iteratorMethod = iteratorMethod;\n\tthis.index = null; // Hashmap of tag title to {isSorted: bool, titles: [array]} or null if not yet initialised\n}\n\nTagSubIndexer.prototype.addIndexMethod = function() {\n\tvar self = this;\n\tthis.indexer.wiki[this.iteratorMethod].byTag = function(tag) {\n\t\treturn self.lookup(tag).slice(0);\n\t};\n};\n\nTagSubIndexer.prototype.rebuild = function() {\n\tvar self = this;\n\t// Hashmap by tag of array of {isSorted:, titles:[]}\n\tthis.index = Object.create(null);\n\t// Add all the tags\n\tthis.indexer.wiki[this.iteratorMethod](function(tiddler,title) {\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\tif(!self.index[tag]) {\n\t\t\t\tself.index[tag] = {isSorted: false, titles: [title]};\n\t\t\t} else {\n\t\t\t\tself.index[tag].titles.push(title);\n\t\t\t}\n\t\t});\t\t\n\t});\n};\n\nTagSubIndexer.prototype.update = function(updateDescriptor) {\n\tthis.index = null;\n};\n\nTagSubIndexer.prototype.lookup = function(tag) {\n\t// Update the index if it has yet to be built\n\tif(this.index === null) {\n\t\tthis.rebuild();\n\t}\n\tvar indexRecord = this.index[tag];\n\tif(indexRecord) {\n\t\tif(!indexRecord.isSorted) {\n\t\t\tif(this.indexer.wiki.sortByList) {\n\t\t\t\tindexRecord.titles = this.indexer.wiki.sortByList(indexRecord.titles,tag);\n\t\t\t}\t\t\t\n\t\t\tindexRecord.isSorted = true;\n\t\t}\n\t\treturn indexRecord.titles;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n\nexports.TagIndexer = TagIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/info/platform.js": {
"title": "$:/core/modules/info/platform.js",
"text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function(updateInfoTiddlersCallback) {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\tinfoTiddlerFields.push({title: \"$:/info/startup-timestamp\", text: $tw.utils.stringifyDate(new Date())});\n\tif($tw.browser) {\n\t\t// Document location\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\t\t\t\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t\t// Screen size\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/width\", text: window.screen.width.toString()});\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/height\", text: window.screen.height.toString()});\n \t\t// Dark mode through event listener on MediaQueryList\n \t\tvar mqList = window.matchMedia(\"(prefers-color-scheme: dark)\"),\n \t\t\tgetDarkModeTiddler = function() {return {title: \"$:/info/darkmode\", text: mqList.matches ? \"yes\" : \"no\"};};\n \t\tinfoTiddlerFields.push(getDarkModeTiddler());\n \t\tmqList.addListener(function(event) {\n \t\t\tupdateInfoTiddlersCallback([getDarkModeTiddler()]);\n \t\t});\n\t\t// Language\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/language\", text: navigator.language || \"\"});\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "info"
},
"$:/core/modules/keyboard.js": {
"title": "$:/core/modules/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n\tthis.shortcutKeysList = [], // Stores the shortcut-key descriptors\n\tthis.shortcutActionList = [], // Stores the corresponding action strings\n\tthis.shortcutParsedList = []; // Stores the parsed key descriptors\n\tthis.lookupNames = [\"shortcuts\"];\n\tthis.lookupNames.push($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\")\n\tthis.lookupNames.push($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\tthis.lookupNames.push($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\tthis.updateShortcutLists(this.getShortcutTiddlerList());\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.handleShortcutChanges(changes);\n\t});\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t$tw.utils.each(self.lookupNames,function(platformDescriptor) {\n\t\t\t\t\tlookupName(platformDescriptor);\n\t\t\t\t});\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.getEventModifierKeyDescriptor = function(event) {\n\treturn event.ctrlKey && !event.shiftKey && !event.altKey && !event.metaKey ? \"ctrl\" : \n\t\tevent.shiftKey && !event.ctrlKey && !event.altKey && !event.metaKey ? \"shift\" : \n\t\tevent.ctrlKey && event.shiftKey && !event.altKey && !event.metaKey ? \"ctrl-shift\" : \n\t\tevent.altKey && !event.shiftKey && !event.ctrlKey && !event.metaKey ? \"alt\" : \n\t\tevent.altKey && event.shiftKey && !event.ctrlKey && !event.metaKey ? \"alt-shift\" : \n\t\tevent.altKey && event.ctrlKey && !event.shiftKey && !event.metaKey ? \"ctrl-alt\" : \n\t\tevent.altKey && event.shiftKey && event.ctrlKey && !event.metaKey ? \"ctrl-alt-shift\" : \n\t\tevent.metaKey && !event.ctrlKey && !event.shiftKey && !event.altKey ? \"meta\" : \n\t\tevent.metaKey && event.ctrlKey && !event.shiftKey && !event.altKey ? \"meta-ctrl\" :\n\t\tevent.metaKey && event.ctrlKey && event.shiftKey && !event.altKey ? \"meta-ctrl-shift\" :\n\t\tevent.metaKey && event.ctrlKey & event.shiftKey && event.altKey ? \"meta-ctrl-alt-shift\" : \"normal\";\n};\n\nKeyboardManager.prototype.getShortcutTiddlerList = function() {\n\treturn $tw.wiki.getTiddlersWithTag(\"$:/tags/KeyboardShortcut\");\n};\n\nKeyboardManager.prototype.updateShortcutLists = function(tiddlerList) {\n\tthis.shortcutTiddlers = tiddlerList;\n\tfor(var i=0; i<tiddlerList.length; i++) {\n\t\tvar title = tiddlerList[i],\n\t\t\ttiddlerFields = $tw.wiki.getTiddler(title).fields;\n\t\tthis.shortcutKeysList[i] = tiddlerFields.key !== undefined ? tiddlerFields.key : undefined;\n\t\tthis.shortcutActionList[i] = tiddlerFields.text;\n\t\tthis.shortcutParsedList[i] = this.shortcutKeysList[i] !== undefined ? this.parseKeyDescriptors(this.shortcutKeysList[i]) : undefined;\n\t}\n};\n\nKeyboardManager.prototype.handleKeydownEvent = function(event) {\n\tvar key, action;\n\tfor(var i=0; i<this.shortcutTiddlers.length; i++) {\n\t\tif(this.shortcutParsedList[i] !== undefined && this.checkKeyDescriptors(event,this.shortcutParsedList[i])) {\n\t\t\tkey = this.shortcutParsedList[i];\n\t\t\taction = this.shortcutActionList[i];\n\t\t}\n\t}\n\tif(key !== undefined) {\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\t$tw.rootWidget.invokeActionString(action,$tw.rootWidget);\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.detectNewShortcuts = function(changedTiddlers) {\n\tvar shortcutConfigTiddlers = [],\n\t\thandled = false;\n\t$tw.utils.each(this.lookupNames,function(platformDescriptor) {\n\t\tvar descriptorString = \"$:/config/\" + platformDescriptor + \"/\";\n\t\tObject.keys(changedTiddlers).forEach(function(configTiddler) {\n\t\t\tvar configString = configTiddler.substr(0, configTiddler.lastIndexOf(\"/\") + 1);\n\t\t\tif(configString === descriptorString) {\n\t\t\t\tshortcutConfigTiddlers.push(configTiddler);\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t});\n\t});\n\tif(handled) {\n\t\treturn $tw.utils.hopArray(changedTiddlers,shortcutConfigTiddlers);\n\t} else {\n\t\treturn false;\n\t}\n};\n\nKeyboardManager.prototype.handleShortcutChanges = function(changedTiddlers) {\n\tvar newList = this.getShortcutTiddlerList();\n\tvar hasChanged = $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers) ? true :\n\t\t($tw.utils.hopArray(changedTiddlers,newList) ? true :\n\t\t(this.detectNewShortcuts(changedTiddlers))\n\t);\n\t// Re-cache shortcuts if something changed\n\tif(hasChanged) {\n\t\tthis.updateShortcutLists(newList);\n\t}\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/language.js": {
"title": "$:/core/modules/language.js",
"text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/macros/changecount.js": {
"title": "$:/core/modules/macros/changecount.js",
"text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/contrastcolour.js": {
"title": "$:/core/modules/macros/contrastcolour.js",
"text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/csvtiddlers.js": {
"title": "$:/core/modules/macros/csvtiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/displayshortcuts.js": {
"title": "$:/core/modules/macros/displayshortcuts.js",
"text": "/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddler.js": {
"title": "$:/core/modules/macros/jsontiddler.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddlers.js": {
"title": "$:/core/modules/macros/jsontiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"spaces\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,spaces) {\n\treturn this.wiki.getTiddlersAsJson(filter,$tw.utils.parseInt(spaces));\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/makedatauri.js": {
"title": "$:/core/modules/macros/makedatauri.js",
"text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"},\n\t{name: \"_canonical_uri\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type,_canonical_uri) {\n\treturn $tw.utils.makeDataUri(text,type,_canonical_uri);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/now.js": {
"title": "$:/core/modules/macros/now.js",
"text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/qualify.js": {
"title": "$:/core/modules/macros/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/resolvepath.js": {
"title": "$:/core/modules/macros/resolvepath.js",
"text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/unusedtitle.js": {
"title": "$:/core/modules/macros/unusedtitle.js",
"text": "/*\\\ntitle: $:/core/modules/macros/unusedtitle.js\ntype: application/javascript\nmodule-type: macro\nMacro to return a new title that is unused in the wiki. It can be given a name as a base.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"unusedtitle\";\n\nexports.params = [\n\t{name: \"baseName\"},\n\t{name: \"options\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(baseName, options) {\n\tif(!baseName) {\n\t\tbaseName = $tw.language.getString(\"DefaultNewTiddlerTitle\");\n\t}\n\treturn this.wiki.generateNewTitle(baseName, options);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/version.js": {
"title": "$:/core/modules/macros/version.js",
"text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/parsers/audioparser.js": {
"title": "$:/core/modules/parsers/audioparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/binaryparser.js": {
"title": "$:/core/modules/parsers/binaryparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/binaryparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe binary parser parses a binary tiddler into a warning message and download link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar BinaryParser = function(type,text,options) {\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on binary tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!title\"}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to external or internal data URI\n\tif(options._canonical_uri) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: options._canonical_uri\n\t\t};\n\t} else if(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/octet-stream\"] = BinaryParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/csvparser.js": {
"title": "$:/core/modules/parsers/csvparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/htmlparser.js": {
"title": "$:/core/modules/parsers/htmlparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/imageparser.js": {
"title": "$:/core/modules/parsers/imageparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t};\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/webp\"] = ImageParser;\nexports[\"image/heic\"] = ImageParser;\nexports[\"image/heif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/utils/parseutils.js": {
"title": "$:/core/modules/utils/parseutils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{(.+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/parsers/pdfparser.js": {
"title": "$:/core/modules/parsers/pdfparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"embed\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/textparser.js": {
"title": "$:/core/modules/parsers/textparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/videoparser.js": {
"title": "$:/core/modules/parsers/videoparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/ogg\"] = VideoParser;\nexports[\"video/webm\"] = VideoParser;\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/dash.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"–\" : \"—\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/entity.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: ©\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/extlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/heading.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/html.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/html.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.slice(1).indexOf(\"$\") !== -1) {\n\t\treturn null;\n\t}\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/image.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/image.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/import.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/import.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/import.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for importing variable definitions\n\n```\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"import\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\import[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the filter terminated by a line break\n\tvar reMatch = /(.*)(\\r?\\n)|$/mg;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\tthis.parser.pos = reMatch.lastIndex;\n\t// Parse tree nodes to return\n\treturn [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: match[1]}\n\t\t},\n\t\tchildren: []\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/list.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/list.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"div\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params,\n\t\tisMacroDefinition: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/rules.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/syslink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/table.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/table.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/whitespace.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/whitespace.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/wikiparser.js": {
"title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = false;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t// Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex));\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index));\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex));\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar target;\n\tif(type === \"only\") {\n\t\ttarget = true;\n\t} else if(type === \"except\") {\n\t\ttarget = false;\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif((names.indexOf(ruleArray[t].rule.name) === -1) === target) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/pluginswitcher.js": {
"title": "$:/core/modules/pluginswitcher.js",
"text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Read the plugin info for the incoming plugins\n\tvar changes = $tw.wiki.readPluginInfo(plugins);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/saver-handler.js": {
"title": "$:/core/modules/saver-handler.js",
"text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.preloadDirty = options.preloadDirty || [];\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(self.preloadDirty,function(title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t});\n\t\tthis.numChanges = filteredChanges.length;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\";\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && ($tw.config.disableAutoSave || this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\")) {\n\t\treturn false;\n\t}\n\tvar\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tvar self = this;\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t\t$tw.utils.each($tw.windows,function(win) {\n\t\t\t$tw.utils.toggleClass(win.document.body,\"tc-dirty\",self.isDirty());\n\t\t});\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/savers/andtidwiki.js": {
"title": "$:/core/modules/savers/andtidwiki.js",
"text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback,options) {\n\tvar filename = options && options.variables ? options.variables.filename : null;\n\tif (method === \"download\") {\n\t\t// Support download\n\t\tif (window.twi.saveDownload) {\n\t\t\ttry {\n\t\t\t\twindow.twi.saveDownload(text,filename);\n\t\t\t} catch(err) {\n\t\t\t\tif (err.message === \"Method not found\") {\n\t\t\t\t\twindow.twi.saveDownload(text);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tvar link = document.createElement(\"a\");\n\t\t\tlink.setAttribute(\"href\",\"data:text/plain,\" + encodeURIComponent(text));\n\t\t\tif (filename) {\n\t\t\t link.setAttribute(\"download\",filename);\n\t\t\t}\n\t\t\tdocument.body.appendChild(link);\n\t\t\tlink.click();\n\t\t\tdocument.body.removeChild(link);\n\t\t}\n\t} else if (window.twi.saveWiki) {\n\t\t// Direct save in Tiddloid\n\t\twindow.twi.saveWiki(text);\n\t} else {\n\t\t// Get the pathname of this document\n\t\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t\t// Strip the file://\n\t\tif(pathname.indexOf(\"file://\") === 0) {\n\t\t\tpathname = pathname.substr(7);\n\t\t}\n\t\t// Strip any query or location part\n\t\tvar p = pathname.indexOf(\"?\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\tp = pathname.indexOf(\"#\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\t// Save the file\n\t\twindow.twi.saveFile(pathname,text);\n\t}\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/beaker.js": {
"title": "$:/core/modules/savers/beaker.js",
"text": "/*\\\ntitle: $:/core/modules/savers/beaker.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Beaker browser's (https://beakerbrowser.com) Dat protocol (https://datproject.org/)\nCompatible with beaker >= V0.7.2\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar BeakerSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nBeakerSaver.prototype.save = function(text,method,callback) {\n\tvar dat = new DatArchive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Beaker Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Beaker Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nBeakerSaver.prototype.info = {\n\tname: \"beaker\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.DatArchive && location.protocol===\"dat:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new BeakerSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/custom.js": {
"title": "$:/core/modules/savers/custom.js",
"text": "/*\\\ntitle: $:/core/modules/savers/custom.js\ntype: application/javascript\nmodule-type: saver\n\nLooks for `window.$tw.customSaver` first on the current window, then\non the parent window (of an iframe). If present, the saver must define\n\tsave: function(text,method,callback) { ... }\nand the saver may define\n\tpriority: number\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar findSaver = function(window) {\n\ttry {\n\t\treturn window && window.$tw && window.$tw.customSaver;\n\t} catch (err) {\n\t\t// Catching the exception is the most reliable way to detect cross-origin iframe errors.\n\t\t// For example, instead of saying that `window.parent.$tw` is undefined, Firefox will throw\n\t\t// Uncaught DOMException: Permission denied to access property \"$tw\" on cross-origin object\n\t\tconsole.log({ msg: \"custom saver is disabled\", reason: err });\n\t\treturn null;\n\t}\n}\nvar saver = findSaver(window) || findSaver(window.parent) || {};\n\nvar CustomSaver = function(wiki) {\n};\n\nCustomSaver.prototype.save = function(text,method,callback) {\n\treturn saver.save(text, method, callback);\n};\n\n/*\nInformation about this saver\n*/\nCustomSaver.prototype.info = {\n\tname: \"custom\",\n\tpriority: saver.priority || 4000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!(saver.save);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new CustomSaver(wiki);\n};\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/download.js": {
"title": "$:/core/modules/savers/download.js",
"text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = decodeURIComponent(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/fsosaver.js": {
"title": "$:/core/modules/savers/fsosaver.js",
"text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitea.js": {
"title": "$:/core/modules/savers/gitea.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitea.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the gitea\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GiteaSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGiteaSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/Gitea/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"Gitea\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/Gitea/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/Gitea/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/Gitea/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/Gitea/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/Gitea/ServerURL\") || \"https://gitea\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"token \" + password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar use_put = true;\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(sha === \"\"){\n\t\t\t\t\tuse_put = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: endpoint + \"/repos/\" + repo + \"/branches/\" + branch,\n\t\t\t\ttype: \"GET\",\n\t\t\t\theaders: headers,\n\t\t\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\t\t\tif(xhr.status === 404) {\n\t\t\t\t\t\tcallback(\"Please ensure the branch in the Gitea repo exists\");\n\t\t\t\t\t}else{\n\t\t\t\t\t\tdata[\"branch\"] = branch;\n\t\t\t\t\t\tself.upload(uri + filename, use_put?\"PUT\":\"POST\", headers, data, callback);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\nGiteaSaver.prototype.upload = function(uri,method,headers,data,callback) {\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: method,\n\t\theaders: headers,\n\t\tdata: JSON.stringify(data),\n\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\tcallback(null);\n\t\t}\n\t});\n};\n\n/*\nInformation about this saver\n*/\nGiteaSaver.prototype.info = {\n\tname: \"Gitea\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GiteaSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/github.js": {
"title": "$:/core/modules/savers/github.js",
"text": "/*\\\ntitle: $:/core/modules/savers/github.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitHub v3 REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitHubSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitHubSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitHub/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"github\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitHub/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitHub/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitHub/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitHub/Branch\") || \"main\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitHub/ServerURL\") || \"https://api.github.com\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/vnd.github.v3+json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password),\n\t\t\t\"If-None-Match\": \"\"\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a PUT request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + filename,\n\t\t\t\ttype: \"PUT\",\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitHubSaver.prototype.info = {\n\tname: \"github\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitHubSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitlab.js": {
"title": "$:/core/modules/savers/gitlab.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitlab.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitLab REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: true */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitLabSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitLabSaver.prototype.save = function(text,method,callback) {\n\t/* See https://docs.gitlab.com/ee/api/repository_files.html */\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitLab/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"gitlab\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitLab/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitLab/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitLab/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitLab/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitLab/ServerURL\") || \"https://gitlab.com/api/v4\",\n\t\theaders = {\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Private-Token\": password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/projects/\" + encodeURIComponent(repo) + \"/repository/\";\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri + \"tree/?path=\" + encodeURIComponent(path.replace(/^\\/+|\\/$/g, '')) + \"&branch=\" + encodeURIComponent(branch.replace(/^\\/+|\\/$/g, '')),\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar requestType = \"POST\";\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\trequestType = \"PUT\";\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tcommit_message: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: text,\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + \"files/\" + encodeURIComponent(path.replace(/^\\/+/, '') + filename),\n\t\t\t\ttype: requestType,\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitLabSaver.prototype.info = {\n\tname: \"gitlab\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitLabSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/hyperdrive.js": {
"title": "$:/core/modules/savers/hyperdrive.js",
"text": "/*\\\ntitle: $:/core/modules/savers/hyperdrive.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Hyperdrive Protocol (https://hypercore-protocol.org/#hyperdrive) Beaker browser beta-1.0 and later (https://beakerbrowser.com)\nCompatible with beaker >= V1.0.0\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar HyperdriveSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nHyperdriveSaver.prototype.save = function(text,method,callback) {\n\tvar dat = beaker.hyperdrive.drive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Hyperdrive Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Hyperdrive Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nHyperdriveSaver.prototype.info = {\n\tname: \"beaker-1.x\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.beaker && !!beaker.hyperdrive && location.protocol===\"hyper:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new HyperdriveSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/manualdownload.js": {
"title": "$:/core/modules/savers/manualdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/msdownload.js": {
"title": "$:/core/modules/savers/msdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/put.js": {
"title": "$:/core/modules/savers/put.js",
"text": "/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRetrieve ETag if available\n*/\nvar retrieveETag = function(self) {\n\tvar headers = {\n\t\tAccept: \"*/*;charset=UTF-8\"\n\t};\n\t$tw.utils.httpRequest({\n\t\turl: self.uri(),\n\t\ttype: \"HEAD\",\n\t\theaders: headers,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvar etag = xhr.getResponseHeader(\"ETag\");\n\t\t\tif(!etag) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tself.etag = etag.replace(/^W\\//,\"\");\n\t\t}\n\t});\n};\n\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err,data,xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\tretrieveETag(this);\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text,method,callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = {\n\t\t\"Content-Type\": \"text/html;charset=UTF-8\"\n\t};\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\t// response is textual: \"XMLHttpRequest error code: 412\"\n\t\t\t\tvar status = Number(err.substring(err.indexOf(':') + 2, err.length))\n\t\t\t\tif(status === 412) { // edit conflict\n\t\t\t\t\tvar message = $tw.language.getString(\"Error/EditConflict\");\n\t\t\t\t\tcallback(message);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(err); // fail\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tif(self.etag == null) {\n\t\t\t\t\tretrieveETag(self);\n\t\t\t\t}\n\t\t\t\tcallback(null); // success\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyfox.js": {
"title": "$:/core/modules/savers/tiddlyfox.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyie.js": {
"title": "$:/core/modules/savers/tiddlyie.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/twedit.js": {
"title": "$:/core/modules/savers/twedit.js",
"text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/upload.js": {
"title": "$:/core/modules/savers/upload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/server/authenticators/basic.js": {
"title": "$:/core/modules/server/authenticators/basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/basic.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for WWW basic authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\");\n}\n\nfunction BasicAuthenticator(server) {\n\tthis.server = server;\n\tthis.credentialsData = [];\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nBasicAuthenticator.prototype.init = function() {\n\t// Read the credentials data\n\tthis.credentialsFilepath = this.server.get(\"credentials\");\n\tif(this.credentialsFilepath) {\n\t\tvar resolveCredentialsFilepath = path.resolve(this.server.boot.wikiPath,this.credentialsFilepath);\n\t\tif(fs.existsSync(resolveCredentialsFilepath) && !fs.statSync(resolveCredentialsFilepath).isDirectory()) {\n\t\t\tvar credentialsText = fs.readFileSync(resolveCredentialsFilepath,\"utf8\"),\n\t\t\t\tcredentialsData = $tw.utils.parseCsvStringWithHeader(credentialsText);\n\t\t\tif(typeof credentialsData === \"string\") {\n\t\t\t\treturn \"Error: \" + credentialsData + \" reading credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t\t} else {\n\t\t\t\tthis.credentialsData = credentialsData;\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"Error: Unable to load user credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t}\n\t}\n\t// Add the hardcoded username and password if specified\n\tif(this.server.get(\"username\") && this.server.get(\"password\")) {\n\t\tthis.credentialsData = this.credentialsData || [];\n\t\tthis.credentialsData.push({\n\t\t\tusername: this.server.get(\"username\"),\n\t\t\tpassword: this.server.get(\"password\")\n\t\t});\n\t}\n\treturn this.credentialsData.length > 0;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nBasicAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Extract the incoming username and password from the request\n\tvar header = request.headers.authorization || \"\";\n\tif(!header && state.allowAnon) {\n\t\t// If there's no header and anonymous access is allowed then we don't set authenticatedUsername\n\t\treturn true;\n\t}\n\tvar token = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tincomingUsername = parts[0],\n\t\tincomingPassword = parts[1];\n\t// Check that at least one of the credentials matches\n\tvar matchingCredentials = this.credentialsData.find(function(credential) {\n\t\treturn credential.username === incomingUsername && credential.password === incomingPassword;\n\t});\n\tif(matchingCredentials) {\n\t\t// If so, add the authenticated username to the request state\n\t\tstate.authenticatedUsername = incomingUsername;\n\t\treturn true;\n\t} else {\n\t\t// If not, return an authentication challenge\n\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t\treturn false;\n\t}\n};\n\nexports.AuthenticatorClass = BasicAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/authenticators/header.js": {
"title": "$:/core/modules/server/authenticators/header.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/header.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for trusted header authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction HeaderAuthenticator(server) {\n\tthis.server = server;\n\tthis.header = server.get(\"authenticated-user-header\") ? server.get(\"authenticated-user-header\").toLowerCase() : undefined;\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nHeaderAuthenticator.prototype.init = function() {\n\treturn !!this.header;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nHeaderAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Otherwise, authenticate as the username in the specified header\n\tvar username = request.headers[this.header];\n\tif(!username && !state.allowAnon) {\n\t\tresponse.writeHead(401,\"Authorization header required to login to '\" + state.server.servername + \"'\");\n\t\tresponse.end();\n\t\treturn false;\n\t} else {\n\t\t// authenticatedUsername will be undefined for anonymous users\n\t\tstate.authenticatedUsername = username;\n\t\treturn true;\n\t}\n};\n\nexports.AuthenticatorClass = HeaderAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/routes/delete-tiddler.js": {
"title": "$:/core/modules/server/routes/delete-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/delete-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nDELETE /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"DELETE\";\n\nexports.path = /^\\/bags\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]);\n\tstate.wiki.deleteTiddler(title);\n\tresponse.writeHead(204, \"OK\", {\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-favicon.js": {
"title": "$:/core/modules/server/routes/get-favicon.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-favicon.js\ntype: application/javascript\nmodule-type: route\n\nGET /favicon.ico\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/favicon.ico$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\tresponse.end(buffer,\"base64\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-file.js": {
"title": "$:/core/modules/server/routes/get-file.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-file.js\ntype: application/javascript\nmodule-type: route\n\nGET /files/:filepath\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/files\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar path = require(\"path\"),\n\t\tfs = require(\"fs\"),\n\t\tutil = require(\"util\"),\n\t\tsuppliedFilename = decodeURIComponent(state.params[0]),\n\t\tfilename = path.resolve(state.boot.wikiPath,\"files\",suppliedFilename),\n\t\textension = path.extname(filename);\n\tfs.readFile(filename,function(err,content) {\n\t\tvar status,content,type = \"text/plain\";\n\t\tif(err) {\n\t\t\tconsole.log(\"Error accessing file \" + filename + \": \" + err.toString());\n\t\t\tstatus = 404;\n\t\t\tcontent = \"File '\" + suppliedFilename + \"' not found\";\n\t\t} else {\n\t\t\tstatus = 200;\n\t\t\tcontent = content;\n\t\t\ttype = ($tw.config.fileExtensionInfo[extension] ? $tw.config.fileExtensionInfo[extension].type : \"application/octet-stream\");\n\t\t}\n\t\tresponse.writeHead(status,{\n\t\t\t\"Content-Type\": type\n\t\t});\n\t\tresponse.end(content);\n\t});\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-index.js": {
"title": "$:/core/modules/server/routes/get-index.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-index.js\ntype: application/javascript\nmodule-type: route\n\nGET /\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar zlib = require(\"zlib\");\n\nexports.method = \"GET\";\n\nexports.path = /^\\/$/;\n\nexports.handler = function(request,response,state) {\n\tvar acceptEncoding = request.headers[\"accept-encoding\"];\n\tif(!acceptEncoding) {\n\t\tacceptEncoding = \"\";\n\t}\n\tvar text = state.wiki.renderTiddler(state.server.get(\"root-render-type\"),state.server.get(\"root-tiddler\")),\n\t\tresponseHeaders = {\n\t\t\"Content-Type\": state.server.get(\"root-serve-type\")\n\t};\n\t/*\n\tIf the gzip=yes flag for `listen` is set, check if the user agent permits\n\tcompression. If so, compress our response. Note that we use the synchronous\n\tfunctions from zlib to stay in the imperative style. The current `Server`\n\tdoesn't depend on this, and we may just as well use the async versions.\n\t*/\n\tif(state.server.enableGzip) {\n\t\tif (/\\bdeflate\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"deflate\";\n\t\t\ttext = zlib.deflateSync(text);\n\t\t} else if (/\\bgzip\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"gzip\";\n\t\t\ttext = zlib.gzipSync(text);\n\t\t}\n\t}\n\tresponse.writeHead(200,responseHeaders);\n\tresponse.end(text);\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-login-basic.js": {
"title": "$:/core/modules/server/routes/get-login-basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-login-basic.js\ntype: application/javascript\nmodule-type: route\n\nGET /login-basic -- force a Basic Authentication challenge\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/login-basic$/;\n\nexports.handler = function(request,response,state) {\n\tif(!state.authenticatedUsername) {\n\t\t// Challenge if there's no username\n\t\tresponse.writeHead(401,{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\t\t\n\t} else {\n\t\t// Redirect to the root wiki if login worked\n\t\tresponse.writeHead(302,{\n\t\t\tLocation: \"/\"\n\t\t});\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-status.js": {
"title": "$:/core/modules/server/routes/get-status.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-status.js\ntype: application/javascript\nmodule-type: route\n\nGET /status\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/status$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar text = JSON.stringify({\n\t\tusername: state.authenticatedUsername || state.server.get(\"anon-username\") || \"\",\n\t\tanonymous: !state.authenticatedUsername,\n\t\tread_only: !state.server.isAuthorized(\"writers\",state.authenticatedUsername),\n\t\tspace: {\n\t\t\trecipe: \"default\"\n\t\t},\n\t\ttiddlywiki_version: $tw.version\n\t});\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler-html.js": {
"title": "$:/core/modules/server/routes/get-tiddler-html.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler-html.js\ntype: application/javascript\nmodule-type: route\n\nGET /:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/([^\\/]+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar renderType = tiddler.getFieldString(\"_render_type\"),\n\t\t\trenderTemplate = tiddler.getFieldString(\"_render_template\");\n\t\t// Tiddler fields '_render_type' and '_render_template' overwrite\n\t\t// system wide settings for render type and template\n\t\tif(state.wiki.isSystemTiddler(title)) {\n\t\t\trenderType = renderType || state.server.get(\"system-tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"system-tiddler-render-template\");\n\t\t} else {\n\t\t\trenderType = renderType || state.server.get(\"tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"tiddler-render-template\");\n\t\t}\n\t\tvar text = state.wiki.renderTiddler(renderType,renderTemplate,{parseAsInline: true, variables: {currentTiddler: title}});\n\t\t// Naughty not to set a content-type, but it's the easiest way to ensure the browser will see HTML pages as HTML, and accept plain text tiddlers as CSS or JS\n\t\tresponse.writeHead(200);\n\t\tresponse.end(text,\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler.js": {
"title": "$:/core/modules/server/routes/get-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title),\n\t\ttiddlerFields = {},\n\t\tknownFields = [\n\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t];\n\tif(tiddler) {\n\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\ttiddlerFields[name] = value;\n\t\t\t} else {\n\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t}\n\t\t});\n\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\ttiddlerFields.bag = \"default\";\n\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddlers-json.js": {
"title": "$:/core/modules/server/routes/get-tiddlers-json.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddlers-json.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers.json?filter=<filter>\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_FILTER = \"[all[tiddlers]!is[system]sort[title]]\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers.json$/;\n\nexports.handler = function(request,response,state) {\n\tvar filter = state.queryParameters.filter || DEFAULT_FILTER;\n\tif(state.wiki.getTiddlerText(\"$:/config/Server/AllowAllExternalFilters\") !== \"yes\") {\n\t\tif(state.wiki.getTiddlerText(\"$:/config/Server/ExternalFilters/\" + filter) !== \"yes\") {\n\t\t\tconsole.log(\"Blocked attempt to GET /recipes/default/tiddlers.json with filter: \" + filter);\n\t\t\tresponse.writeHead(403);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\tif(state.wiki.getTiddlerText(\"$:/config/SyncSystemTiddlersFromServer\") === \"no\") {\n\t\tfilter += \"+[!is[system]]\";\n\t}\n\tvar excludeFields = (state.queryParameters.exclude || \"text\").split(\",\"),\n\t\ttitles = state.wiki.filterTiddlers(filter);\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar tiddlers = [];\n\t$tw.utils.each(titles,function(title) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tvar tiddlerFields = tiddler.getFieldStrings({exclude: excludeFields});\n\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\ttiddlers.push(tiddlerFields);\n\t\t}\n\t});\n\tvar text = JSON.stringify(tiddlers);\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/put-tiddler.js": {
"title": "$:/core/modules/server/routes/put-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/put-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nPUT /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"PUT\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\tfields = JSON.parse(state.data);\n\t// Pull up any subfields in the `fields` object\n\tif(fields.fields) {\n\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\tfields[name] = field;\n\t\t});\n\t\tdelete fields.fields;\n\t}\n\t// Remove any revision field\n\tif(fields.revision) {\n\t\tdelete fields.revision;\n\t}\n\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\tresponse.writeHead(204, \"OK\",{\n\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/server.js": {
"title": "$:/core/modules/server/server.js",
"text": "/*\\\ntitle: $:/core/modules/server/server.js\ntype: application/javascript\nmodule-type: library\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\tquerystring = require(\"querystring\");\n}\n\n/*\nA simple HTTP server with regexp-based routes\noptions: variables - optional hashmap of variables to set (a misnomer - they are really constant parameters)\n\t\t routes - optional array of routes to use\n\t\t wiki - reference to wiki object\n*/\nfunction Server(options) {\n\tvar self = this;\n\tthis.routes = options.routes || [];\n\tthis.authenticators = options.authenticators || [];\n\tthis.wiki = options.wiki;\n\tthis.boot = options.boot || $tw.boot;\n\tthis.servername = $tw.utils.transliterateToSafeASCII(this.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\");\n\t// Initialise the variables\n\tthis.variables = $tw.utils.extend({},this.defaultVariables);\n\tif(options.variables) {\n\t\tfor(var variable in options.variables) {\n\t\t\tif(options.variables[variable]) {\n\t\t\t\tthis.variables[variable] = options.variables[variable];\n\t\t\t}\n\t\t}\t\t\n\t}\n\t$tw.utils.extend({},this.defaultVariables,options.variables);\n\t// Initialise CSRF\n\tthis.csrfDisable = this.get(\"csrf-disable\") === \"yes\";\n\t// Initialize Gzip compression\n\tthis.enableGzip = this.get(\"gzip\") === \"yes\";\n\t// Initialise authorization\n\tvar authorizedUserName = (this.get(\"username\") && this.get(\"password\")) ? this.get(\"username\") : \"(anon)\";\n\tthis.authorizationPrincipals = {\n\t\treaders: (this.get(\"readers\") || authorizedUserName).split(\",\").map($tw.utils.trim),\n\t\twriters: (this.get(\"writers\") || authorizedUserName).split(\",\").map($tw.utils.trim)\n\t}\n\t// Load and initialise authenticators\n\t$tw.modules.forEachModuleOfType(\"authenticator\", function(title,authenticatorDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addAuthenticator(authenticatorDefinition.AuthenticatorClass);\n\t});\n\t// Load route handlers\n\t$tw.modules.forEachModuleOfType(\"route\", function(title,routeDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addRoute(routeDefinition);\n\t});\n\t// Initialise the http vs https\n\tthis.listenOptions = null;\n\tthis.protocol = \"http\";\n\tvar tlsKeyFilepath = this.get(\"tls-key\"),\n\t\ttlsCertFilepath = this.get(\"tls-cert\");\n\tif(tlsCertFilepath && tlsKeyFilepath) {\n\t\tthis.listenOptions = {\n\t\t\tkey: fs.readFileSync(path.resolve(this.boot.wikiPath,tlsKeyFilepath),\"utf8\"),\n\t\t\tcert: fs.readFileSync(path.resolve(this.boot.wikiPath,tlsCertFilepath),\"utf8\")\n\t\t};\n\t\tthis.protocol = \"https\";\n\t}\n\tthis.transport = require(this.protocol);\n}\n\nServer.prototype.defaultVariables = {\n\tport: \"8080\",\n\thost: \"127.0.0.1\",\n\t\"root-tiddler\": \"$:/core/save/all\",\n\t\"root-render-type\": \"text/plain\",\n\t\"root-serve-type\": \"text/html\",\n\t\"tiddler-render-type\": \"text/html\",\n\t\"tiddler-render-template\": \"$:/core/templates/server/static.tiddler.html\",\n\t\"system-tiddler-render-type\": \"text/plain\",\n\t\"system-tiddler-render-template\": \"$:/core/templates/wikified-tiddler\",\n\t\"debug-level\": \"none\",\n\t\"gzip\": \"no\"\n};\n\nServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nServer.prototype.addAuthenticator = function(AuthenticatorClass) {\n\t// Instantiate and initialise the authenticator\n\tvar authenticator = new AuthenticatorClass(this),\n\t\tresult = authenticator.init();\n\tif(typeof result === \"string\") {\n\t\t$tw.utils.error(\"Error: \" + result);\n\t} else if(result) {\n\t\t// Only use the authenticator if it initialised successfully\n\t\tthis.authenticators.push(authenticator);\n\t}\n};\n\nServer.prototype.findMatchingRoute = function(request,state) {\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(state.pathPrefix) {\n\t\t\tif(pathname.substr(0,state.pathPrefix.length) === state.pathPrefix) {\n\t\t\t\tpathname = pathname.substr(state.pathPrefix.length) || \"/\";\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nServer.prototype.methodMappings = {\n\t\"GET\": \"readers\",\n\t\"OPTIONS\": \"readers\",\n\t\"HEAD\": \"readers\",\n\t\"PUT\": \"writers\",\n\t\"POST\": \"writers\",\n\t\"DELETE\": \"writers\"\n};\n\n/*\nCheck whether a given user is authorized for the specified authorizationType (\"readers\" or \"writers\"). Pass null or undefined as the username to check for anonymous access\n*/\nServer.prototype.isAuthorized = function(authorizationType,username) {\n\tvar principals = this.authorizationPrincipals[authorizationType] || [];\n\treturn principals.indexOf(\"(anon)\") !== -1 || (username && (principals.indexOf(\"(authenticated)\") !== -1 || principals.indexOf(username) !== -1));\n}\n\nServer.prototype.requestHandler = function(request,response,options) {\n\toptions = options || {};\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = options.wiki || self.wiki;\n\tstate.boot = options.boot || self.boot;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\tstate.queryParameters = querystring.parse(state.urlInfo.query);\n\tstate.pathPrefix = options.pathPrefix || this.get(\"path-prefix\") || \"\";\n\t// Get the principals authorized to access this resource\n\tvar authorizationType = this.methodMappings[request.method] || \"readers\";\n\t// Check for the CSRF header if this is a write\n\tif(!this.csrfDisable && authorizationType === \"writers\" && request.headers[\"x-requested-with\"] !== \"TiddlyWiki\") {\n\t\tresponse.writeHead(403,\"'X-Requested-With' header required to login to '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\t\t\n\t}\n\t// Check whether anonymous access is granted\n\tstate.allowAnon = this.isAuthorized(authorizationType,null);\n\t// Authenticate with the first active authenticator\n\tif(this.authenticators.length > 0) {\n\t\tif(!this.authenticators[0].authenticateRequest(request,response,state)) {\n\t\t\t// Bail if we failed (the authenticator will have sent the response)\n\t\t\treturn;\n\t\t}\t\t\n\t}\n\t// Authorize with the authenticated username\n\tif(!this.isAuthorized(authorizationType,state.authenticatedUsername)) {\n\t\tresponse.writeHead(401,\"'\" + state.authenticatedUsername + \"' is not authorized to access '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Optionally output debug info\n\tif(self.get(\"debug-level\") !== \"none\") {\n\t\tconsole.log(\"Request path:\",JSON.stringify(state.urlInfo));\n\t\tconsole.log(\"Request headers:\",JSON.stringify(request.headers));\n\t\tconsole.log(\"authenticatedUsername:\",state.authenticatedUsername);\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Receive the request body if necessary and hand off to the route handler\n\tif(route.bodyFormat === \"stream\" || request.method === \"GET\" || request.method === \"HEAD\") {\n\t\t// Let the route handle the request stream itself\n\t\troute.handler(request,response,state);\n\t} else if(route.bodyFormat === \"string\" || !route.bodyFormat) {\n\t\t// Set the encoding for the incoming request\n\t\trequest.setEncoding(\"utf8\");\n\t\tvar data = \"\";\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata += chunk.toString();\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = data;\n\t\t\troute.handler(request,response,state);\n\t\t});\n\t} else if(route.bodyFormat === \"buffer\") {\n\t\tvar data = [];\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata.push(chunk);\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = Buffer.concat(data);\n\t\t\troute.handler(request,response,state);\n\t\t})\n\t} else {\n\t\tresponse.writeHead(400,\"Invalid bodyFormat \" + route.bodyFormat + \" in route \" + route.method + \" \" + route.path.source);\n\t\tresponse.end();\n\t}\n};\n\n/*\nListen for requests\nport: optional port number (falls back to value of \"port\" variable)\nhost: optional host address (falls back to value of \"host\" variable)\nprefix: optional prefix (falls back to value of \"path-prefix\" variable)\n*/\nServer.prototype.listen = function(port,host,prefix) {\n\tvar self = this;\n\t// Handle defaults for port and host\n\tport = port || this.get(\"port\");\n\thost = host || this.get(\"host\");\n\tprefix = prefix || this.get(\"path-prefix\") || \"\";\n\t// Check for the port being a string and look it up as an environment variable\n\tif(parseInt(port,10).toString() !== port) {\n\t\tport = process.env[port] || 8080;\n\t}\n\t// Warn if required plugins are missing\n\tif(!this.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !this.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\t// Create the server\n\tvar server;\n\tif(this.listenOptions) {\n\t\tserver = this.transport.createServer(this.listenOptions,this.requestHandler.bind(this));\n\t} else {\n\t\tserver = this.transport.createServer(this.requestHandler.bind(this));\n\t}\n\t// Display the port number after we've started listening (the port number might have been specified as zero, in which case we will get an assigned port)\n\tserver.on(\"listening\",function() {\n\t\tvar address = server.address();\n\t\t$tw.utils.log(\"Serving on \" + self.protocol + \"://\" + address.address + \":\" + address.port + prefix,\"brown/orange\");\n\t\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t});\n\t// Listen\n\treturn server.listen(port,host);\n};\n\nexports.Server = Server;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/browser-messaging.js": {
"title": "$:/core/modules/browser-messaging.js",
"text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\t$tw.utils.each(document.getElementsByTagName('iframe'), function(iframe) {\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t});\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\t// console.log(\"browser-messaging: \",document.location.toString())\n\t\t// console.log(\"browser-messaging: Received message from\",event.origin);\n\t\t// console.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/commands.js": {
"title": "$:/core/modules/startup/commands.js",
"text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/CSSescape.js": {
"title": "$:/core/modules/startup/CSSescape.js",
"text": "/*\\\ntitle: $:/core/modules/startup/CSSescape.js\ntype: application/javascript\nmodule-type: startup\n\nPolyfill for CSS.escape()\n\n\\*/\n(function(root,factory){\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"css-escape\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*! https://mths.be/cssescape v1.5.1 by @mathias | MIT license */\n// https://github.com/umdjs/umd/blob/master/returnExports.js\nexports.startup = factory(root);\n}(typeof global != 'undefined' ? global : this, function(root) {\n\n\tif (root.CSS && root.CSS.escape) {\n\t\treturn;\n\t}\n\n\t// https://drafts.csswg.org/cssom/#serialize-an-identifier\n\tvar cssEscape = function(value) {\n\t\tif (arguments.length == 0) {\n\t\t\tthrow new TypeError('`CSS.escape` requires an argument.');\n\t\t}\n\t\tvar string = String(value);\n\t\tvar length = string.length;\n\t\tvar index = -1;\n\t\tvar codeUnit;\n\t\tvar result = '';\n\t\tvar firstCodeUnit = string.charCodeAt(0);\n\t\twhile (++index < length) {\n\t\t\tcodeUnit = string.charCodeAt(index);\n\t\t\t// Note: there’s no need to special-case astral symbols, surrogate\n\t\t\t// pairs, or lone surrogates.\n\n\t\t\t// If the character is NULL (U+0000), then the REPLACEMENT CHARACTER\n\t\t\t// (U+FFFD).\n\t\t\tif (codeUnit == 0x0000) {\n\t\t\t\tresult += '\\uFFFD';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is in the range [\\1-\\1F] (U+0001 to U+001F) or is\n\t\t\t\t// U+007F, […]\n\t\t\t\t(codeUnit >= 0x0001 && codeUnit <= 0x001F) || codeUnit == 0x007F ||\n\t\t\t\t// If the character is the first character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039), […]\n\t\t\t\t(index == 0 && codeUnit >= 0x0030 && codeUnit <= 0x0039) ||\n\t\t\t\t// If the character is the second character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039) and the first character is a `-` (U+002D), […]\n\t\t\t\t(\n\t\t\t\t\tindex == 1 &&\n\t\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 &&\n\t\t\t\t\tfirstCodeUnit == 0x002D\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character-as-code-point\n\t\t\t\tresult += '\\\\' + codeUnit.toString(16) + ' ';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is the first character and is a `-` (U+002D), and\n\t\t\t\t// there is no second character, […]\n\t\t\t\tindex == 0 &&\n\t\t\t\tlength == 1 &&\n\t\t\t\tcodeUnit == 0x002D\n\t\t\t) {\n\t\t\t\tresult += '\\\\' + string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// If the character is not handled by one of the above rules and is\n\t\t\t// greater than or equal to U+0080, is `-` (U+002D) or `_` (U+005F), or\n\t\t\t// is in one of the ranges [0-9] (U+0030 to U+0039), [A-Z] (U+0041 to\n\t\t\t// U+005A), or [a-z] (U+0061 to U+007A), […]\n\t\t\tif (\n\t\t\t\tcodeUnit >= 0x0080 ||\n\t\t\t\tcodeUnit == 0x002D ||\n\t\t\t\tcodeUnit == 0x005F ||\n\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 ||\n\t\t\t\tcodeUnit >= 0x0041 && codeUnit <= 0x005A ||\n\t\t\t\tcodeUnit >= 0x0061 && codeUnit <= 0x007A\n\t\t\t) {\n\t\t\t\t// the character itself\n\t\t\t\tresult += string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// Otherwise, the escaped character.\n\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character\n\t\t\tresult += '\\\\' + string.charAt(index);\n\n\t\t}\n\t\treturn result;\n\t};\n\n\tif (!root.CSS) {\n\t\troot.CSS = {};\n\t}\n\n\troot.CSS.escape = cssEscape;\n\n}));\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/favicon.js": {
"title": "$:/core/modules/startup/favicon.js",
"text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",$tw.utils.makeDataUri(tiddler.fields.text,tiddler.fields.type,tiddler.fields._canonical_uri));\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/info.js": {
"title": "$:/core/modules/startup/info.js",
"text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_INFO_PLUGIN = \"$:/temp/info-plugin\";\n\nexports.startup = function() {\n\t// Function to bake the info plugin with new tiddlers\n\tvar updateInfoPlugin = function(tiddlerFieldsArray) {\n\t\t// Get the existing tiddlers\n\t\tvar json = $tw.wiki.getTiddlerData(TITLE_INFO_PLUGIN,{tiddlers: {}});\n\t\t// Add the new ones\n\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\tif(fields && fields.title) {\n\t\t\t\tjson.tiddlers[fields.title] = fields;\n\t\t\t}\n\t\t});\n\t\t// Bake the info tiddlers into a plugin. We use the non-standard plugin-type \"info\" because ordinary plugins are only registered asynchronously after being loaded dynamically\n\t\tvar fields = {\n\t\t\ttitle: TITLE_INFO_PLUGIN,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"info\",\n\t\t\ttext: JSON.stringify(json,null,$tw.config.preferences.jsonSpaces)\n\t\t};\n\t\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\n\t};\n\t// Collect up the info tiddlers\n\tvar tiddlerFieldsArray = [];\n\t// Give each info module a chance to provide as many info tiddlers as they want as an array, and give them a callback for dynamically updating them\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tArray.prototype.push.apply(tiddlerFieldsArray,moduleExports.getInfoTiddlerFields(updateInfoPlugin));\n\t\t}\n\t});\n\tupdateInfoPlugin(tiddlerFieldsArray);\n\tvar changes = $tw.wiki.readPluginInfo([TITLE_INFO_PLUGIN]);\n\t$tw.wiki.registerPluginTiddlers(\"info\",[TITLE_INFO_PLUGIN]);\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/load-modules.js": {
"title": "$:/core/modules/startup/load-modules.js",
"text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.wiki.addIndexersToWiki();\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/password.js": {
"title": "$:/core/modules/startup/password.js",
"text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/plugins.js": {
"title": "$:/core/modules/startup/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/startup/plugins.js\ntype: application/javascript\nmodule-type: startup\n\nStartup logic concerned with managing plugins\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"plugins\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE = \"$:/status/RequireReloadDueToPluginChange\";\n\nvar PREFIX_CONFIG_REGISTER_PLUGIN_TYPE = \"$:/config/RegisterPluginType/\";\n\nexports.startup = function() {\n\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"no\"});\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Work out which of the changed tiddlers are plugins that we need to reregister\n\t\tvar changesToProcess = [],\n\t\t\trequireReloadDueToPluginChange = false;\n\t\t$tw.utils.each(Object.keys(changes),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\t\trequiresReload = $tw.wiki.doesPluginRequireReload(title);\n\t\t\tif(requiresReload) {\n\t\t\t\trequireReloadDueToPluginChange = true;\n\t\t\t} else if(tiddler) {\n\t\t\t\tvar pluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif($tw.wiki.getTiddlerText(PREFIX_CONFIG_REGISTER_PLUGIN_TYPE + (tiddler.fields[\"plugin-type\"] || \"\"),\"no\") === \"yes\") {\n\t\t\t\t\tchangesToProcess.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\t// Issue warning if any of the tiddlers require a reload\n\t\tif(requireReloadDueToPluginChange) {\n\t\t\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"yes\"});\n\t\t}\n\t\t// Read or delete the plugin info of the changed tiddlers\n\t\tif(changesToProcess.length > 0) {\n\t\t\tvar changes = $tw.wiki.readPluginInfo(changesToProcess);\n\t\t\tif(changes.modifiedPlugins.length > 0 || changes.deletedPlugins.length > 0) {\n\t\t\t\tvar changedShadowTiddlers = {};\n\t\t\t\t// Collect the shadow tiddlers of any deleted plugins\n\t\t\t\t$tw.utils.each(changes.deletedPlugins,function(pluginTitle) {\n\t\t\t\t\tvar pluginInfo = $tw.wiki.getPluginInfo(pluginTitle);\n\t\t\t\t\tif(pluginInfo) {\n\t\t\t\t\t\t$tw.utils.each(Object.keys(pluginInfo.tiddlers),function(title) {\n\t\t\t\t\t\t\tchangedShadowTiddlers[title] = true;\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t// Collect the shadow tiddlers of any modified plugins\n\t\t\t\t$tw.utils.each(changes.modifiedPlugins,function(pluginTitle) {\n\t\t\t\t\tvar pluginInfo = $tw.wiki.getPluginInfo(pluginTitle);\n\t\t\t\t\tif(pluginInfo) {\n\t\t\t\t\t\t$tw.utils.each(Object.keys(pluginInfo.tiddlers),function(title) {\n\t\t\t\t\t\t\tchangedShadowTiddlers[title] = false;\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t// (Re-)register any modified plugins\n\t\t\t\t$tw.wiki.registerPluginTiddlers(null,changes.modifiedPlugins);\n\t\t\t\t// Unregister any deleted plugins\n\t\t\t\t$tw.wiki.unregisterPluginTiddlers(null,changes.deletedPlugins);\n\t\t\t\t// Unpack the shadow tiddlers\n\t\t\t\t$tw.wiki.unpackPluginTiddlers();\n\t\t\t\t// Queue change events for the changed shadow tiddlers\n\t\t\t\t$tw.utils.each(Object.keys(changedShadowTiddlers),function(title) {\n\t\t\t\t\t$tw.wiki.enqueueTiddlerEvent(title,changedShadowTiddlers[title]);\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/render.js": {
"title": "$:/core/modules/startup/render.js",
"text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/RootTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar THROTTLE_REFRESH_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget, recursionMarker: \"no\"});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n \t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t})();\n\t// Remove any splash screen elements\n\tvar removeList = document.querySelectorAll(\".tc-remove-when-wiki-loaded\");\n\t$tw.utils.each(removeList,function(removeItem) {\n\t\tif(removeItem.parentNode) {\n\t\t\tremoveItem.parentNode.removeChild(removeItem);\n\t\t}\n\t});\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.hooks.invokeHook(\"th-page-refreshing\");\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only tiddlers that are throttled have changed\n\t\tvar onlyThrottledTiddlersHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !(tiddler.hasField(\"draft.of\") || tiddler.hasField(\"throttle.refresh\"))) {\n\t\t\t\tonlyThrottledTiddlersHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyThrottledTiddlersHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = THROTTLE_REFRESH_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n\t// Run any post-render startup actions\n\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/PostRender\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/rootwidget.js": {
"title": "$:/core/modules/startup/rootwidget.js",
"text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject, event: event});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-show-switcher\",function(event) {\n\t\t$tw.modal.display(\"$:/core/ui/SwitcherModal\",{variables: event.paramObject, event: event});\n\t});\t\n\t// Install the notification mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the copy-to-clipboard mechanism\n\t$tw.rootWidget.addEventListener(\"tm-copy-to-clipboard\",function(event) {\n\t\t$tw.utils.copyToClipboard(event.param);\n\t});\n\t// Install the tm-focus-selector message\n\t$tw.rootWidget.addEventListener(\"tm-focus-selector\",function(event) {\n\t\tvar selector = event.param || \"\",\n\t\t\telement;\n\t\ttry {\n\t\t\telement = document.querySelector(selector);\n\t\t} catch(e) {\n\t\t\tconsole.log(\"Error in selector: \",selector)\n\t\t}\n\t\tif(element && element.focus) {\n\t\t\telement.focus(event.paramObject);\n\t\t}\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tvar fullScreenDocument = event.event ? event.event.target.ownerDocument : document;\n\t\t\tif(event.param === \"enter\") {\n\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t} else if(event.param === \"exit\") {\n\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tif(fullScreenDocument[fullscreen._fullscreenElement]) {\n\t\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t\t} else {\n\t\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup.js": {
"title": "$:/core/modules/startup.js",
"text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.platform);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\t$tw.rootWidget = new widget.widget({\n\t\ttype: \"widget\",\n\t\tchildren: []\n\t},{\n\t\twiki: $tw.wiki,\n\t\tdocument: $tw.browser ? document : $tw.fakeDocument\n\t});\n\t// Execute any startup actions\n\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction\");\n\tif($tw.browser) {\n\t\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/Browser\");\t\t\n\t}\n\tif($tw.node) {\n\t\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/Node\");\t\t\n\t}\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-GB\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Listen for shortcuts\n\tif($tw.browser) {\n\t\t$tw.utils.addEventListeners(document,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t}\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t}\n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({\n\t\twiki: $tw.wiki,\n\t\tdirtyTracking: !$tw.syncadaptor,\n\t\tpreloadDirty: $tw.boot.preloadDirty || []\n\t});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/story.js": {
"title": "$:/core/modules/startup/story.js",
"text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\nvar CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD = \"$:/config/Navigation/Permalinkview/CopyToClipboard\"; // Can be \"yes\" (default) or \"no\"\nvar CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/Permalinkview/UpdateAddressBar\"; // Can be \"yes\" (default) or \"no\"\n\n\n// Links to help, if there is no param\nvar HELP_OPEN_EXTERNAL_WINDOW = \"http://tiddlywiki.com/#WidgetMessage%3A%20tm-open-external-window\";\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers({\n\t\tdisableHistory: $tw.boot.disableStartupNavigation\n\t});\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for tm-open-external-window message\n\t\t$tw.rootWidget.addEventListener(\"tm-open-external-window\",function(event) {\n\t\t\tvar paramObject = event.paramObject || {},\n\t\t\t\tstrUrl = event.param || HELP_OPEN_EXTERNAL_WINDOW,\n\t\t\t\tstrWindowName = paramObject.windowName,\n\t\t\t\tstrWindowFeatures = paramObject.windowFeatures;\n\t\t\twindow.open(strUrl, strWindowName, strWindowFeatures);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\"\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\"\n\t\t\t});\t\t\t\t\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndisableHistory: if true $:/History is NOT updated\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// Update history\n\tvar story = new $tw.Story({\n\t\twiki: $tw.wiki,\n\t\tstoryTitle: DEFAULT_STORY_TITLE,\n\t\thistoryTitle: DEFAULT_HISTORY_TITLE\n\t});\n\tif(!options.disableHistory) {\n\t\t// If a target tiddler was specified add it to the history stack\n\t\tif(target && target !== \"\") {\n\t\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t\t}\n\t\t\tstory.addToHistory(target);\n\t\t} else if(storyList.length > 0) {\n\t\t\tstory.addToHistory(storyList[0]);\n\t\t}\t\t\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.copyToClipboard: \"permalink\", \"permaview\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\t// Get the story and the history stack\n\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\ttargetTiddler = \"\";\n\tif(options.targetTiddler) {\n\t\ttargetTiddler = options.targetTiddler;\n\t} else {\n\t\t// The target tiddler is the one at the top of the stack\n\t\tif(historyList.length > 0) {\n\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t}\n\t\t// Blank the target tiddler if it isn't present in the story\n\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\ttargetTiddler = \"\";\n\t\t}\n\t}\n\t// Assemble the location hash\n\tswitch(options.updateAddressBar) {\n\t\tcase \"permalink\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t\tbreak;\n\t}\n\t// Copy URL to the clipboard\n\tswitch(options.copyToClipboard) {\n\t\tcase \"permalink\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler));\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList)));\n\t\t\tbreak;\n\t}\n\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\tif(options.updateHistory === \"yes\") {\n\t\t\t// Assign the location hash so that history is updated\n\t\t\twindow.location.hash = $tw.locationHash;\n\t\t} else {\n\t\t\t// We use replace so that browser history isn't affected\n\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t}\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/windows.js": {
"title": "$:/core/modules/startup/windows.js",
"text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\n$tw.windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\twindowTitle = paramObject.windowTitle || title,\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow,\n\t\t srcDocument;\n\t\t// In case that popup blockers deny opening a new window\n\t\ttry {\n\t\t\tsrcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\t}\n\t\tcatch(e) {\n\t\t\treturn;\n\t\t}\n\t\t$tw.windows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = windowTitle;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete $tw.windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\t// Listen for keyboard shortcuts\n\t\t$tw.utils.addEventListeners(srcDocument,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t\tsrcWindow.document.documentElement.addEventListener(\"click\",$tw.popup,true);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each($tw.windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/story.js": {
"title": "$:/core/modules/story.js",
"text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/storyviews/classic.js": {
"title": "$:/core/modules/storyviews/classic.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration()\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\tif(duration) {\n\t\t// Scroll the node into view\n\t\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\t\n\t} else {\n\t\ttargetElement.scrollIntoView();\n\t}\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Reset the margin once the transition is over\n\t\tsetTimeout(function() {\n\t\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t\t{transition: \"none\"},\n\t\t\t\t{marginBottom: \"\"}\n\t\t\t]);\n\t\t},duration);\n\t\t// Set up the initial position of the element\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t// Transition to the final position\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t]);\n\t}\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode(),\n\t\t\tremoveElement = function() {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t};\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\tremoveElement();\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar currWidth = targetElement.offsetWidth,\n\t\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Remove the dom nodes of the widget at the end of the transition\n\t\tsetTimeout(removeElement,duration);\n\t\t// Animate the closure\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"translateX(0px)\"},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/pop.js": {
"title": "$:/core/modules/storyviews/pop.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t\t$tw.utils.setStyle(widget.document.body,[\n\t\t\t{\"overflow-x\": \"\"}\n\t\t]);\n\t},duration);\n\t// Prevent the page from overscrolling due to the zoom factor\n\t$tw.utils.setStyle(widget.document.body,[\n\t\t{\"overflow-x\": \"hidden\"}\n\t]);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement && targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/zoomin.js": {
"title": "$:/core/modules/storyviews/zoomin.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx = zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty = zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/syncer.js": {
"title": "$:/core/modules/syncer.js",
"text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store and synchronises them to a remote data store represented as a \"sync adaptor\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleIsAnonymous = \"$:/status/IsAnonymous\";\nSyncer.prototype.titleIsReadOnly = \"$:/status/IsReadOnly\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSyncPollingInterval = \"$:/config/SyncPollingInterval\";\nSyncer.prototype.titleSyncDisableLazyLoading = \"$:/config/SyncDisableLazyLoading\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.titleSyncThrottleInterval = \"$:/config/SyncThrottleInterval\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.errorRetryInterval = 5 * 1000; // Interval to retry after an error\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\t// Save parameters\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncThrottleInterval,\"\"),10) || this.throttleInterval;\n\tthis.errorRetryInterval = options.errorRetryInterval || this.errorRetryInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncPollingInterval,\"\"),10) || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging,\n\t\tsaveHistory: true\n\t});\n\t// Make another logger for connection errors\n\tthis.loggerConnection = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\") + \"-connection\",{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging\n\t});\n\t// Ask the syncadaptor to use the main logger\n\tif(this.syncadaptor.setLoggerSaveBuffer) {\n\t\tthis.syncadaptor.setLoggerSaveBuffer(this.logger);\n\t}\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\tthis.titlesToBeLoaded = {}; // Hashmap of titles of tiddlers that need loading from the server\n\tthis.titlesHaveBeenLazyLoaded = {}; // Hashmap of titles of tiddlers that have already been lazily loaded from the server\n\t// Timers\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Number of outstanding requests\n\tthis.numTasksInProgress = 0;\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Filter the changes to just include ones that are being synced\n\t\tvar filteredChanges = self.getSyncedTiddlers(function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t\tif(filteredChanges.length > 0) {\n\t\t\tself.processTaskQueue();\n\t\t} else {\n\t\t\t// Look for deletions of tiddlers we're already syncing\t\n\t\t\tvar outstandingDeletion = false\n\t\t\t$tw.utils.each(changes,function(change,title,object) {\n\t\t\t\tif(change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) {\n\t\t\t\t\toutstandingDeletion = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(outstandingDeletion) {\n\t\t\t\tself.processTaskQueue();\n\t\t\t}\n\t\t}\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function(event) {\n\t\t\tvar username = event && event.paramObject && event.paramObject.username,\n\t\t\t\tpassword = event && event.paramObject && event.paramObject.password;\n\t\t\tif(username && password) {\n\t\t\t\t// Login with username and password\n\t\t\t\tself.login(username,password,function() {});\n\t\t\t} else {\n\t\t\t\t// No username and password, so we display a prompt\n\t\t\t\tself.handleLoginEvent();\t\t\t\t\n\t\t\t}\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-copy-syncer-logs-to-clipboard\",function() {\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getSystemInfo() + \"\\n\\nLog:\\n\" + self.logger.getBuffer());\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI && this.wiki.getTiddlerText(this.titleSyncDisableLazyLoading) !== \"yes\") {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nShow a generic network error alert\n*/\nSyncer.prototype.displayError = function(msg,err) {\n\tif(err === ($tw.language.getString(\"Error/XMLHttpRequest\") + \": 0\")) {\n\t\tthis.loggerConnection.alert($tw.language.getString(\"Error/NetworkErrorAlert\"));\n\t\tthis.logger.log(msg + \":\",err);\n\t} else {\n\t\tthis.logger.alert(msg + \":\",err);\n\t}\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getSyncedTiddlers = function(source) {\n\treturn this.filterFn.call(this.wiki,source);\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getTiddlerRevision = function(title) {\n\tif(this.syncadaptor && this.syncadaptor.getTiddlerRevision) {\n\t\treturn this.syncadaptor.getTiddlerRevision(title);\n\t} else {\n\t\treturn this.wiki.getTiddler(title).fields.revision;\t\n\t} \n};\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\t// \"revision\" is the revision of the tiddler last seen on the server, and \"changecount\" is the corresponding local changecount\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.getSyncedTiddlers();\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tself.tiddlerInfo[title] = {\n\t\t\t\trevision: self.getTiddlerRevision(title),\n\t\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t\t};\n\t\t}\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\tthis.logger.log(\"Checking dirty status\");\n\t// Check tiddlers that are in the store and included in the filter function\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(this.wiki.tiddlerExists(title)) {\n\t\t\tif(tiddlerInfo) {\n\t\t\t\t// If the tiddler is known on the server and has been modified locally then it needs to be saved to the server\n\t\t\t\tif(this.wiki.getChangeCount(title) > tiddlerInfo.changeCount) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// If the tiddler isn't known on the server then it needs to be saved to the server\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\t// Check tiddlers that are known from the server but not currently in the store\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\tif(!this.wiki.tiddlerExists(titles[index])) {\n\t\t\t// There must be a pending delete\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\tvar dirty = this.isDirty();\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",dirty);\n\t\tif(!dirty) {\n\t\t\tthis.loggerConnection.clearAlerts();\n\t\t}\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: this.getTiddlerRevision(tiddlerFields.title),\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username,isReadOnly,isAnonymous) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\t// Set the various status tiddlers\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsReadOnly,text: isReadOnly ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsAnonymous,text: isAnonymous ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\t\tif(isLoggedIn) {\n\t\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tvar self = this,\n\t\tcancelNextSync = function() {\n\t\t\tif(self.pollTimerId) {\n\t\t\t\tclearTimeout(self.pollTimerId);\n\t\t\t\tself.pollTimerId = null;\n\t\t\t}\n\t\t},\n\t\ttriggerNextSync = function() {\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t},\n\t\tsyncSystemFromServer = (self.wiki.getTiddlerText(\"$:/config/SyncSystemTiddlersFromServer\") === \"yes\" ? true : false);\n\tif(this.syncadaptor && this.syncadaptor.getUpdatedTiddlers) {\n\t\tthis.logger.log(\"Retrieving updated tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getUpdatedTiddlers(self,function(err,updates) {\n\t\t\ttriggerNextSync();\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tif(updates) {\n\t\t\t\t$tw.utils.each(updates.modifications,function(title) {\n\t\t\t\t\tself.titlesToBeLoaded[title] = true;\n\t\t\t\t});\n\t\t\t\t$tw.utils.each(updates.deletions,function(title) {\n\t\t\t\t\tif(syncSystemFromServer || !self.wiki.isSystemTiddler(title)) {\n\t\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(updates.modifications.length > 0 || updates.deletions.length > 0) {\n\t\t\t\t\tself.processTaskQueue();\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t} else if(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\ttriggerNextSync();\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Keep track of which tiddlers we already know about have been reported this time\n\t\t\tvar previousTitles = Object.keys(self.tiddlerInfo);\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.tiddlerExists(tiddlerFields.title) && self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null,\n\t\t\t\t\tindexInPreviousTitles = previousTitles.indexOf(tiddlerFields.title);\n\t\t\t\tif(indexInPreviousTitles !== -1) {\n\t\t\t\t\tpreviousTitles.splice(indexInPreviousTitles,1);\n\t\t\t\t}\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Only load the skinny version if we don't already have a fat version of the tiddler\n\t\t\t\t\tif(!tiddler || tiddler.fields.text === undefined) {\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\tself.titlesToBeLoaded[tiddlerFields.title] = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Delete any tiddlers that were previously reported but missing this time\n\t\t\t$tw.utils.each(previousTitles,function(title) {\n\t\t\t\tif(syncSystemFromServer || !self.wiki.isSystemTiddler(title)) {\n\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t});\n\t\t\tself.processTaskQueue();\n\t\t});\n\t}\n};\n\n/*\nForce load a tiddler from the server\n*/\nSyncer.prototype.enqueueLoadTiddler = function(title) {\n\tthis.titlesToBeLoaded[title] = true;\n\tthis.processTaskQueue();\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Ignore if the syncadaptor doesn't handle it\n\tif(!this.syncadaptor.supportsLazyLoading) {\n\t\treturn;\n\t}\n\t// Don't lazy load the same tiddler twice\n\tif(!this.titlesHaveBeenLazyLoaded[title]) {\n\t\t// Don't lazy load if the tiddler isn't included in the sync filter\n\t\tif(this.getSyncedTiddlers().indexOf(title) !== -1) {\n\t\t\t// Mark the tiddler as needing loading, and having already been lazily loaded\n\t\t\tthis.titlesToBeLoaded[title] = true;\n\t\t\tthis.titlesHaveBeenLazyLoaded[title] = true;\n\t\t}\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!err && !isLoggedIn) {\n\t\t\tif(self.syncadaptor && self.syncadaptor.displayLoginPrompt) {\n\t\t\t\tself.syncadaptor.displayLoginPrompt(self);\n\t\t\t} else {\n\t\t\t\tself.displayLoginPrompt();\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nDispay a password prompt\n*/\nSyncer.prototype.displayLoginPrompt = function() {\n\tvar self = this;\n\tvar promptInfo = $tw.passwordPrompt.createPrompt({\n\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\tcallback: function(data) {\n\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\tself.syncFromServer();\n\t\t\t});\n\t\t\treturn true; // Get rid of the password prompt\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(err,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nProcess the next task\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing\n\t// a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(typeof task === \"object\" && task !== null) {\n\t\t\tthis.numTasksInProgress += 1;\n\t\t\ttask.run(function(err) {\n\t\t\t\tself.numTasksInProgress -= 1;\n\t\t\t\tif(err) {\n\t\t\t\t\tself.displayError(\"Sync error while processing \" + task.type + \" of '\" + task.title + \"'\",err);\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\tself.triggerTimeout(self.errorRetryInterval);\n\t\t\t\t} else {\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\t// Process the next task\n\t\t\t\t\tself.processTaskQueue.call(self);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// No task is ready so update the status\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// And trigger a timeout if there is a pending task\n\t\t\tif(task === true) {\n\t\t\t\tthis.triggerTimeout();\t\t\t\t\n\t\t\t}\n\t\t}\n\t} else {\n\t\tthis.updateDirtyStatus();\t\t\n\t}\n};\n\nSyncer.prototype.triggerTimeout = function(interval) {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},interval || self.taskTimerInterval);\n\t}\n};\n\n/*\nChoose the next sync task. We prioritise saves, then deletes, then loads from the server\n\nReturns either a task object, null if there's no upcoming tasks, or the boolean true if there are pending tasks that aren't yet due\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar thresholdLastSaved = (new Date()) - this.throttleInterval,\n\t\thavePending = null;\n\t// First we look for tiddlers that have been modified locally and need saving back to the server\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title),\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(tiddler) {\n\t\t\t// If the tiddler is not known on the server, or has been modified locally no more recently than the threshold then it needs to be saved to the server\n\t\t\tvar hasChanged = !tiddlerInfo || this.wiki.getChangeCount(title) > tiddlerInfo.changeCount,\n\t\t\t\tisReadyToSave = !tiddlerInfo || !tiddlerInfo.timestampLastSaved || tiddlerInfo.timestampLastSaved < thresholdLastSaved;\n\t\t\tif(hasChanged) {\n\t\t\t\tif(isReadyToSave) {\n\t\t\t\t\treturn new SaveTiddlerTask(this,title); \t\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\thavePending = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Second, we check tiddlers that are known from the server but not currently in the store, and so need deleting on the server\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\ttitle = titles[index];\n\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\treturn new DeleteTiddlerTask(this,title);\n\t\t}\n\t}\n\t// Check for tiddlers that need loading\n\ttitle = Object.keys(this.titlesToBeLoaded)[0];\n\tif(title) {\n\t\tdelete this.titlesToBeLoaded[title];\n\t\treturn new LoadTiddlerTask(this,title);\n\t}\n\t// No tasks are ready\n\treturn havePending;\n};\n\nfunction SaveTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"save\";\n}\n\nSaveTiddlerTask.prototype.run = function(callback) {\n\tvar self = this,\n\t\tchangeCount = this.syncer.wiki.getChangeCount(this.title),\n\t\ttiddler = this.syncer.wiki.tiddlerExists(this.title) && this.syncer.wiki.getTiddler(this.title);\n\tthis.syncer.logger.log(\"Dispatching 'save' task:\",this.title);\n\tif(tiddler) {\n\t\tthis.syncer.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t// If there's an error, exit without changing any internal state\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Adjust the info stored about this tiddler\n\t\t\tself.syncer.tiddlerInfo[self.title] = {\n\t\t\t\tchangeCount: changeCount,\n\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\trevision: revision,\n\t\t\t\ttimestampLastSaved: new Date()\n\t\t\t};\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t},{\n\t\t\ttiddlerInfo: self.syncer.tiddlerInfo[self.title]\n\t\t});\n\t} else {\n\t\tthis.syncer.logger.log(\" Not Dispatching 'save' task:\",this.title,\"tiddler does not exist\");\n\t\t$tw.utils.nextTick(callback(null));\n\t}\n};\n\nfunction DeleteTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"delete\";\n}\n\nDeleteTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'delete' task:\",this.title);\n\tthis.syncer.syncadaptor.deleteTiddler(this.title,function(err) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Remove the info stored about this tiddler\n\t\tdelete self.syncer.tiddlerInfo[self.title];\n\t\tif($tw.boot.files){\n\t\t\t// Remove the tiddler from $tw.boot.files\n\t\t\tdelete $tw.boot.files[self.title];\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t},{\n\t\ttiddlerInfo: self.syncer.tiddlerInfo[this.title]\n\t});\n};\n\nfunction LoadTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"load\";\n}\n\nLoadTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'load' task:\",this.title);\n\tthis.syncer.syncadaptor.loadTiddler(this.title,function(err,tiddlerFields) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Update the info stored about this tiddler\n\t\tif(tiddlerFields) {\n\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t});\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/tiddler.js": {
"title": "$:/core/modules/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet the value of a field as a list\n*/\nexports.getFieldList = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn [];\n\t}\n\treturn $tw.utils.parseStringArray(value);\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [],\n\t\tfields = Object.keys(this.fields).sort(),\n\t\tresult = [];\n\tfor(var t=0; t<fields.length; t++) {\n\t\tvar field = fields[t];\n\t\tif(exclude.indexOf(field) === -1) {\n\t\t\tresult.push(field + \": \" + this.getFieldString(field));\n\t\t}\n\t}\n\treturn result.join(\"\\n\");\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlermethod"
},
"$:/core/modules/upgraders/plugins.js": {
"title": "$:/core/modules/upgraders/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin contains JS modules\n\t\t\tvar requiresReload = wiki.doesPluginInfoRequireReload(JSON.parse(incomingTiddler.text)) ? (wiki.getTiddlerText(\"$:/language/ControlPanel/Plugins/PluginWillRequireReload\") + \" \") : \"\";\n\t\t\tmessages[title] = requiresReload;\n\t\t\tif(incomingTiddler.version) {\n\t\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/system.js": {
"title": "$:/core/modules/upgraders/system.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\",\"$:/Import\"],\n\tWARN_IMPORT_PREFIX_LIST = [\"$:/core/modules/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tshowAlert = false;\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(var t=0; t<WARN_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = WARN_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix && wiki.isShadowTiddler(title)) {\n\t\t\t\t\tshowAlert = true;\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Warning\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\tif(showAlert) {\n\t\tvar logger = new $tw.utils.Logger(\"import\");\n\t\tlogger.alert($tw.language.getString(\"Import/Upgrader/System/Alert\"));\n\t}\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/themetweaks.js": {
"title": "$:/core/modules/upgraders/themetweaks.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/utils/base64-utf8/base64-utf8.module.js": {
"text": "(function(){// From https://gist.github.com/Nijikokun/5192472\n//\n// UTF8 Module\n//\n// Cleaner and modularized utf-8 encoding and decoding library for javascript.\n//\n// copyright: MIT\n// author: Nijiko Yonskai, @nijikokun, nijikokun@gmail.com\n!function(r,e,o,t){void 0!==o.module&&o.module.exports?o.module.exports=e.apply(o):void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"utf8\",[],e):o.utf8=e.apply(o)}(0,function(){return{encode:function(r){if(\"string\"!=typeof r)return r;r=r.replace(/\\r\\n/g,\"\\n\");for(var e,o=\"\",t=0;t<r.length;t++)if((e=r.charCodeAt(t))<128)o+=String.fromCharCode(e);else if(e>127&&e<2048)o+=String.fromCharCode(e>>6|192),o+=String.fromCharCode(63&e|128);else if(e>55295&&e<57344&&r.length>t+1){var i=e,n=r.charCodeAt(t+1);t++;var d=65536+(i-55296<<10|n-56320);o+=String.fromCharCode(d>>18|240),o+=String.fromCharCode(d>>12&63|128),o+=String.fromCharCode(d>>6&63|128),o+=String.fromCharCode(63&d|128)}else o+=String.fromCharCode(e>>12|224),o+=String.fromCharCode(e>>6&63|128),o+=String.fromCharCode(63&e|128);return o},decode:function(r){if(\"string\"!=typeof r)return r;for(var e=\"\",o=0,t=0;o<r.length;)if((t=r.charCodeAt(o))<128)e+=String.fromCharCode(t),o++;else if(t>191&&t<224)e+=String.fromCharCode((31&t)<<6|63&r.charCodeAt(o+1)),o+=2;else if(t>223&&t<240)e+=String.fromCharCode((15&t)<<12|(63&r.charCodeAt(o+1))<<6|63&r.charCodeAt(o+2)),o+=3;else{var i=(7&t)<<18|(63&r.charCodeAt(o+1))<<12|(63&r.charCodeAt(o+2))<<6|63&r.charCodeAt(o+3);e+=String.fromCharCode(55296+(i-65536>>10))+String.fromCharCode(56320+(i-65536&1023)),o+=4}return e}}},this),function(r,e,o,t){if(void 0!==o.module&&o.module.exports){if(t&&o.require)for(var i=0;i<t.length;i++)o[t[i]]=o.require(t[i]);o.module.exports=e.apply(o)}else void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"base64\",t||[],e):o.base64=e.apply(o)}(0,function(r){var e=r||this.utf8,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";return{encode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=e.encode(r);for(var t,i,n,d,f,a,h,C=\"\",c=0;c<r.length;)d=(t=r.charCodeAt(c++))>>2,f=(3&t)<<4|(i=r.charCodeAt(c++))>>4,a=(15&i)<<2|(n=r.charCodeAt(c++))>>6,h=63&n,isNaN(i)?a=h=64:isNaN(n)&&(h=64),C+=o.charAt(d)+o.charAt(f)+o.charAt(a)+o.charAt(h);return C},decode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=r.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");for(var t,i,n,d,f,a,h=\"\",C=0;C<r.length;)t=o.indexOf(r.charAt(C++))<<2|(d=o.indexOf(r.charAt(C++)))>>4,i=(15&d)<<4|(f=o.indexOf(r.charAt(C++)))>>2,n=(3&f)<<6|(a=o.indexOf(r.charAt(C++))),h+=String.fromCharCode(t),64!=f&&(h+=String.fromCharCode(i)),64!=a&&(h+=String.fromCharCode(n));return e.decode(h)}}},this,[\"utf8\"]);}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/base64-utf8/base64-utf8.module.js",
"module-type": "library"
},
"$:/core/modules/utils/crypto.js": {
"title": "$:/core/modules/utils/crypto.js",
"text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/csv.js": {
"title": "$:/core/modules/utils/csv.js",
"text": "/*\\\ntitle: $:/core/modules/utils/csv.js\ntype: application/javascript\nmodule-type: utils\n\nA barebones CSV parser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a CSV string with a header row and return an array of hashmaps.\n*/\nexports.parseCsvStringWithHeader = function(text,options) {\n\toptions = options || {};\n\tvar separator = options.separator || \",\",\n\t\trows = text.split(/\\r?\\n/mg).map(function(row) {\n\t\t\treturn $tw.utils.trim(row);\n\t\t}).filter(function(row) {\n\t\t\treturn row !== \"\";\n\t\t});\n\tif(rows.length < 1) {\n\t\treturn \"Missing header row\";\n\t}\n\tvar headings = rows[0].split(separator),\n\t\tresults = [];\n\tfor(var row=1; row<rows.length; row++) {\n\t\tvar columns = rows[row].split(separator),\n\t\t\tcolumnResult = Object.create(null);\n\t\tif(columns.length !== headings.length) {\n\t\t\treturn \"Malformed CSV row '\" + rows[row] + \"'\";\n\t\t}\n\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\tvar columnName = headings[column];\n\t\t\tcolumnResult[columnName] = $tw.utils.trim(columns[column] || \"\");\n\t\t}\n\t\tresults.push(columnResult);\t\t\t\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/diff-match-patch/diff_match_patch.js": {
"text": "(function(){function diff_match_patch(){this.Diff_Timeout=1;this.Diff_EditCost=4;this.Match_Threshold=.5;this.Match_Distance=1E3;this.Patch_DeleteThreshold=.5;this.Patch_Margin=4;this.Match_MaxBits=32}var DIFF_DELETE=-1,DIFF_INSERT=1,DIFF_EQUAL=0;\ndiff_match_patch.prototype.diff_main=function(a,b,c,d){\"undefined\"==typeof d&&(d=0>=this.Diff_Timeout?Number.MAX_VALUE:(new Date).getTime()+1E3*this.Diff_Timeout);if(null==a||null==b)throw Error(\"Null input. (diff_main)\");if(a==b)return a?[[DIFF_EQUAL,a]]:[];\"undefined\"==typeof c&&(c=!0);var e=c,f=this.diff_commonPrefix(a,b);c=a.substring(0,f);a=a.substring(f);b=b.substring(f);f=this.diff_commonSuffix(a,b);var g=a.substring(a.length-f);a=a.substring(0,a.length-f);b=b.substring(0,b.length-f);a=this.diff_compute_(a,\nb,e,d);c&&a.unshift([DIFF_EQUAL,c]);g&&a.push([DIFF_EQUAL,g]);this.diff_cleanupMerge(a);return a};\ndiff_match_patch.prototype.diff_compute_=function(a,b,c,d){if(!a)return[[DIFF_INSERT,b]];if(!b)return[[DIFF_DELETE,a]];var e=a.length>b.length?a:b,f=a.length>b.length?b:a,g=e.indexOf(f);return-1!=g?(c=[[DIFF_INSERT,e.substring(0,g)],[DIFF_EQUAL,f],[DIFF_INSERT,e.substring(g+f.length)]],a.length>b.length&&(c[0][0]=c[2][0]=DIFF_DELETE),c):1==f.length?[[DIFF_DELETE,a],[DIFF_INSERT,b]]:(e=this.diff_halfMatch_(a,b))?(b=e[1],f=e[3],a=e[4],e=this.diff_main(e[0],e[2],c,d),c=this.diff_main(b,f,c,d),e.concat([[DIFF_EQUAL,\na]],c)):c&&100<a.length&&100<b.length?this.diff_lineMode_(a,b,d):this.diff_bisect_(a,b,d)};\ndiff_match_patch.prototype.diff_lineMode_=function(a,b,c){var d=this.diff_linesToChars_(a,b);a=d.chars1;b=d.chars2;d=d.lineArray;a=this.diff_main(a,b,!1,c);this.diff_charsToLines_(a,d);this.diff_cleanupSemantic(a);a.push([DIFF_EQUAL,\"\"]);for(var e=d=b=0,f=\"\",g=\"\";b<a.length;){switch(a[b][0]){case DIFF_INSERT:e++;g+=a[b][1];break;case DIFF_DELETE:d++;f+=a[b][1];break;case DIFF_EQUAL:if(1<=d&&1<=e){a.splice(b-d-e,d+e);b=b-d-e;d=this.diff_main(f,g,!1,c);for(e=d.length-1;0<=e;e--)a.splice(b,0,d[e]);b+=\nd.length}d=e=0;g=f=\"\"}b++}a.pop();return a};\ndiff_match_patch.prototype.diff_bisect_=function(a,b,c){for(var d=a.length,e=b.length,f=Math.ceil((d+e)/2),g=2*f,h=Array(g),l=Array(g),k=0;k<g;k++)h[k]=-1,l[k]=-1;h[f+1]=0;l[f+1]=0;k=d-e;for(var m=0!=k%2,p=0,x=0,w=0,q=0,t=0;t<f&&!((new Date).getTime()>c);t++){for(var v=-t+p;v<=t-x;v+=2){var n=f+v;var r=v==-t||v!=t&&h[n-1]<h[n+1]?h[n+1]:h[n-1]+1;for(var y=r-v;r<d&&y<e&&a.charAt(r)==b.charAt(y);)r++,y++;h[n]=r;if(r>d)x+=2;else if(y>e)p+=2;else if(m&&(n=f+k-v,0<=n&&n<g&&-1!=l[n])){var u=d-l[n];if(r>=\nu)return this.diff_bisectSplit_(a,b,r,y,c)}}for(v=-t+w;v<=t-q;v+=2){n=f+v;u=v==-t||v!=t&&l[n-1]<l[n+1]?l[n+1]:l[n-1]+1;for(r=u-v;u<d&&r<e&&a.charAt(d-u-1)==b.charAt(e-r-1);)u++,r++;l[n]=u;if(u>d)q+=2;else if(r>e)w+=2;else if(!m&&(n=f+k-v,0<=n&&n<g&&-1!=h[n]&&(r=h[n],y=f+r-n,u=d-u,r>=u)))return this.diff_bisectSplit_(a,b,r,y,c)}}return[[DIFF_DELETE,a],[DIFF_INSERT,b]]};\ndiff_match_patch.prototype.diff_bisectSplit_=function(a,b,c,d,e){var f=a.substring(0,c),g=b.substring(0,d);a=a.substring(c);b=b.substring(d);f=this.diff_main(f,g,!1,e);e=this.diff_main(a,b,!1,e);return f.concat(e)};\ndiff_match_patch.prototype.diff_linesToChars_=function(a,b){function c(a){for(var b=\"\",c=0,f=-1,g=d.length;f<a.length-1;){f=a.indexOf(\"\\n\",c);-1==f&&(f=a.length-1);var h=a.substring(c,f+1);c=f+1;(e.hasOwnProperty?e.hasOwnProperty(h):void 0!==e[h])?b+=String.fromCharCode(e[h]):(b+=String.fromCharCode(g),e[h]=g,d[g++]=h)}return b}var d=[],e={};d[0]=\"\";var f=c(a),g=c(b);return{chars1:f,chars2:g,lineArray:d}};\ndiff_match_patch.prototype.diff_charsToLines_=function(a,b){for(var c=0;c<a.length;c++){for(var d=a[c][1],e=[],f=0;f<d.length;f++)e[f]=b[d.charCodeAt(f)];a[c][1]=e.join(\"\")}};diff_match_patch.prototype.diff_commonPrefix=function(a,b){if(!a||!b||a.charAt(0)!=b.charAt(0))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(f,e)==b.substring(f,e)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonSuffix=function(a,b){if(!a||!b||a.charAt(a.length-1)!=b.charAt(b.length-1))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(a.length-e,a.length-f)==b.substring(b.length-e,b.length-f)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonOverlap_=function(a,b){var c=a.length,d=b.length;if(0==c||0==d)return 0;c>d?a=a.substring(c-d):c<d&&(b=b.substring(0,c));c=Math.min(c,d);if(a==b)return c;d=0;for(var e=1;;){var f=a.substring(c-e);f=b.indexOf(f);if(-1==f)return d;e+=f;if(0==f||a.substring(c-e)==b.substring(0,e))d=e,e++}};\ndiff_match_patch.prototype.diff_halfMatch_=function(a,b){function c(a,b,c){for(var d=a.substring(c,c+Math.floor(a.length/4)),e=-1,g=\"\",h,k,l,m;-1!=(e=b.indexOf(d,e+1));){var p=f.diff_commonPrefix(a.substring(c),b.substring(e)),u=f.diff_commonSuffix(a.substring(0,c),b.substring(0,e));g.length<u+p&&(g=b.substring(e-u,e)+b.substring(e,e+p),h=a.substring(0,c-u),k=a.substring(c+p),l=b.substring(0,e-u),m=b.substring(e+p))}return 2*g.length>=a.length?[h,k,l,m,g]:null}if(0>=this.Diff_Timeout)return null;\nvar d=a.length>b.length?a:b,e=a.length>b.length?b:a;if(4>d.length||2*e.length<d.length)return null;var f=this,g=c(d,e,Math.ceil(d.length/4));d=c(d,e,Math.ceil(d.length/2));if(g||d)g=d?g?g[4].length>d[4].length?g:d:d:g;else return null;if(a.length>b.length){d=g[0];e=g[1];var h=g[2];var l=g[3]}else h=g[0],l=g[1],d=g[2],e=g[3];return[d,e,h,l,g[4]]};\ndiff_match_patch.prototype.diff_cleanupSemantic=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=0,h=0,l=0,k=0;f<a.length;)a[f][0]==DIFF_EQUAL?(c[d++]=f,g=l,h=k,k=l=0,e=a[f][1]):(a[f][0]==DIFF_INSERT?l+=a[f][1].length:k+=a[f][1].length,e&&e.length<=Math.max(g,h)&&e.length<=Math.max(l,k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,d--,f=0<d?c[d-1]:-1,k=l=h=g=0,e=null,b=!0)),f++;b&&this.diff_cleanupMerge(a);this.diff_cleanupSemanticLossless(a);for(f=1;f<a.length;){if(a[f-1][0]==\nDIFF_DELETE&&a[f][0]==DIFF_INSERT){b=a[f-1][1];c=a[f][1];d=this.diff_commonOverlap_(b,c);e=this.diff_commonOverlap_(c,b);if(d>=e){if(d>=b.length/2||d>=c.length/2)a.splice(f,0,[DIFF_EQUAL,c.substring(0,d)]),a[f-1][1]=b.substring(0,b.length-d),a[f+1][1]=c.substring(d),f++}else if(e>=b.length/2||e>=c.length/2)a.splice(f,0,[DIFF_EQUAL,b.substring(0,e)]),a[f-1][0]=DIFF_INSERT,a[f-1][1]=c.substring(0,c.length-e),a[f+1][0]=DIFF_DELETE,a[f+1][1]=b.substring(e),f++;f++}f++}};\ndiff_match_patch.prototype.diff_cleanupSemanticLossless=function(a){function b(a,b){if(!a||!b)return 6;var c=a.charAt(a.length-1),d=b.charAt(0),e=c.match(diff_match_patch.nonAlphaNumericRegex_),f=d.match(diff_match_patch.nonAlphaNumericRegex_),g=e&&c.match(diff_match_patch.whitespaceRegex_),h=f&&d.match(diff_match_patch.whitespaceRegex_);c=g&&c.match(diff_match_patch.linebreakRegex_);d=h&&d.match(diff_match_patch.linebreakRegex_);var k=c&&a.match(diff_match_patch.blanklineEndRegex_),l=d&&b.match(diff_match_patch.blanklineStartRegex_);\nreturn k||l?5:c||d?4:e&&!g&&h?3:g||h?2:e||f?1:0}for(var c=1;c<a.length-1;){if(a[c-1][0]==DIFF_EQUAL&&a[c+1][0]==DIFF_EQUAL){var d=a[c-1][1],e=a[c][1],f=a[c+1][1],g=this.diff_commonSuffix(d,e);if(g){var h=e.substring(e.length-g);d=d.substring(0,d.length-g);e=h+e.substring(0,e.length-g);f=h+f}g=d;h=e;for(var l=f,k=b(d,e)+b(e,f);e.charAt(0)===f.charAt(0);){d+=e.charAt(0);e=e.substring(1)+f.charAt(0);f=f.substring(1);var m=b(d,e)+b(e,f);m>=k&&(k=m,g=d,h=e,l=f)}a[c-1][1]!=g&&(g?a[c-1][1]=g:(a.splice(c-\n1,1),c--),a[c][1]=h,l?a[c+1][1]=l:(a.splice(c+1,1),c--))}c++}};diff_match_patch.nonAlphaNumericRegex_=/[^a-zA-Z0-9]/;diff_match_patch.whitespaceRegex_=/\\s/;diff_match_patch.linebreakRegex_=/[\\r\\n]/;diff_match_patch.blanklineEndRegex_=/\\n\\r?\\n$/;diff_match_patch.blanklineStartRegex_=/^\\r?\\n\\r?\\n/;\ndiff_match_patch.prototype.diff_cleanupEfficiency=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=!1,h=!1,l=!1,k=!1;f<a.length;)a[f][0]==DIFF_EQUAL?(a[f][1].length<this.Diff_EditCost&&(l||k)?(c[d++]=f,g=l,h=k,e=a[f][1]):(d=0,e=null),l=k=!1):(a[f][0]==DIFF_DELETE?k=!0:l=!0,e&&(g&&h&&l&&k||e.length<this.Diff_EditCost/2&&3==g+h+l+k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,e=null,g&&h?(l=k=!0,d=0):(d--,f=0<d?c[d-1]:-1,l=k=!1),b=!0)),f++;b&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_cleanupMerge=function(a){a.push([DIFF_EQUAL,\"\"]);for(var b=0,c=0,d=0,e=\"\",f=\"\",g;b<a.length;)switch(a[b][0]){case DIFF_INSERT:d++;f+=a[b][1];b++;break;case DIFF_DELETE:c++;e+=a[b][1];b++;break;case DIFF_EQUAL:1<c+d?(0!==c&&0!==d&&(g=this.diff_commonPrefix(f,e),0!==g&&(0<b-c-d&&a[b-c-d-1][0]==DIFF_EQUAL?a[b-c-d-1][1]+=f.substring(0,g):(a.splice(0,0,[DIFF_EQUAL,f.substring(0,g)]),b++),f=f.substring(g),e=e.substring(g)),g=this.diff_commonSuffix(f,e),0!==g&&(a[b][1]=f.substring(f.length-\ng)+a[b][1],f=f.substring(0,f.length-g),e=e.substring(0,e.length-g))),0===c?a.splice(b-d,c+d,[DIFF_INSERT,f]):0===d?a.splice(b-c,c+d,[DIFF_DELETE,e]):a.splice(b-c-d,c+d,[DIFF_DELETE,e],[DIFF_INSERT,f]),b=b-c-d+(c?1:0)+(d?1:0)+1):0!==b&&a[b-1][0]==DIFF_EQUAL?(a[b-1][1]+=a[b][1],a.splice(b,1)):b++,c=d=0,f=e=\"\"}\"\"===a[a.length-1][1]&&a.pop();c=!1;for(b=1;b<a.length-1;)a[b-1][0]==DIFF_EQUAL&&a[b+1][0]==DIFF_EQUAL&&(a[b][1].substring(a[b][1].length-a[b-1][1].length)==a[b-1][1]?(a[b][1]=a[b-1][1]+a[b][1].substring(0,\na[b][1].length-a[b-1][1].length),a[b+1][1]=a[b-1][1]+a[b+1][1],a.splice(b-1,1),c=!0):a[b][1].substring(0,a[b+1][1].length)==a[b+1][1]&&(a[b-1][1]+=a[b+1][1],a[b][1]=a[b][1].substring(a[b+1][1].length)+a[b+1][1],a.splice(b+1,1),c=!0)),b++;c&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_xIndex=function(a,b){var c=0,d=0,e=0,f=0,g;for(g=0;g<a.length;g++){a[g][0]!==DIFF_INSERT&&(c+=a[g][1].length);a[g][0]!==DIFF_DELETE&&(d+=a[g][1].length);if(c>b)break;e=c;f=d}return a.length!=g&&a[g][0]===DIFF_DELETE?f:f+(b-e)};\ndiff_match_patch.prototype.diff_prettyHtml=function(a){for(var b=[],c=/&/g,d=/</g,e=/>/g,f=/\\n/g,g=0;g<a.length;g++){var h=a[g][0],l=a[g][1].replace(c,\"&\").replace(d,\"<\").replace(e,\">\").replace(f,\"¶<br>\");switch(h){case DIFF_INSERT:b[g]='<ins style=\"background:#e6ffe6;\">'+l+\"</ins>\";break;case DIFF_DELETE:b[g]='<del style=\"background:#ffe6e6;\">'+l+\"</del>\";break;case DIFF_EQUAL:b[g]=\"<span>\"+l+\"</span>\"}}return b.join(\"\")};\ndiff_match_patch.prototype.diff_text1=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_INSERT&&(b[c]=a[c][1]);return b.join(\"\")};diff_match_patch.prototype.diff_text2=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_DELETE&&(b[c]=a[c][1]);return b.join(\"\")};\ndiff_match_patch.prototype.diff_levenshtein=function(a){for(var b=0,c=0,d=0,e=0;e<a.length;e++){var f=a[e][1];switch(a[e][0]){case DIFF_INSERT:c+=f.length;break;case DIFF_DELETE:d+=f.length;break;case DIFF_EQUAL:b+=Math.max(c,d),d=c=0}}return b+=Math.max(c,d)};\ndiff_match_patch.prototype.diff_toDelta=function(a){for(var b=[],c=0;c<a.length;c++)switch(a[c][0]){case DIFF_INSERT:b[c]=\"+\"+encodeURI(a[c][1]);break;case DIFF_DELETE:b[c]=\"-\"+a[c][1].length;break;case DIFF_EQUAL:b[c]=\"=\"+a[c][1].length}return b.join(\"\\t\").replace(/%20/g,\" \")};\ndiff_match_patch.prototype.diff_fromDelta=function(a,b){for(var c=[],d=0,e=0,f=b.split(/\\t/g),g=0;g<f.length;g++){var h=f[g].substring(1);switch(f[g].charAt(0)){case \"+\":try{c[d++]=[DIFF_INSERT,decodeURI(h)]}catch(k){throw Error(\"Illegal escape in diff_fromDelta: \"+h);}break;case \"-\":case \"=\":var l=parseInt(h,10);if(isNaN(l)||0>l)throw Error(\"Invalid number in diff_fromDelta: \"+h);h=a.substring(e,e+=l);\"=\"==f[g].charAt(0)?c[d++]=[DIFF_EQUAL,h]:c[d++]=[DIFF_DELETE,h];break;default:if(f[g])throw Error(\"Invalid diff operation in diff_fromDelta: \"+\nf[g]);}}if(e!=a.length)throw Error(\"Delta length (\"+e+\") does not equal source text length (\"+a.length+\").\");return c};diff_match_patch.prototype.match_main=function(a,b,c){if(null==a||null==b||null==c)throw Error(\"Null input. (match_main)\");c=Math.max(0,Math.min(c,a.length));return a==b?0:a.length?a.substring(c,c+b.length)==b?c:this.match_bitap_(a,b,c):-1};\ndiff_match_patch.prototype.match_bitap_=function(a,b,c){function d(a,d){var e=a/b.length,g=Math.abs(c-d);return f.Match_Distance?e+g/f.Match_Distance:g?1:e}if(b.length>this.Match_MaxBits)throw Error(\"Pattern too long for this browser.\");var e=this.match_alphabet_(b),f=this,g=this.Match_Threshold,h=a.indexOf(b,c);-1!=h&&(g=Math.min(d(0,h),g),h=a.lastIndexOf(b,c+b.length),-1!=h&&(g=Math.min(d(0,h),g)));var l=1<<b.length-1;h=-1;for(var k,m,p=b.length+a.length,x,w=0;w<b.length;w++){k=0;for(m=p;k<m;)d(w,\nc+m)<=g?k=m:p=m,m=Math.floor((p-k)/2+k);p=m;k=Math.max(1,c-m+1);var q=Math.min(c+m,a.length)+b.length;m=Array(q+2);for(m[q+1]=(1<<w)-1;q>=k;q--){var t=e[a.charAt(q-1)];m[q]=0===w?(m[q+1]<<1|1)&t:(m[q+1]<<1|1)&t|(x[q+1]|x[q])<<1|1|x[q+1];if(m[q]&l&&(t=d(w,q-1),t<=g))if(g=t,h=q-1,h>c)k=Math.max(1,2*c-h);else break}if(d(w+1,c)>g)break;x=m}return h};\ndiff_match_patch.prototype.match_alphabet_=function(a){for(var b={},c=0;c<a.length;c++)b[a.charAt(c)]=0;for(c=0;c<a.length;c++)b[a.charAt(c)]|=1<<a.length-c-1;return b};\ndiff_match_patch.prototype.patch_addContext_=function(a,b){if(0!=b.length){for(var c=b.substring(a.start2,a.start2+a.length1),d=0;b.indexOf(c)!=b.lastIndexOf(c)&&c.length<this.Match_MaxBits-this.Patch_Margin-this.Patch_Margin;)d+=this.Patch_Margin,c=b.substring(a.start2-d,a.start2+a.length1+d);d+=this.Patch_Margin;(c=b.substring(a.start2-d,a.start2))&&a.diffs.unshift([DIFF_EQUAL,c]);(d=b.substring(a.start2+a.length1,a.start2+a.length1+d))&&a.diffs.push([DIFF_EQUAL,d]);a.start1-=c.length;a.start2-=\nc.length;a.length1+=c.length+d.length;a.length2+=c.length+d.length}};\ndiff_match_patch.prototype.patch_make=function(a,b,c){if(\"string\"==typeof a&&\"string\"==typeof b&&\"undefined\"==typeof c){var d=a;b=this.diff_main(d,b,!0);2<b.length&&(this.diff_cleanupSemantic(b),this.diff_cleanupEfficiency(b))}else if(a&&\"object\"==typeof a&&\"undefined\"==typeof b&&\"undefined\"==typeof c)b=a,d=this.diff_text1(b);else if(\"string\"==typeof a&&b&&\"object\"==typeof b&&\"undefined\"==typeof c)d=a;else if(\"string\"==typeof a&&\"string\"==typeof b&&c&&\"object\"==typeof c)d=a,b=c;else throw Error(\"Unknown call format to patch_make.\");\nif(0===b.length)return[];c=[];a=new diff_match_patch.patch_obj;for(var e=0,f=0,g=0,h=d,l=0;l<b.length;l++){var k=b[l][0],m=b[l][1];e||k===DIFF_EQUAL||(a.start1=f,a.start2=g);switch(k){case DIFF_INSERT:a.diffs[e++]=b[l];a.length2+=m.length;d=d.substring(0,g)+m+d.substring(g);break;case DIFF_DELETE:a.length1+=m.length;a.diffs[e++]=b[l];d=d.substring(0,g)+d.substring(g+m.length);break;case DIFF_EQUAL:m.length<=2*this.Patch_Margin&&e&&b.length!=l+1?(a.diffs[e++]=b[l],a.length1+=m.length,a.length2+=m.length):\nm.length>=2*this.Patch_Margin&&e&&(this.patch_addContext_(a,h),c.push(a),a=new diff_match_patch.patch_obj,e=0,h=d,f=g)}k!==DIFF_INSERT&&(f+=m.length);k!==DIFF_DELETE&&(g+=m.length)}e&&(this.patch_addContext_(a,h),c.push(a));return c};\ndiff_match_patch.prototype.patch_deepCopy=function(a){for(var b=[],c=0;c<a.length;c++){var d=a[c],e=new diff_match_patch.patch_obj;e.diffs=[];for(var f=0;f<d.diffs.length;f++)e.diffs[f]=d.diffs[f].slice();e.start1=d.start1;e.start2=d.start2;e.length1=d.length1;e.length2=d.length2;b[c]=e}return b};\ndiff_match_patch.prototype.patch_apply=function(a,b){if(0==a.length)return[b,[]];a=this.patch_deepCopy(a);var c=this.patch_addPadding(a);b=c+b+c;this.patch_splitMax(a);for(var d=0,e=[],f=0;f<a.length;f++){var g=a[f].start2+d,h=this.diff_text1(a[f].diffs),l=-1;if(h.length>this.Match_MaxBits){var k=this.match_main(b,h.substring(0,this.Match_MaxBits),g);-1!=k&&(l=this.match_main(b,h.substring(h.length-this.Match_MaxBits),g+h.length-this.Match_MaxBits),-1==l||k>=l)&&(k=-1)}else k=this.match_main(b,h,\ng);if(-1==k)e[f]=!1,d-=a[f].length2-a[f].length1;else if(e[f]=!0,d=k-g,g=-1==l?b.substring(k,k+h.length):b.substring(k,l+this.Match_MaxBits),h==g)b=b.substring(0,k)+this.diff_text2(a[f].diffs)+b.substring(k+h.length);else if(g=this.diff_main(h,g,!1),h.length>this.Match_MaxBits&&this.diff_levenshtein(g)/h.length>this.Patch_DeleteThreshold)e[f]=!1;else{this.diff_cleanupSemanticLossless(g);h=0;var m;for(l=0;l<a[f].diffs.length;l++){var p=a[f].diffs[l];p[0]!==DIFF_EQUAL&&(m=this.diff_xIndex(g,h));p[0]===\nDIFF_INSERT?b=b.substring(0,k+m)+p[1]+b.substring(k+m):p[0]===DIFF_DELETE&&(b=b.substring(0,k+m)+b.substring(k+this.diff_xIndex(g,h+p[1].length)));p[0]!==DIFF_DELETE&&(h+=p[1].length)}}}b=b.substring(c.length,b.length-c.length);return[b,e]};\ndiff_match_patch.prototype.patch_addPadding=function(a){for(var b=this.Patch_Margin,c=\"\",d=1;d<=b;d++)c+=String.fromCharCode(d);for(d=0;d<a.length;d++)a[d].start1+=b,a[d].start2+=b;d=a[0];var e=d.diffs;if(0==e.length||e[0][0]!=DIFF_EQUAL)e.unshift([DIFF_EQUAL,c]),d.start1-=b,d.start2-=b,d.length1+=b,d.length2+=b;else if(b>e[0][1].length){var f=b-e[0][1].length;e[0][1]=c.substring(e[0][1].length)+e[0][1];d.start1-=f;d.start2-=f;d.length1+=f;d.length2+=f}d=a[a.length-1];e=d.diffs;0==e.length||e[e.length-\n1][0]!=DIFF_EQUAL?(e.push([DIFF_EQUAL,c]),d.length1+=b,d.length2+=b):b>e[e.length-1][1].length&&(f=b-e[e.length-1][1].length,e[e.length-1][1]+=c.substring(0,f),d.length1+=f,d.length2+=f);return c};\ndiff_match_patch.prototype.patch_splitMax=function(a){for(var b=this.Match_MaxBits,c=0;c<a.length;c++)if(!(a[c].length1<=b)){var d=a[c];a.splice(c--,1);for(var e=d.start1,f=d.start2,g=\"\";0!==d.diffs.length;){var h=new diff_match_patch.patch_obj,l=!0;h.start1=e-g.length;h.start2=f-g.length;\"\"!==g&&(h.length1=h.length2=g.length,h.diffs.push([DIFF_EQUAL,g]));for(;0!==d.diffs.length&&h.length1<b-this.Patch_Margin;){g=d.diffs[0][0];var k=d.diffs[0][1];g===DIFF_INSERT?(h.length2+=k.length,f+=k.length,h.diffs.push(d.diffs.shift()),\nl=!1):g===DIFF_DELETE&&1==h.diffs.length&&h.diffs[0][0]==DIFF_EQUAL&&k.length>2*b?(h.length1+=k.length,e+=k.length,l=!1,h.diffs.push([g,k]),d.diffs.shift()):(k=k.substring(0,b-h.length1-this.Patch_Margin),h.length1+=k.length,e+=k.length,g===DIFF_EQUAL?(h.length2+=k.length,f+=k.length):l=!1,h.diffs.push([g,k]),k==d.diffs[0][1]?d.diffs.shift():d.diffs[0][1]=d.diffs[0][1].substring(k.length))}g=this.diff_text2(h.diffs);g=g.substring(g.length-this.Patch_Margin);k=this.diff_text1(d.diffs).substring(0,\nthis.Patch_Margin);\"\"!==k&&(h.length1+=k.length,h.length2+=k.length,0!==h.diffs.length&&h.diffs[h.diffs.length-1][0]===DIFF_EQUAL?h.diffs[h.diffs.length-1][1]+=k:h.diffs.push([DIFF_EQUAL,k]));l||a.splice(++c,0,h)}}};diff_match_patch.prototype.patch_toText=function(a){for(var b=[],c=0;c<a.length;c++)b[c]=a[c];return b.join(\"\")};\ndiff_match_patch.prototype.patch_fromText=function(a){var b=[];if(!a)return b;a=a.split(\"\\n\");for(var c=0,d=/^@@ -(\\d+),?(\\d*) \\+(\\d+),?(\\d*) @@$/;c<a.length;){var e=a[c].match(d);if(!e)throw Error(\"Invalid patch string: \"+a[c]);var f=new diff_match_patch.patch_obj;b.push(f);f.start1=parseInt(e[1],10);\"\"===e[2]?(f.start1--,f.length1=1):\"0\"==e[2]?f.length1=0:(f.start1--,f.length1=parseInt(e[2],10));f.start2=parseInt(e[3],10);\"\"===e[4]?(f.start2--,f.length2=1):\"0\"==e[4]?f.length2=0:(f.start2--,f.length2=\nparseInt(e[4],10));for(c++;c<a.length;){e=a[c].charAt(0);try{var g=decodeURI(a[c].substring(1))}catch(h){throw Error(\"Illegal escape in patch_fromText: \"+g);}if(\"-\"==e)f.diffs.push([DIFF_DELETE,g]);else if(\"+\"==e)f.diffs.push([DIFF_INSERT,g]);else if(\" \"==e)f.diffs.push([DIFF_EQUAL,g]);else if(\"@\"==e)break;else if(\"\"!==e)throw Error('Invalid patch mode \"'+e+'\" in: '+g);c++}}return b};diff_match_patch.patch_obj=function(){this.diffs=[];this.start2=this.start1=null;this.length2=this.length1=0};\ndiff_match_patch.patch_obj.prototype.toString=function(){for(var a=[\"@@ -\"+(0===this.length1?this.start1+\",0\":1==this.length1?this.start1+1:this.start1+1+\",\"+this.length1)+\" +\"+(0===this.length2?this.start2+\",0\":1==this.length2?this.start2+1:this.start2+1+\",\"+this.length2)+\" @@\\n\"],b,c=0;c<this.diffs.length;c++){switch(this.diffs[c][0]){case DIFF_INSERT:b=\"+\";break;case DIFF_DELETE:b=\"-\";break;case DIFF_EQUAL:b=\" \"}a[c+1]=b+encodeURI(this.diffs[c][1])+\"\\n\"}return a.join(\"\").replace(/%20/g,\" \")};\nthis.diff_match_patch=diff_match_patch;this.DIFF_DELETE=DIFF_DELETE;this.DIFF_INSERT=DIFF_INSERT;this.DIFF_EQUAL=DIFF_EQUAL;\n}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/diff-match-patch/diff_match_patch.js",
"module-type": "library"
},
"$:/core/modules/utils/dom/animations/slide.js": {
"title": "$:/core/modules/utils/dom/animations/slide.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "animation"
},
"$:/core/modules/utils/dom/animator.js": {
"title": "$:/core/modules/utils/dom/animator.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/browser.js": {
"title": "$:/core/modules/utils/dom/browser.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/csscolorparser.js": {
"title": "$:/core/modules/utils/dom/csscolorparser.js",
"text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) { // Clamp to integer 0 .. 255.\n i = Math.round(i); // Seems to be what Chrome does (vs truncation).\n return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) { // Clamp to float 0.0 .. 1.0.\n return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) { // int or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_byte(parseFloat(str) / 100 * 255);\n return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) { // float or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_float(parseFloat(str) / 100);\n return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n if (h < 0) h += 1;\n else if (h > 1) h -= 1;\n\n if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n if (h * 2 < 1) return m2;\n if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n return m1;\n}\n\nfunction parseCSSColor(css_str) {\n // Remove all whitespace, not compliant, but should just be more accepting.\n var str = css_str.replace(/ /g, '').toLowerCase();\n\n // Color keywords (and transparent) lookup.\n if (str in kCSSColorTable) return kCSSColorTable[str].slice(); // dup.\n\n // #abc and #abc123 syntax.\n if (str[0] === '#') {\n if (str.length === 4) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xfff)) return null; // Covers NaN.\n return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n (iv & 0xf0) | ((iv & 0xf0) >> 4),\n (iv & 0xf) | ((iv & 0xf) << 4),\n 1];\n } else if (str.length === 7) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xffffff)) return null; // Covers NaN.\n return [(iv & 0xff0000) >> 16,\n (iv & 0xff00) >> 8,\n iv & 0xff,\n 1];\n }\n\n return null;\n }\n\n var op = str.indexOf('('), ep = str.indexOf(')');\n if (op !== -1 && ep + 1 === str.length) {\n var fname = str.substr(0, op);\n var params = str.substr(op+1, ep-(op+1)).split(',');\n var alpha = 1; // To allow case fallthrough.\n switch (fname) {\n case 'rgba':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'rgb':\n if (params.length !== 3) return null;\n return [parse_css_int(params[0]),\n parse_css_int(params[1]),\n parse_css_int(params[2]),\n alpha];\n case 'hsla':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'hsl':\n if (params.length !== 3) return null;\n var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360; // 0 .. 1\n // NOTE(deanm): According to the CSS spec s/l should only be\n // percentages, but we don't bother and let float or percentage.\n var s = parse_css_float(params[1]);\n var l = parse_css_float(params[2]);\n var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n var m1 = l * 2 - m2;\n return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n alpha];\n default:\n return null;\n }\n }\n\n return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom.js": {
"title": "$:/core/modules/utils/dom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.hasAttribute && el.hasAttribute(\"class\") && el.getAttribute(\"class\").split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = (el.getAttribute(\"class\") || \"\").split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t\tel.setAttribute(\"class\",c.join(\" \"));\n\t}\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = (el.getAttribute(\"class\") || \"\").split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.setAttribute(\"class\",c.join(\" \"));\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function(srcWindow) {\n\tvar scrollWindow = srcWindow || window;\n\tif(\"scrollX\" in scrollWindow) {\n\t\treturn {x: scrollWindow.scrollX, y: scrollWindow.scrollY};\n\t} else {\n\t\treturn {x: scrollWindow.document.documentElement.scrollLeft, y: scrollWindow.document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight || parseInt(minHeight,10);\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(element.ownerDocument.defaultView),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\tvar done = false;\n\ttry {\n\t\twindow.localStorage.setItem(\"tw5-password-\" + name,password);\n\t\tdone = true;\n\t} catch(e) {\n\t}\n\tif(!done) {\n\t\t$tw.savedPasswords = $tw.savedPasswords || Object.create(null);\n\t\t$tw.savedPasswords[name] = password;\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\tvar value;\n\ttry {\n\t\tvalue = window.localStorage.getItem(\"tw5-password-\" + name);\n\t} catch(e) {\n\t}\n\tif(value !== undefined) {\n\t\treturn value;\n\t} else {\n\t\treturn ($tw.savedPasswords || Object.create(null))[name] || \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n/*\nCopy plain text to the clipboard on browsers that support it\n*/\nexports.copyToClipboard = function(text,options) {\n\toptions = options || {};\n\tvar textArea = document.createElement(\"textarea\");\n\ttextArea.style.position = \"fixed\";\n\ttextArea.style.top = 0;\n\ttextArea.style.left = 0;\n\ttextArea.style.fontSize = \"12pt\";\n\ttextArea.style.width = \"2em\";\n\ttextArea.style.height = \"2em\";\n\ttextArea.style.padding = 0;\n\ttextArea.style.border = \"none\";\n\ttextArea.style.outline = \"none\";\n\ttextArea.style.boxShadow = \"none\";\n\ttextArea.style.background = \"transparent\";\n\ttextArea.value = text;\n\tdocument.body.appendChild(textArea);\n\ttextArea.select();\n\ttextArea.setSelectionRange(0,text.length);\n\tvar succeeded = false;\n\ttry {\n\t\tsucceeded = document.execCommand(\"copy\");\n\t} catch (err) {\n\t}\n\tif(!options.doNotNotify) {\n\t\t$tw.notifier.display(succeeded ? \"$:/language/Notifications/CopiedToClipboard/Succeeded\" : \"$:/language/Notifications/CopiedToClipboard/Failed\");\n\t}\n\tdocument.body.removeChild(textArea);\n};\n\nexports.getLocationPath = function() {\n\treturn window.location.toString().split(\"#\")[0];\n};\n\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/dragndrop.js": {
"title": "$:/core/modules/utils/dom/dragndrop.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\ndragImageType: \"pill\" or \"dom\"\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the contect for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif((domNode.tagName || \"\").toLowerCase() !== \"a\") {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\t\t\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\tif(event.dataTransfer === undefined) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \tstartActions = options.startActions;\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && event.target === domNode) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(event.target,\"tc-dragging\");\n\t\t\t\t// Invoke drag-start actions if given\n\t\t\t\tif(startActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(startActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif(event.target === domNode) {\n\t\t\t\t// Collect the tiddlers being dragged\n\t\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \t\tendActions = options.endActions;\n\t\t\t\tif(dragFilter) {\n\t\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t\t}\n\t\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Invoke drag-end actions if given\n\t\t\t\tif(endActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(endActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(event.target,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Available data types:\");\n\t\tfor(var type=0; type<dataTransfer.types.length; type++) {\n\t\t\tconsole.log(\"type\",dataTransfer.types[type],dataTransfer.getData(dataTransfer.types[type]))\n\t\t}\n\t}\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = JSON.parse(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/http.js": {
"title": "$:/core/modules/utils/dom/http.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\theaders: hashmap of headers to send\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data,xhr)\n\treturnProp: string name of the property to return as first argument of callback\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\turl = options.url,\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\thasHeader = function(targetHeader) {\n\t\t\ttargetHeader = targetHeader.toLowerCase();\n\t\t\tvar result = false;\n\t\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\t\tif(headerTitle.toLowerCase() === targetHeader) {\n\t\t\t\t\tresult = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn result;\n\t\t},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tif(type === \"GET\" || type === \"HEAD\") {\n\t\t\t\turl += \"?\" + results.join(\"&\");\n\t\t\t} else {\n\t\t\t\tdata = results.join(\"&\");\n\t\t\t}\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status,null,this);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !hasHeader(\"Content-Type\")) {\n\t\trequest.setRequestHeader(\"Content-Type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\tif(!hasHeader(\"X-Requested-With\")) {\n\t\trequest.setRequestHeader(\"X-Requested-With\",\"TiddlyWiki\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e,null,this);\n\t}\n\treturn request;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/keyboard.js": {
"title": "$:/core/modules/utils/dom/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/modal.js": {
"title": "$:/core/modules/utils/dom/modal.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\nvar navigator = require(\"$:/core/modules/widgets/navigator.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tthis.srcDocument = options.variables && (options.variables.rootwindow === \"true\" ||\n\t\t\t\toptions.variables.rootwindow === \"yes\") ? document :\n\t\t\t\t(options.event.event && options.event.event.target ? options.event.event.target.ownerDocument : document);\n\tthis.srcWindow = this.srcDocument.defaultView;\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({\n\t\t\tcurrentTiddler: title,\n\t\t\t\"tv-story-list\": (options.event && options.event.widget ? options.event.widget.getVariable(\"tv-story-list\") : \"\"),\n\t\t\t\"tv-history-list\": (options.event && options.event.widget ? options.event.widget.getVariable(\"tv-history-list\") : \"\")\n\t\t},options.variables);\n\n\t// Create the wrapper divs\n\tvar wrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalBackdrop = this.srcDocument.createElement(\"div\"),\n\t\tmodalWrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalHeader = this.srcDocument.createElement(\"div\"),\n\t\theaderTitle = this.srcDocument.createElement(\"h3\"),\n\t\tmodalBody = this.srcDocument.createElement(\"div\"),\n\t\tmodalLink = this.srcDocument.createElement(\"a\"),\n\t\tmodalFooter = this.srcDocument.createElement(\"div\"),\n\t\tmodalFooterHelp = this.srcDocument.createElement(\"span\"),\n\t\tmodalFooterButtons = this.srcDocument.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\tif(tiddler.fields && tiddler.fields.class) {\n\t\t$tw.utils.addClass(wrapper,tiddler.fields.class);\n\t}\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\tvar navigatorTree = {\n\t\t\"type\": \"navigator\",\n\t\t\"attributes\": {\n\t\t\t\"story\": {\n\t\t\t\t\"name\": \"story\",\n\t\t\t\t\"type\": \"string\",\n\t\t\t\t\"value\": variables[\"tv-story-list\"]\n\t\t\t},\n\t\t\t\"history\": {\n\t\t\t\t\"name\": \"history\",\n\t\t\t\t\"type\": \"string\",\n\t\t\t\t\"value\": variables[\"tv-history-list\"]\n\t\t\t}\n\t\t},\n\t\t\"tag\": \"$navigator\",\n\t\t\"isBlock\": true,\n\t\t\"children\": []\n\t};\n\tvar navigatorWidgetNode = new navigator.navigator(navigatorTree, {\n\t\twiki: this.wiki,\n\t\tdocument : this.srcDocument,\n\t\tparentWidget: $tw.rootWidget\n\t});\n\tnavigatorWidgetNode.render(modalBody,null);\n\t\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(this.srcDocument.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler.fields && tiddler.fields.help) {\n\t\tvar link = this.srcDocument.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(this.srcDocument.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + self.srcWindow.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\tself.srcWindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tself.srcDocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-this.srcWindow.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tthis.srcDocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tvar windowContainer = $tw.pageContainer ? ($tw.pageContainer === this.srcDocument.body.firstChild ? $tw.pageContainer : this.srcDocument.body.firstChild) : null;\n\tif(windowContainer) {\n\t\t$tw.utils.toggleClass(windowContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/notifier.js": {
"title": "$:/core/modules/utils/dom/notifier.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/popup.js": {
"title": "$:/core/modules/utils/dom/popup.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned (one of domNode or domNodeRect is required)\n\tdomNodeRect: rectangle to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n\tfloating: if true, skips registering the popup, meaning that it will need manually clearing\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\n\t// Store the popup details if not already there\n\tif(!options.floating && this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode,\n\t\t\tnoStateReference: options.noStateReference\n\t\t});\n\t}\n\t// Set the state tiddler\n\tvar rect;\n\tif(options.domNodeRect) {\n\t\trect = options.domNodeRect;\n\t} else {\n\t\trect = {\n\t\t\tleft: options.domNode.offsetLeft,\n\t\t\ttop: options.domNode.offsetTop,\n\t\t\twidth: options.domNode.offsetWidth,\n\t\t\theight: options.domNode.offsetHeight\n\t\t};\n\t}\n\tvar popupRect = \"(\" + rect.left + \",\" + rect.top + \",\" + \n\t\t\t\trect.width + \",\" + rect.height + \")\";\n\tif(options.noStateReference) {\n\t\toptions.wiki.setText(options.title,\"text\",undefined,popupRect);\n\t} else {\n\t\toptions.wiki.setTextReference(options.title,popupRect);\n\t}\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tif(popup.noStateReference) {\n\t\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t\t} else {\n\t\t\t\tpopup.wiki.deleteTiddler($tw.utils.parseTextReference(popup.title).title);\n \t\t}\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/scroller.js": {
"title": "$:/core/modules/utils/dom/scroller.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.isScrolling = function() {\n\treturn this.idRequestFrame !== null;\n}\n\nPageScroller.prototype.cancelScroll = function(srcWindow) {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(srcWindow,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\tif(event.paramObject && event.paramObject.selector) {\n\t\t\tthis.scrollSelectorIntoView(null,event.paramObject.selector);\n\t\t} else {\n\t\t\tthis.scrollIntoView(event.target);\t\t\t\n\t\t}\n\t\treturn false; // Event was handled\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element,callback) {\n\tvar self = this,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t srcWindow = element ? element.ownerDocument.defaultView : window;\n\t// Now get ready to scroll the body\n\tthis.cancelScroll(srcWindow);\n\tthis.startTime = Date.now();\n\t// Get the height of any position:fixed toolbars\n\tvar toolbar = srcWindow.document.querySelector(\".tc-adjust-top-of-scroll\"),\n\t\toffset = 0;\n\tif(toolbar) {\n\t\toffset = toolbar.offsetHeight;\n\t}\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar getBounds = function() {\n\t\t\tvar clientBounds = typeof callback === 'function' ? callback() : element.getBoundingClientRect(),\n\t\t\t\tscrollPosition = $tw.utils.getScrollPosition(srcWindow);\n\t\t\treturn {\n\t\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\t\ttop: clientBounds.top + scrollPosition.y - offset,\n\t\t\t\twidth: clientBounds.width,\n\t\t\t\theight: clientBounds.height\n\t\t\t};\n\t\t},\n\t\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t\t// targetPos/targetSize - position and size of the target element\n\t\t// currentPos/currentSize - position and size of the current scroll viewport\n\t\t// returns: new position of the scroll viewport\n\t\tgetEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = targetPos;\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tdrawFrame = function drawFrame() {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll(srcWindow);\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tvar scrollPosition = $tw.utils.getScrollPosition(srcWindow),\n\t\t\t\tbounds = getBounds(),\n\t\t\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,srcWindow.innerWidth),\n\t\t\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,srcWindow.innerHeight);\n\t\t\tsrcWindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\tdrawFrame();\n};\n\nPageScroller.prototype.scrollSelectorIntoView = function(baseElement,selector,callback) {\n\tbaseElement = baseElement || document.body;\n\tvar element = baseElement.querySelector(selector);\n\tif(element) {\n\t\tthis.scrollIntoView(element,callback);\t\t\n\t}\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/edition-info.js": {
"title": "$:/core/modules/utils/edition-info.js",
"text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/fakedom.js": {
"title": "$:/core/modules/utils/fakedom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_Node = function (){\n\tthrow TypeError(\"Illegal constructor\");\n};\n\nObject.defineProperty(TW_Node.prototype, 'ELEMENT_NODE', {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nObject.defineProperty(TW_Node.prototype, 'TEXT_NODE', {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nTW_TextNode.prototype = Object.create(TW_Node.prototype);\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn this.TEXT_NODE;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis._style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nTW_Element.prototype = Object.create(TW_Node.prototype);\n\nObject.defineProperty(TW_Element.prototype, \"style\", {\n\tget: function() {\n\t\treturn this._style;\n\t},\n\tset: function(str) {\n\t\tvar self = this;\n\t\tstr = str || \"\";\n\t\t$tw.utils.each(str.split(\";\"),function(declaration) {\n\t\t\tvar parts = declaration.split(\":\"),\n\t\t\t\tname = $tw.utils.trim(parts[0]),\n\t\t\t\tvalue = $tw.utils.trim(parts[1]);\n\t\t\tif(name && value) {\n\t\t\t\tself._style[$tw.utils.convertStyleNameToPropertyName(name)] = value;\n\t\t\t}\n\t\t});\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn this.ELEMENT_NODE;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value + \"\";\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this._style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this._style) {\n\t\t\t\tstyle.push($tw.utils.convertPropertyNameToStyleName(s) + \":\" + this._style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\");\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/filesystem.js": {
"title": "$:/core/modules/utils/filesystem.js",
"text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nReturn the subdirectories of a path\n*/\nexports.getSubdirectories = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn null;\n\t}\n\tvar subdirs = [];\n\t$tw.utils.each(fs.readdirSync(dirPath),function(item) {\n\t\tif($tw.utils.isDirectory(path.resolve(dirPath,item))) {\n\t\t\tsubdirs.push(item);\n\t\t}\n\t});\n\treturn subdirs;\n}\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = path.resolve($tw.utils.removeTrailingSeparator(srcPath));\n\tdstPath = path.resolve($tw.utils.removeTrailingSeparator(dstPath));\n\t// Check that neither director is within the other\n\tif(srcPath.substring(0,dstPath.length) === dstPath || dstPath.substring(0,srcPath.length) === srcPath) {\n\t\treturn \"Cannot copy nested directories\";\n\t}\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = Buffer.alloc(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n/*\nCreate a fileInfo object for saving a tiddler:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file on disk (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n\tisEditableFile: true if the tiddler was loaded via non-standard options & marked editable\nOptions include:\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\textFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters,\n\tfileInfo: an existing fileInfo to check against\n\toriginalpath: a preferred filepath if no pathFilters match\n*/\nexports.generateTiddlerFileInfo = function(tiddler,options) {\n\tvar fileInfo = {}, metaExt;\n\t// Propagate the isEditableFile flag\n\tif(options.fileInfo) {\n\t\tfileInfo.isEditableFile = options.fileInfo.isEditableFile || false;\n\t}\n\t// Check if the tiddler has any unsafe fields that can't be expressed in a .tid or .meta file: containing control characters, or leading/trailing whitespace\n\tvar hasUnsafeFields = false;\n\t$tw.utils.each(tiddler.getFieldStrings(),function(value,fieldName) {\n\t\tif(fieldName !== \"text\") {\n\t\t\thasUnsafeFields = hasUnsafeFields || /[\\x00-\\x1F]/mg.test(value);\n\t\t\thasUnsafeFields = hasUnsafeFields || ($tw.utils.trim(value) !== value);\n\t\t}\n\t});\n\t// Check for field values \n\tif(hasUnsafeFields) {\n\t\t// Save as a JSON file\n\t\tfileInfo.type = \"application/json\";\n\t\tfileInfo.hasMetaFile = false;\n\t} else {\n\t\t// Save as a .tid or a text/binary file plus a .meta file\n\t\tvar tiddlerType = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\tif(tiddlerType === \"text/vnd.tiddlywiki\") {\n\t\t\t// Save as a .tid file\n\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\tfileInfo.hasMetaFile = false;\n\t\t} else {\n\t\t\t// Save as a text/binary file and a .meta file\n\t\t\tfileInfo.type = tiddlerType;\n\t\t\tfileInfo.hasMetaFile = true;\n\t\t}\n\t\tif(options.extFilters) {\n\t\t\t// Check for extension override\n\t\t\tmetaExt = $tw.utils.generateTiddlerExtension(tiddler.fields.title,{\n\t\t\t\textFilters: options.extFilters,\n\t\t\t\twiki: options.wiki\n\t\t\t});\n\t\t\tif(metaExt){\n\t\t\t\tif(metaExt === \".tid\") {\n\t\t\t\t\t// Overriding to the .tid extension needs special handling\n\t\t\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\t\t\tfileInfo.hasMetaFile = false;\n\t\t\t\t} else if (metaExt === \".json\") {\n\t\t\t\t\t// Overriding to the .json extension needs special handling\n\t\t\t\t\tfileInfo.type = \"application/json\";\n\t\t\t\t\tfileInfo.hasMetaFile = false;\n\t\t\t\t} else {\n\t\t\t\t\t//If the new type matches a known extention, use that MIME type's encoding\n\t\t\t\t\tvar extInfo = $tw.utils.getFileExtensionInfo(metaExt);\n\t\t\t\t\tfileInfo.type = extInfo ? extInfo.type : null;\n\t\t\t\t\tfileInfo.encoding = $tw.utils.getTypeEncoding(metaExt);\n\t\t\t\t\tfileInfo.hasMetaFile = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Take the file extension from the tiddler content type or metaExt\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[fileInfo.type] || {extension: \"\"};\n\t// Generate the filepath\n\tfileInfo.filepath = $tw.utils.generateTiddlerFilepath(tiddler.fields.title,{\n\t\textension: metaExt || contentTypeInfo.extension,\n\t\tdirectory: options.directory,\n\t\tpathFilters: options.pathFilters,\n\t\twiki: options.wiki,\n\t\tfileInfo: options.fileInfo,\n\t\toriginalpath: options.originalpath\n\t});\n\treturn fileInfo;\n};\n\n/*\nGenerate the file extension for saving a tiddler\nOptions include:\n\textFilters: optional array of filters to be used to generate the extention\n\twiki: optional wiki for evaluating the extFilters\n*/\nexports.generateTiddlerExtension = function(title,options) {\n\tvar self = this,\n\t\textension;\n\t// Check if any of the extFilters applies\n\tif(options.extFilters && options.wiki) { \n\t\t$tw.utils.each(options.extFilters,function(filter) {\n\t\t\tif(!extension) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\textension = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn extension;\n};\n\n/*\nGenerate the filepath for saving a tiddler\nOptions include:\n\textension: file extension to be added the finished filepath\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n\tfileInfo: an existing fileInfo object to check against\n*/\nexports.generateTiddlerFilepath = function(title,options) {\n\tvar self = this,\n\t\tdirectory = options.directory || \"\",\n\t\textension = options.extension || \"\",\n\t\toriginalpath = options.originalpath || \"\",\n\t\tfilepath;\t\n\t// Check if any of the pathFilters applies\n\tif(options.pathFilters && options.wiki) {\n\t\t$tw.utils.each(options.pathFilters,function(filter) {\n\t\t\tif(!filepath) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\tfilepath = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\tif(!filepath && originalpath !== \"\") {\n\t\t//Use the originalpath without the extension\n\t\tvar ext = path.extname(originalpath);\n\t\tfilepath = originalpath.substring(0,originalpath.length - ext.length);\n\t} else if(!filepath) {\n\t\tfilepath = title;\n\t\t// If the filepath already ends in the extension then remove it\n\t\tif(filepath.substring(filepath.length - extension.length) === extension) {\n\t\t\tfilepath = filepath.substring(0,filepath.length - extension.length);\n\t\t}\n\t\t// Remove any forward or backward slashes so we don't create directories\n\t\tfilepath = filepath.replace(/\\/|\\\\/g,\"_\");\n\t}\n\t//If the path does not start with \".\" or \"..\" and a path seperator, then\n\tif(!/^\\.{1,2}[/\\\\]/g.test(filepath)) {\n\t\t// Don't let the filename start with any dots because such files are invisible on *nix\n\t\tfilepath = filepath.replace(/^\\.+/g,\"_\");\n\t}\n\t// Remove any characters that can't be used in cross-platform filenames\n\tfilepath = $tw.utils.transliterate(filepath.replace(/<|>|~|\\:|\\\"|\\||\\?|\\*|\\^/g,\"_\"));\n\t// Truncate the filename if it is too long\n\tif(filepath.length > 200) {\n\t\tfilepath = filepath.substr(0,200);\n\t}\n\t// If the resulting filename is blank (eg because the title is just punctuation characters)\n\tif(!filepath) {\n\t\t// ...then just use the character codes of the title\n\t\tfilepath = \"\";\t\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tif(filepath) {\n\t\t\t\tfilepath += \"-\";\n\t\t\t}\n\t\t\tfilepath += char.charCodeAt(0).toString();\n\t\t});\n\t}\n\t// Add a uniquifier if the file already exists\n\tvar fullPath, oldPath = (options.fileInfo) ? options.fileInfo.filepath : undefined,\n\t\tcount = 0;\n\tdo {\n\t\tfullPath = path.resolve(directory,filepath + (count ? \"_\" + count : \"\") + extension);\n\t\tif(oldPath && oldPath == fullPath) {\n\t\t\tbreak;\n\t\t}\n\t\tcount++;\n\t} while(fs.existsSync(fullPath));\n\t// If the last write failed with an error, or if path does not start with:\n\t//\tthe resolved options.directory, the resolved wikiPath directory, or the wikiTiddlersPath directory, \n\t//\tthen encodeURIComponent() and resolve to tiddler directory\n\tvar newPath = fullPath,\n\t\tencode = (options.fileInfo || {writeError: false}).writeError == true;\n\tif(!encode){\n\t\tencode = !(fullPath.indexOf(path.resolve(directory)) == 0 ||\n\t\t\tfullPath.indexOf(path.resolve($tw.boot.wikiPath)) == 0 ||\n\t\t\tfullPath.indexOf($tw.boot.wikiTiddlersPath) == 0);\n\t\t}\n\tif(encode){\n\t\tfullPath = path.resolve(directory, encodeURIComponent(fullPath));\n\t}\n\t// Call hook to allow plugins to modify the final path\n\tfullPath = $tw.hooks.invokeHook(\"th-make-tiddler-path\", newPath, fullPath);\n\t// Return the full path to the file\n\treturn fullPath;\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFile = function(tiddler,fileInfo,callback) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFile(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tfs.writeFile(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\",callback);\n\t\t});\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFile(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\",callback);\n\t\t} else {\n\t\t\tfs.writeFile(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\",callback);\n\t\t}\n\t}\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFileSync = function(tiddler,fileInfo) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFileSync(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding);\n\t\tfs.writeFileSync(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\");\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFileSync(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\");\n\t\t} else {\n\t\t\tfs.writeFileSync(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t}\n\t}\n};\n\n/*\nDelete a file described by the fileInfo if it exits\n*/\nexports.deleteTiddlerFile = function(fileInfo, callback) {\n\t//Only attempt to delete files that exist on disk\n\tif(!fileInfo.filepath || !fs.existsSync(fileInfo.filepath)) {\n\t\treturn callback(null);\n\t}\n\t// Delete the file\n\tfs.unlink(fileInfo.filepath,function(err) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\t\n\t\t// Delete the metafile if present\n\t\tif(fileInfo.hasMetaFile && fs.existsSync(fileInfo.filepath + \".meta\")) {\n\t\t\tfs.unlink(fileInfo.filepath + \".meta\",function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\treturn $tw.utils.deleteEmptyDirs(path.dirname(fileInfo.filepath),callback);\n\t\t\t});\n\t\t} else {\n\t\t\treturn $tw.utils.deleteEmptyDirs(path.dirname(fileInfo.filepath),callback);\n\t\t}\n\t});\n};\n\n/*\nCleanup old files on disk, by comparing the options values:\n\tadaptorInfo from $tw.syncer.tiddlerInfo\n\tbootInfo from $tw.boot.files\n*/\nexports.cleanupTiddlerFiles = function(options, callback) {\n\tvar adaptorInfo = options.adaptorInfo || {},\n\tbootInfo = options.bootInfo || {},\n\ttitle = options.title || \"undefined\";\n\tif(adaptorInfo.filepath && bootInfo.filepath && adaptorInfo.filepath !== bootInfo.filepath) {\n\t\treturn $tw.utils.deleteTiddlerFile(adaptorInfo, function(err){\n\t\t\tif(err) {\n\t\t\t\tif ((err.code == \"EPERM\" || err.code == \"EACCES\") && err.syscall == \"unlink\") {\n\t\t\t\t\t// Error deleting the previous file on disk, should fail gracefully\n\t\t\t\t\t$tw.syncer.displayError(\"Server desynchronized. Error cleaning up previous file for tiddler: \"+title, err);\n\t\t\t\t\treturn callback(null);\n\t\t\t\t} else {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn callback(null);\n\t\t});\n\t} else {\n\t\treturn callback(null);\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/linkedlist.js": {
"title": "$:/core/modules/utils/linkedlist.js",
"text": "/*\\\nmodule-type: utils\ntitle: $:/core/modules/utils/linkedlist.js\ntype: application/javascript\n\nThis is a doubly-linked indexed list intended for manipulation, particularly\npushTop, which it does with significantly better performance than an array.\n\n\\*/\n(function(){\n\nfunction LinkedList() {\n\tthis.clear();\n};\n\nLinkedList.prototype.clear = function() {\n\tthis.index = Object.create(null);\n\t// LinkedList performs the duty of both the head and tail node\n\tthis.next = this;\n\tthis.prev = this;\n\tthis.length = 0;\n};\n\nLinkedList.prototype.remove = function(value) {\n\tif($tw.utils.isArray(value)) {\n\t\tfor(var t=0; t<value.length; t++) {\n\t\t\t_removeOne(this,value[t]);\n\t\t}\n\t} else {\n\t\t_removeOne(this,value);\n\t}\n};\n\nLinkedList.prototype.push = function(/* values */) {\n\tfor(var i = 0; i < arguments.length; i++) {\n\t\tvar value = arguments[i];\n\t\tvar node = {value: value};\n\t\tvar preexistingNode = this.index[value];\n\t\t_linkToEnd(this,node);\n\t\tif(preexistingNode) {\n\t\t\t// We want to keep pointing to the first instance, but we want\n\t\t\t// to have that instance (or chain of instances) point to the\n\t\t\t// new one.\n\t\t\twhile (preexistingNode.copy) {\n\t\t\t\tpreexistingNode = preexistingNode.copy;\n\t\t\t}\n\t\t\tpreexistingNode.copy = node;\n\t\t} else {\n\t\t\tthis.index[value] = node;\n\t\t}\n\t}\n};\n\nLinkedList.prototype.pushTop = function(value) {\n\tif($tw.utils.isArray(value)) {\n\t\tfor(var t=0; t<value.length; t++) {\n\t\t\t_removeOne(this,value[t]);\n\t\t}\n\t\tthis.push.apply(this,value);\n\t} else {\n\t\tvar node = _removeOne(this,value);\n\t\tif(!node) {\n\t\t\tnode = {value: value};\n\t\t\tthis.index[value] = node;\n\t\t} else {\n\t\t\t// Put this node at the end of the copy chain.\n\t\t\tvar preexistingNode = node;\n\t\t\twhile(preexistingNode.copy) {\n\t\t\t\tpreexistingNode = preexistingNode.copy;\n\t\t\t}\n\t\t\t// The order of these three statements is important,\n\t\t\t// because sometimes preexistingNode == node.\n\t\t\tpreexistingNode.copy = node;\n\t\t\tthis.index[value] = node.copy;\n\t\t\tnode.copy = undefined;\n\t\t}\n\t\t_linkToEnd(this,node);\n\t}\n};\n\nLinkedList.prototype.each = function(callback) {\n\tfor(var ptr = this.next; ptr !== this; ptr = ptr.next) {\n\t\tcallback(ptr.value);\n\t}\n};\n\nLinkedList.prototype.toArray = function() {\n\tvar output = [];\n\tfor(var ptr = this.next; ptr !== this; ptr = ptr.next) {\n\t\toutput.push(ptr.value);\n\t}\n\treturn output;\n};\n\nfunction _removeOne(list,value) {\n\tvar node = list.index[value];\n\tif(node) {\n\t\tnode.prev.next = node.next;\n\t\tnode.next.prev = node.prev;\n\t\tlist.length -= 1;\n\t\t// Point index to the next instance of the same value, maybe nothing.\n\t\tlist.index[value] = node.copy;\n\t}\n\treturn node;\n};\n\nfunction _linkToEnd(list,node) {\n\t// Sticks the given node onto the end of the list.\n\tlist.prev.next = node;\n\tnode.prev = list.prev;\n\tlist.prev = node;\n\tnode.next = list;\n\tlist.length += 1;\n};\n\nexports.LinkedList = LinkedList;\n\n})();\n",
"module-type": "utils",
"type": "application/javascript"
},
"$:/core/modules/utils/logger.js": {
"title": "$:/core/modules/utils/logger.js",
"text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n\tthis.save = \"save\" in options ? options.save : true;\n\tthis.saveLimit = options.saveLimit || 100 * 1024;\n\tthis.saveBufferLogger = this;\n\tthis.buffer = \"\";\n\tthis.alertCount = 0;\n}\n\nLogger.prototype.setSaveBuffer = function(logger) {\n\tthis.saveBufferLogger = logger;\n};\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tvar self = this;\n\tif(this.enable) {\n\t\tif(this.saveBufferLogger.save) {\n\t\t\tthis.saveBufferLogger.buffer += $tw.utils.formatDateString(new Date(),\"YYYY MM DD 0hh:0mm:0ss.0XXX\") + \":\";\n\t\t\t$tw.utils.each(Array.prototype.slice.call(arguments,0),function(arg,index) {\n\t\t\t\tself.saveBufferLogger.buffer += \" \" + arg;\n\t\t\t});\n\t\t\tthis.saveBufferLogger.buffer += \"\\n\";\n\t\t\tthis.saveBufferLogger.buffer = this.saveBufferLogger.buffer.slice(-this.saveBufferLogger.saveLimit);\t\t\t\n\t\t}\n\t\tif(console !== undefined && console.log !== undefined) {\n\t\t\treturn Function.apply.call(console.log, console, [$tw.utils.terminalColour(this.colour),this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)).concat($tw.utils.terminalColour()));\n\t\t}\n\t} \n};\n\n/*\nRead the message buffer\n*/\nLogger.prototype.getBuffer = function() {\n\treturn this.saveBufferLogger.buffer;\n};\n\n/*\nLog a structure as a table\n*/\nLogger.prototype.table = function(value) {\n\t(console.table || console.log)(value);\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t\tthis.alertCount += 1;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\t\t\n\t}\n};\n\n/*\nClear outstanding alerts\n*/\nLogger.prototype.clearAlerts = function() {\n\tvar self = this;\n\tif($tw.browser && this.alertCount > 0) {\n\t\t$tw.utils.each($tw.wiki.getTiddlersWithTag(ALERT_TAG),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.component === self.componentName) {\n\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t}\n\t\t});\n\t\tthis.alertCount = 0;\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/parsetree.js": {
"title": "$:/core/modules/utils/parsetree.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/performance.js": {
"title": "$:/core/modules/utils/performance.js",
"text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap by measurement name of {time:, invocations:}\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n\tthis.showGreeting();\n}\n\nPerformance.prototype.showGreeting = function() {\n\tif($tw.browser) {\n\t\tthis.logger.log(\"Execute $tw.perf.log(); to see filter execution timings\");\t\t\n\t}\n};\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nPerformance.prototype.log = function() {\n\tvar self = this,\n\t\ttotalTime = 0,\n\t\torderedMeasures = Object.keys(this.measures).sort(function(a,b) {\n\t\t\tif(self.measures[a].time > self.measures[b].time) {\n\t\t\t\treturn -1;\n\t\t\t} else if (self.measures[a].time < self.measures[b].time) {\n\t\t\t\treturn + 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t});\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\ttotalTime += self.measures[name].time;\n\t});\n\tvar results = []\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\tvar measure = self.measures[name];\n\t\tresults.push({name: name,invocations: measure.invocations, avgTime: measure.time / measure.invocations, totalTime: measure.time, percentTime: (measure.time / totalTime) * 100})\n\t});\n\tself.logger.table(results);\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tif(!(name in self.measures)) {\n\t\t\t\tself.measures[name] = {time: 0, invocations: 0};\n\t\t\t}\n\t\t\tself.measures[name].time += $tw.utils.timer(startTime);\n\t\t\tself.measures[name].invocations++;\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/pluginmaker.js": {
"title": "$:/core/modules/utils/pluginmaker.js",
"text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/transliterate.js": {
"title": "$:/core/modules/utils/transliterate.js",
"text": "/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = {\n\t\"Á\":\"A\",\n\t\"Ă\":\"A\",\n\t\"Ắ\":\"A\",\n\t\"Ặ\":\"A\",\n\t\"Ằ\":\"A\",\n\t\"Ẳ\":\"A\",\n\t\"Ẵ\":\"A\",\n\t\"Ǎ\":\"A\",\n\t\"Â\":\"A\",\n\t\"Ấ\":\"A\",\n\t\"Ậ\":\"A\",\n\t\"Ầ\":\"A\",\n\t\"Ẩ\":\"A\",\n\t\"Ẫ\":\"A\",\n\t\"Ä\":\"A\",\n\t\"Ǟ\":\"A\",\n\t\"Ȧ\":\"A\",\n\t\"Ǡ\":\"A\",\n\t\"Ạ\":\"A\",\n\t\"Ȁ\":\"A\",\n\t\"À\":\"A\",\n\t\"Ả\":\"A\",\n\t\"Ȃ\":\"A\",\n\t\"Ā\":\"A\",\n\t\"Ą\":\"A\",\n\t\"Å\":\"A\",\n\t\"Ǻ\":\"A\",\n\t\"Ḁ\":\"A\",\n\t\"Ⱥ\":\"A\",\n\t\"Ã\":\"A\",\n\t\"Ꜳ\":\"AA\",\n\t\"Æ\":\"AE\",\n\t\"Ǽ\":\"AE\",\n\t\"Ǣ\":\"AE\",\n\t\"Ꜵ\":\"AO\",\n\t\"Ꜷ\":\"AU\",\n\t\"Ꜹ\":\"AV\",\n\t\"Ꜻ\":\"AV\",\n\t\"Ꜽ\":\"AY\",\n\t\"Ḃ\":\"B\",\n\t\"Ḅ\":\"B\",\n\t\"Ɓ\":\"B\",\n\t\"Ḇ\":\"B\",\n\t\"Ƀ\":\"B\",\n\t\"Ƃ\":\"B\",\n\t\"Ć\":\"C\",\n\t\"Č\":\"C\",\n\t\"Ç\":\"C\",\n\t\"Ḉ\":\"C\",\n\t\"Ĉ\":\"C\",\n\t\"Ċ\":\"C\",\n\t\"Ƈ\":\"C\",\n\t\"Ȼ\":\"C\",\n\t\"Ď\":\"D\",\n\t\"Ḑ\":\"D\",\n\t\"Ḓ\":\"D\",\n\t\"Ḋ\":\"D\",\n\t\"Ḍ\":\"D\",\n\t\"Ɗ\":\"D\",\n\t\"Ḏ\":\"D\",\n\t\"Dz\":\"D\",\n\t\"Dž\":\"D\",\n\t\"Đ\":\"D\",\n\t\"Ƌ\":\"D\",\n\t\"DZ\":\"DZ\",\n\t\"DŽ\":\"DZ\",\n\t\"É\":\"E\",\n\t\"Ĕ\":\"E\",\n\t\"Ě\":\"E\",\n\t\"Ȩ\":\"E\",\n\t\"Ḝ\":\"E\",\n\t\"Ê\":\"E\",\n\t\"Ế\":\"E\",\n\t\"Ệ\":\"E\",\n\t\"Ề\":\"E\",\n\t\"Ể\":\"E\",\n\t\"Ễ\":\"E\",\n\t\"Ḙ\":\"E\",\n\t\"Ë\":\"E\",\n\t\"Ė\":\"E\",\n\t\"Ẹ\":\"E\",\n\t\"Ȅ\":\"E\",\n\t\"È\":\"E\",\n\t\"Ẻ\":\"E\",\n\t\"Ȇ\":\"E\",\n\t\"Ē\":\"E\",\n\t\"Ḗ\":\"E\",\n\t\"Ḕ\":\"E\",\n\t\"Ę\":\"E\",\n\t\"Ɇ\":\"E\",\n\t\"Ẽ\":\"E\",\n\t\"Ḛ\":\"E\",\n\t\"Ꝫ\":\"ET\",\n\t\"Ḟ\":\"F\",\n\t\"Ƒ\":\"F\",\n\t\"Ǵ\":\"G\",\n\t\"Ğ\":\"G\",\n\t\"Ǧ\":\"G\",\n\t\"Ģ\":\"G\",\n\t\"Ĝ\":\"G\",\n\t\"Ġ\":\"G\",\n\t\"Ɠ\":\"G\",\n\t\"Ḡ\":\"G\",\n\t\"Ǥ\":\"G\",\n\t\"Ḫ\":\"H\",\n\t\"Ȟ\":\"H\",\n\t\"Ḩ\":\"H\",\n\t\"Ĥ\":\"H\",\n\t\"Ⱨ\":\"H\",\n\t\"Ḧ\":\"H\",\n\t\"Ḣ\":\"H\",\n\t\"Ḥ\":\"H\",\n\t\"Ħ\":\"H\",\n\t\"Í\":\"I\",\n\t\"Ĭ\":\"I\",\n\t\"Ǐ\":\"I\",\n\t\"Î\":\"I\",\n\t\"Ï\":\"I\",\n\t\"Ḯ\":\"I\",\n\t\"İ\":\"I\",\n\t\"Ị\":\"I\",\n\t\"Ȉ\":\"I\",\n\t\"Ì\":\"I\",\n\t\"Ỉ\":\"I\",\n\t\"Ȋ\":\"I\",\n\t\"Ī\":\"I\",\n\t\"Į\":\"I\",\n\t\"Ɨ\":\"I\",\n\t\"Ĩ\":\"I\",\n\t\"Ḭ\":\"I\",\n\t\"Ꝺ\":\"D\",\n\t\"Ꝼ\":\"F\",\n\t\"Ᵹ\":\"G\",\n\t\"Ꞃ\":\"R\",\n\t\"Ꞅ\":\"S\",\n\t\"Ꞇ\":\"T\",\n\t\"Ꝭ\":\"IS\",\n\t\"Ĵ\":\"J\",\n\t\"Ɉ\":\"J\",\n\t\"Ḱ\":\"K\",\n\t\"Ǩ\":\"K\",\n\t\"Ķ\":\"K\",\n\t\"Ⱪ\":\"K\",\n\t\"Ꝃ\":\"K\",\n\t\"Ḳ\":\"K\",\n\t\"Ƙ\":\"K\",\n\t\"Ḵ\":\"K\",\n\t\"Ꝁ\":\"K\",\n\t\"Ꝅ\":\"K\",\n\t\"Ĺ\":\"L\",\n\t\"Ƚ\":\"L\",\n\t\"Ľ\":\"L\",\n\t\"Ļ\":\"L\",\n\t\"Ḽ\":\"L\",\n\t\"Ḷ\":\"L\",\n\t\"Ḹ\":\"L\",\n\t\"Ⱡ\":\"L\",\n\t\"Ꝉ\":\"L\",\n\t\"Ḻ\":\"L\",\n\t\"Ŀ\":\"L\",\n\t\"Ɫ\":\"L\",\n\t\"Lj\":\"L\",\n\t\"Ł\":\"L\",\n\t\"LJ\":\"LJ\",\n\t\"Ḿ\":\"M\",\n\t\"Ṁ\":\"M\",\n\t\"Ṃ\":\"M\",\n\t\"Ɱ\":\"M\",\n\t\"Ń\":\"N\",\n\t\"Ň\":\"N\",\n\t\"Ņ\":\"N\",\n\t\"Ṋ\":\"N\",\n\t\"Ṅ\":\"N\",\n\t\"Ṇ\":\"N\",\n\t\"Ǹ\":\"N\",\n\t\"Ɲ\":\"N\",\n\t\"Ṉ\":\"N\",\n\t\"Ƞ\":\"N\",\n\t\"Nj\":\"N\",\n\t\"Ñ\":\"N\",\n\t\"NJ\":\"NJ\",\n\t\"Ó\":\"O\",\n\t\"Ŏ\":\"O\",\n\t\"Ǒ\":\"O\",\n\t\"Ô\":\"O\",\n\t\"Ố\":\"O\",\n\t\"Ộ\":\"O\",\n\t\"Ồ\":\"O\",\n\t\"Ổ\":\"O\",\n\t\"Ỗ\":\"O\",\n\t\"Ö\":\"O\",\n\t\"Ȫ\":\"O\",\n\t\"Ȯ\":\"O\",\n\t\"Ȱ\":\"O\",\n\t\"Ọ\":\"O\",\n\t\"Ő\":\"O\",\n\t\"Ȍ\":\"O\",\n\t\"Ò\":\"O\",\n\t\"Ỏ\":\"O\",\n\t\"Ơ\":\"O\",\n\t\"Ớ\":\"O\",\n\t\"Ợ\":\"O\",\n\t\"Ờ\":\"O\",\n\t\"Ở\":\"O\",\n\t\"Ỡ\":\"O\",\n\t\"Ȏ\":\"O\",\n\t\"Ꝋ\":\"O\",\n\t\"Ꝍ\":\"O\",\n\t\"Ō\":\"O\",\n\t\"Ṓ\":\"O\",\n\t\"Ṑ\":\"O\",\n\t\"Ɵ\":\"O\",\n\t\"Ǫ\":\"O\",\n\t\"Ǭ\":\"O\",\n\t\"Ø\":\"O\",\n\t\"Ǿ\":\"O\",\n\t\"Õ\":\"O\",\n\t\"Ṍ\":\"O\",\n\t\"Ṏ\":\"O\",\n\t\"Ȭ\":\"O\",\n\t\"Ƣ\":\"OI\",\n\t\"Ꝏ\":\"OO\",\n\t\"Ɛ\":\"E\",\n\t\"Ɔ\":\"O\",\n\t\"Ȣ\":\"OU\",\n\t\"Ṕ\":\"P\",\n\t\"Ṗ\":\"P\",\n\t\"Ꝓ\":\"P\",\n\t\"Ƥ\":\"P\",\n\t\"Ꝕ\":\"P\",\n\t\"Ᵽ\":\"P\",\n\t\"Ꝑ\":\"P\",\n\t\"Ꝙ\":\"Q\",\n\t\"Ꝗ\":\"Q\",\n\t\"Ŕ\":\"R\",\n\t\"Ř\":\"R\",\n\t\"Ŗ\":\"R\",\n\t\"Ṙ\":\"R\",\n\t\"Ṛ\":\"R\",\n\t\"Ṝ\":\"R\",\n\t\"Ȑ\":\"R\",\n\t\"Ȓ\":\"R\",\n\t\"Ṟ\":\"R\",\n\t\"Ɍ\":\"R\",\n\t\"Ɽ\":\"R\",\n\t\"Ꜿ\":\"C\",\n\t\"Ǝ\":\"E\",\n\t\"Ś\":\"S\",\n\t\"Ṥ\":\"S\",\n\t\"Š\":\"S\",\n\t\"Ṧ\":\"S\",\n\t\"Ş\":\"S\",\n\t\"Ŝ\":\"S\",\n\t\"Ș\":\"S\",\n\t\"Ṡ\":\"S\",\n\t\"Ṣ\":\"S\",\n\t\"Ṩ\":\"S\",\n\t\"Ť\":\"T\",\n\t\"Ţ\":\"T\",\n\t\"Ṱ\":\"T\",\n\t\"Ț\":\"T\",\n\t\"Ⱦ\":\"T\",\n\t\"Ṫ\":\"T\",\n\t\"Ṭ\":\"T\",\n\t\"Ƭ\":\"T\",\n\t\"Ṯ\":\"T\",\n\t\"Ʈ\":\"T\",\n\t\"Ŧ\":\"T\",\n\t\"Ɐ\":\"A\",\n\t\"Ꞁ\":\"L\",\n\t\"Ɯ\":\"M\",\n\t\"Ʌ\":\"V\",\n\t\"Ꜩ\":\"TZ\",\n\t\"Ú\":\"U\",\n\t\"Ŭ\":\"U\",\n\t\"Ǔ\":\"U\",\n\t\"Û\":\"U\",\n\t\"Ṷ\":\"U\",\n\t\"Ü\":\"U\",\n\t\"Ǘ\":\"U\",\n\t\"Ǚ\":\"U\",\n\t\"Ǜ\":\"U\",\n\t\"Ǖ\":\"U\",\n\t\"Ṳ\":\"U\",\n\t\"Ụ\":\"U\",\n\t\"Ű\":\"U\",\n\t\"Ȕ\":\"U\",\n\t\"Ù\":\"U\",\n\t\"Ủ\":\"U\",\n\t\"Ư\":\"U\",\n\t\"Ứ\":\"U\",\n\t\"Ự\":\"U\",\n\t\"Ừ\":\"U\",\n\t\"Ử\":\"U\",\n\t\"Ữ\":\"U\",\n\t\"Ȗ\":\"U\",\n\t\"Ū\":\"U\",\n\t\"Ṻ\":\"U\",\n\t\"Ų\":\"U\",\n\t\"Ů\":\"U\",\n\t\"Ũ\":\"U\",\n\t\"Ṹ\":\"U\",\n\t\"Ṵ\":\"U\",\n\t\"Ꝟ\":\"V\",\n\t\"Ṿ\":\"V\",\n\t\"Ʋ\":\"V\",\n\t\"Ṽ\":\"V\",\n\t\"Ꝡ\":\"VY\",\n\t\"Ẃ\":\"W\",\n\t\"Ŵ\":\"W\",\n\t\"Ẅ\":\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= function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\nexports.transliterateToSafeASCII = function(str) {\n\treturn str.replace(/[^\\x00-\\x7F]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || \"\"\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/utils.js": {
"title": "$:/core/modules/utils/utils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar base64utf8 = require(\"$:/core/modules/utils/base64-utf8/base64-utf8.module.js\");\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nLog a table of name: value pairs\n*/\nexports.logTable = function(data) {\n\tif(console.table) {\n\t\tconsole.table(data);\n\t} else {\n\t\t$tw.utils.each(data,function(value,name) {\n\t\t\tconsole.log(name + \": \" + value);\n\t\t});\n\t}\n}\n\n/*\nReturn the integer represented by the str (string).\nReturn the dflt (default) parameter if str is not a base-10 number.\n*/\nexports.getInt = function(str,deflt) {\n\tvar i = parseInt(str,10);\n\treturn isNaN(i) ? deflt : i;\n}\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\nexports.trimPrefix = function(str,unwanted) {\n\tif(typeof str === \"string\" && typeof unwanted === \"string\") {\n\t\tif(unwanted === \"\") {\n\t\t\treturn str.replace(/^\\s\\s*/, '');\n\t\t} else {\n\t\t\t// Safely regexp-escape the unwanted text\n\t\t\tunwanted = unwanted.replace(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\t\t\tvar regex = new RegExp('^(' + unwanted + ')+');\n\t\t\treturn str.replace(regex, '');\n\t\t}\n\t} else {\n\t\treturn str;\n\t}\n};\n\nexports.trimSuffix = function(str,unwanted) {\n\tif(typeof str === \"string\" && typeof unwanted === \"string\") {\n\t\tif(unwanted === \"\") {\n\t\t\treturn str.replace(/\\s\\s*$/, '');\n\t\t} else {\n\t\t\t// Safely regexp-escape the unwanted text\n\t\t\tunwanted = unwanted.replace(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\t\t\tvar regex = new RegExp('(' + unwanted + ')+$');\n\t\t\treturn str.replace(regex, '');\n\t\t}\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nConvert a string to sentence case (ie capitalise first letter)\n*/\nexports.toSentenceCase = function(str) {\n\treturn (str || \"\").replace(/^\\S/, function(c) {return c.toUpperCase();});\n}\n\n/*\nConvert a string to title case (ie capitalise each initial letter)\n*/\nexports.toTitleCase = function(str) {\n\treturn (str || \"\").replace(/(^|\\s)\\S/g, function(c) {return c.toUpperCase();});\n}\n\t\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nDetermine whether an array-item is an object-property\n*/\nexports.hopArray = function(object,array) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tif($tw.utils.hop(object,array[i])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date),4);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear(),4);\n\t\t\t}],\n\t\t\t[/^aYYYY/, function() {\n\t\t\t\treturn $tw.utils.pad(Math.abs(date.getFullYear()),4);\n\t\t\t}],\n\t\t\t[/^\\{era:([^,\\|}]*)\\|([^}\\|]*)\\|([^}]*)\\}/, function(match) {\n\t\t\t\tvar year = date.getFullYear();\n\t\t\t\treturn year === 0 ? match[2] : (year < 0 ? match[1] : match[3]);\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds(),3);\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means\n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\")\n\t\t\treturn $tw.utils.stringifyDate(new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t}\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call(null,match);\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\", duration: 365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\", duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\", duration: 24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\", duration: 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration: 60 * 1000},\n\t\t{name: \"Seconds\", duration: 1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&\", < to \"<\", > to \">\", \" to \""\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&\").replace(/</mg,\"<\").replace(/>/mg,\">\").replace(/\\\"/mg,\""\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2), // Strip the & and the ;\n\t\tc;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\tc = parseInt(e.substr(2),16);\n\t\t} else {\n\t\t\tc = parseInt(e.substr(1),10);\n\t\t}\n\t\tif(isNaN(c)) {\n\t\t\treturn s;\n\t\t} else {\n\t\t\treturn converter(c);\n\t\t}\n\t} else {\n\t\tc = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s, rawUnicode) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\tvar regex = rawUnicode ? /[\\x00-\\x1f]/g : /[\\x00-\\x1f\\x80-\\uFFFF]/g;\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/'/g, \"\\\\'\") // single quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(regex, exports.escape); // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s, rawUnicode) {\n\t// See http://www.json.org/\n\tvar regex = rawUnicode ? /[\\x00-\\x1f]/g : /[\\x00-\\x1f\\x80-\\uFFFF]/g;\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/\\x08/g, '\\\\b') // backspace\n\t\t.replace(/\\x0c/g, '\\\\f') // formfeed\n\t\t.replace(/\\t/g, '\\\\t') // tab\n\t\t.replace(regex,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10) || 0;\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\treturn base64utf8.base64.decode.call(base64utf8,string64);\n};\n\n/*\nEncode a string to base64\n*/\nexports.base64Encode = function(string64) {\n\treturn base64utf8.base64.encode.call(base64utf8,string64);\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\n\t\tm = r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type,_canonical_uri) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tif(_canonical_uri) {\n\t\tparts.push(_canonical_uri);\n\t} else {\n\t\tparts.push(\"data:\");\n\t\tparts.push(type);\n\t\tparts.push(isBase64 ? \";base64\" : \"\");\n\t\tparts.push(\",\");\n\t\tparts.push(isBase64 ? text : encodeURIComponent(text));\t\t\n\t}\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n/*\nReturn system information useful for debugging\n*/\nexports.getSystemInfo = function(str,ending,position) {\n\tvar results = [],\n\t\tsave = function(desc,value) {\n\t\t\tresults.push(desc + \": \" + value);\n\t\t};\n\tif($tw.browser) {\n\t\tsave(\"User Agent\",navigator.userAgent);\n\t\tsave(\"Online Status\",window.navigator.onLine);\n\t}\n\tif($tw.node) {\n\t\tsave(\"Node Version\",process.version);\n\t}\n\treturn results.join(\"\\n\");\n};\n\nexports.parseNumber = function(str) {\n\treturn parseFloat(str) || 0;\n};\n\nexports.parseInt = function(str) {\n\treturn parseInt(str,10) || 0;\n};\n\nexports.stringifyNumber = function(num) {\n\treturn num + \"\";\n};\n\nexports.makeCompareFunction = function(type,options) {\n\toptions = options || {};\n\tvar gt = options.invert ? -1 : +1,\n\t\tlt = options.invert ? +1 : -1,\n\t\tcompare = function(a,b) {\n\t\t\tif(a > b) {\n\t\t\t\treturn gt ;\n\t\t\t} else if(a < b) {\n\t\t\t\treturn lt;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t},\n\t\ttypes = {\n\t\t\t\"number\": function(a,b) {\n\t\t\t\treturn compare($tw.utils.parseNumber(a),$tw.utils.parseNumber(b));\n\t\t\t},\n\t\t\t\"integer\": function(a,b) {\n\t\t\t\treturn compare($tw.utils.parseInt(a),$tw.utils.parseInt(b));\n\t\t\t},\n\t\t\t\"string\": function(a,b) {\n\t\t\t\treturn compare(\"\" + a,\"\" +b);\n\t\t\t},\n\t\t\t\"date\": function(a,b) {\n\t\t\t\tvar dateA = $tw.utils.parseDate(a),\n\t\t\t\t\tdateB = $tw.utils.parseDate(b);\n\t\t\t\tif(!isFinite(dateA)) {\n\t\t\t\t\tdateA = new Date(0);\n\t\t\t\t}\n\t\t\t\tif(!isFinite(dateB)) {\n\t\t\t\t\tdateB = new Date(0);\n\t\t\t\t}\n\t\t\t\treturn compare(dateA,dateB);\n\t\t\t},\n\t\t\t\"version\": function(a,b) {\n\t\t\t\treturn $tw.utils.compareVersions(a,b);\n\t\t\t}\n\t\t};\n\treturn (types[type] || types[options.defaultType] || types.number);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/widgets/action-confirm.js": {
"title": "$:/core/modules/widgets/action-confirm.js",
"text": "/*\\\n\ntitle: $:/core/modules/widgets/action-confirm.js\ntype: application/javascript\nmodule-type: widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ConfirmWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nConfirmWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nConfirmWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.parentDomNode = parent;\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nConfirmWidget.prototype.execute = function() {\n\tthis.message = this.getAttribute(\"$message\",$tw.language.getString(\"ConfirmAction\"));\n\tthis.prompt = (this.getAttribute(\"$prompt\",\"yes\") == \"no\" ? false : true);\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nConfirmWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$message\"] || changedAttributes[\"$prompt\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nConfirmWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar invokeActions = true,\n\t\thandled = true;\n\tif(this.prompt) {\n\t\tinvokeActions = confirm(this.message);\n\t}\n\tif(invokeActions) {\n\t\thandled = this.invokeActions(triggeringWidget,event);\n\t}\n\treturn handled;\n};\n\nConfirmWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nexports[\"action-confirm\"] = ConfirmWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-createtiddler.js": {
"title": "$:/core/modules/widgets/action-createtiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw:false, require:false, exports:false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.hasBase = !!this.actionBaseTitle;\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionSaveDraftTitle = this.getAttribute(\"$savedrafttitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n\t//Following params are new since 5.1.22\n\tthis.actionTemplate = this.getAttribute(\"$template\");\n\tthis.useTemplate = !!this.actionTemplate;\n\tthis.actionOverwrite = this.getAttribute(\"$overwrite\",\"no\");\n\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.getTiddlerText(\"$:/language/DefaultNewTiddlerTitle\"), // Get the initial new-tiddler title\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tif(this.hasBase && this.actionOverwrite === \"no\") {\n\t\ttitle = this.wiki.generateNewTitle(this.actionBaseTitle);\n\t} else if (this.hasBase && this.actionOverwrite === \"yes\") {\n\t\ttitle = this.actionBaseTitle\n\t}\n\t// NO $basetitle BUT $template parameter is available\n\t// the title MUST be unique, otherwise the template would be overwritten\n\tif (!this.hasBase && this.useTemplate) {\n\t\ttitle = this.wiki.generateNewTitle(this.actionTemplate);\n\t} else if (!this.hasBase && !this.useTemplate) {\n\t\t// If NO $basetitle AND NO $template use initial title\n\t\t// DON'T overwrite any stuff\n\t\ttitle = this.wiki.generateNewTitle(title);\n\t}\n\tvar templateTiddler = this.wiki.getTiddler(this.actionTemplate) || {};\n\tvar tiddler = this.wiki.addTiddler(new $tw.Tiddler(templateTiddler.fields,creationFields,fields,modificationFields,{title: title}));\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.actionSaveDraftTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveDraftTitle,this.wiki.generateDraftTitle(title),this.getVariable(\"currentTiddler\"));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletefield.js": {
"title": "$:/core/modules/widgets/action-deletefield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif(this.actionField && tiddler) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletetiddler.js": {
"title": "$:/core/modules/widgets/action-deletetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-listops.js": {
"title": "$:/core/modules/widgets/action-listops.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-log.js": {
"title": "$:/core/modules/widgets/action-log.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-log.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to log debug messages\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LogWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLogWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLogWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\nLogWidget.prototype.execute = function(){\n\tthis.message = this.getAttribute(\"$$message\",\"debug\");\n\tthis.logAll = this.getAttribute(\"$$all\",\"no\") === \"yes\" ? true : false;\n\tthis.filter = this.getAttribute(\"$$filter\");\n}\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nLogWidget.prototype.refresh = function(changedTiddlers) {\n\tthis.refreshSelf();\n\treturn true;\n};\n\n/*\nInvoke the action associated with this widget\n*/\nLogWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tthis.log();\n\treturn true; // Action was invoked\n};\n\nLogWidget.prototype.log = function() {\n\tvar data = {},\n\t\tdataCount,\n\t\tallVars = {},\n\t\tfilteredVars;\n\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.substring(0,2) !== \"$$\") {\n\t\t\tdata[name] = attribute;\n\t\t}\t\t\n\t});\n\n\tfor(var v in this.variables) {\n\t\tallVars[v] = this.getVariable(v,{defaultValue:\"\"});\n\t}\t\n\tif(this.filter) {\n\t\tfilteredVars = this.wiki.compileFilter(this.filter).call(this.wiki,this.wiki.makeTiddlerIterator(allVars));\n\t\t$tw.utils.each(filteredVars,function(name) {\n\t\t\tdata[name] = allVars[name];\n\t\t});\t\t\n\t}\n\tdataCount = $tw.utils.count(data);\n\n\tconsole.group(this.message);\n\tif(dataCount > 0) {\n\t\t$tw.utils.logTable(data);\n\t}\n\tif(this.logAll || !dataCount) {\n\t\tconsole.groupCollapsed(\"All variables\");\n\t\t$tw.utils.logTable(allVars);\n\t\tconsole.groupEnd();\n\t}\n\tconsole.groupEnd();\n}\n\nexports[\"action-log\"] = LogWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-navigate.js": {
"title": "$:/core/modules/widgets/action-navigate.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tevent = event || {};\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-popup.js": {
"title": "$:/core/modules/widgets/action-popup.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-popup.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to trigger a popup.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionPopupWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionPopupWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionPopupWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionPopupWidget.prototype.execute = function() {\n\tthis.actionState = this.getAttribute(\"$state\");\n\tthis.actionCoords = this.getAttribute(\"$coords\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nActionPopupWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$state\"] || changedAttributes[\"$coords\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionPopupWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Trigger the popup\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(this.actionCoords || \"\");\n\tif(match) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: null,\n\t\t\tdomNodeRect: {\n\t\t\t\tleft: parseFloat(match[1]),\n\t\t\t\ttop: parseFloat(match[2]),\n\t\t\t\twidth: parseFloat(match[3]),\n\t\t\t\theight: parseFloat(match[4])\n\t\t\t},\n\t\t\ttitle: this.actionState,\n\t\t\twiki: this.wiki\n\t\t});\n\t} else {\n\t\t$tw.popup.cancel(0);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-popup\"] = ActionPopupWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-sendmessage.js": {
"title": "$:/core/modules/widgets/action-sendmessage.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-setfield.js": {
"title": "$:/core/modules/widgets/action-setfield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\") || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/browse.js": {
"title": "$:/core/modules/widgets/browse.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\tif(this.accept) {\n\t\tdomNode.setAttribute(\"accept\",this.accept);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.accept = this.getAttribute(\"accept\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/button.js": {
"title": "$:/core/modules/widgets/button.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this,\n\t\ttag = \"button\",\n\t\tdomNode;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tdomNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = (this.popup || this.popupTitle) && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif((this.set || this.setTitle) && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tdomNode.setAttribute(\"disabled\",true);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(self,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup || self.popupTitle) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set || self.setTitle) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\tself.invokeActionString(self.actions,self,event,{modifier: modifierKey});\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n return this.setTitle ? (this.setField ? this.wiki.getTiddler(this.setTitle).getFieldString(this.setField) === this.setTo :\n\t\t(this.setIndex ? this.wiki.extractTiddlerDataItem(this.setTitle,this.setIndex) === this.setTo :\n\t\t\tthis.wiki.getTiddlerText(this.setTitle))) || this.defaultSetValue || this.getVariable(\"currentTiddler\") :\n\t\tthis.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.popupTitle ? this.wiki.getTiddler(this.popupTitle) : this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\tif(this.popupTitle) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popupTitle,\n\t\t\twiki: this.wiki,\n\t\t\tnoStateReference: true\n\t\t});\n\t} else {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popup,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tif(this.setTitle) {\n\t\tthis.setField ? this.wiki.setText(this.setTitle,this.setField,undefined,this.setTo) :\n\t\t\t\t(this.setIndex ? this.wiki.setText(this.setTitle,undefined,this.setIndex,this.setTo) :\n\t\t\t\tthis.wiki.setText(this.setTitle,\"text\",undefined,this.setTo));\n\t} else {\n\t\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\tthis.setTitle = this.getAttribute(\"setTitle\");\n\tthis.setField = this.getAttribute(\"setField\");\n\tthis.setIndex = this.getAttribute(\"setIndex\");\n\tthis.popupTitle = this.getAttribute(\"popupTitle\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nButtonWidget.prototype.updateDomNodeClasses = function() {\n\tvar domNodeClasses = this.domNode.className.split(\" \"),\n\t\toldClasses = this.class.split(\" \"),\n\t\tnewClasses;\t\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tnewClasses = this.class.split(\" \");\n\t//Remove classes assigned from the old value of class attribute\n\t$tw.utils.each(oldClasses,function(oldClass){\n\t\tvar i = domNodeClasses.indexOf(oldClass);\n\t\tif(i !== -1) {\n\t\t\tdomNodeClasses.splice(i,1);\n\t\t}\n\t});\n\t//Add new classes from updated class attribute.\n\t$tw.utils.pushTop(domNodeClasses,newClasses);\n\tthis.domNode.className = domNodeClasses.join(\" \");\n}\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.actions || changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup]) || (this.popupTitle && changedTiddlers[this.popupTitle]) || changedAttributes.setTitle || changedAttributes.setField || changedAttributes.setIndex || changedAttributes.popupTitle || changedAttributes.disabled) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedAttributes[\"class\"]) {\n\t\tthis.updateDomNodeClasses();\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/checkbox.js": {
"title": "$:/core/modules/widgets/checkbox.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value;\n\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxIndex) {\n\t\t\tvar value = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n\tif(this.checkboxCheckActions && checked) {\n\t\tthis.invokeActionString(this.checkboxCheckActions,this,event);\n\t}\n\tif(this.checkboxUncheckActions && !checked) {\n\t\tthis.invokeActionString(this.checkboxUncheckActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxCheckActions = this.getAttribute(\"checkactions\");\n\tthis.checkboxUncheckActions = this.getAttribute(\"uncheckactions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.disabled) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/codeblock.js": {
"title": "$:/core/modules/widgets/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/count.js": {
"title": "$:/core/modules/widgets/count.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = \"0\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/diff-text.js": {
"title": "$:/core/modules/widgets/diff-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/diff-text.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display a diff between two texts\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tdmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nvar DiffTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDiffTextWidget.prototype = new Widget();\n\nDiffTextWidget.prototype.invisibleCharacters = {\n\t\"\\n\": \"↩︎\\n\",\n\t\"\\r\": \"⇠\",\n\t\"\\t\": \"⇥\\t\"\n};\n\n/*\nRender this widget into the DOM\n*/\nDiffTextWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create the diff\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tdiffs = dmpObject.diff_main(this.getAttribute(\"source\"),this.getAttribute(\"dest\"));\n\t// Apply required cleanup\n\tswitch(this.getAttribute(\"cleanup\",\"semantic\")) {\n\t\tcase \"none\":\n\t\t\t// No cleanup\n\t\t\tbreak;\n\t\tcase \"efficiency\":\n\t\t\tdmpObject.diff_cleanupEfficiency(diffs);\n\t\t\tbreak;\n\t\tdefault: // case \"semantic\"\n\t\t\tdmpObject.diff_cleanupSemantic(diffs);\n\t\t\tbreak;\n\t}\n\t// Create the elements\n\tvar domContainer = this.document.createElement(\"div\"), \n\t\tdomDiff = this.createDiffDom(diffs);\n\tparent.insertBefore(domContainer,nextSibling);\n\t// Set variables\n\tthis.setVariable(\"diff-count\",diffs.reduce(function(acc,diff) {\n\t\tif(diff[0] !== dmp.DIFF_EQUAL) {\n\t\t\tacc++;\n\t\t}\n\t\treturn acc;\n\t},0).toString());\n\t// Render child widgets\n\tthis.renderChildren(domContainer,null);\n\t// Render the diff\n\tdomContainer.appendChild(domDiff);\n\t// Save our container\n\tthis.domNodes.push(domContainer);\n};\n\n/*\nCreate DOM elements representing a list of diffs\n*/\nDiffTextWidget.prototype.createDiffDom = function(diffs) {\n\tvar self = this;\n\t// Create the element and assign the attributes\n\tvar domPre = this.document.createElement(\"pre\"),\n\t\tdomCode = this.document.createElement(\"code\");\n\t$tw.utils.each(diffs,function(diff) {\n\t\tvar tag = diff[0] === dmp.DIFF_INSERT ? \"ins\" : (diff[0] === dmp.DIFF_DELETE ? \"del\" : \"span\"),\n\t\t\tclassName = diff[0] === dmp.DIFF_INSERT ? \"tc-diff-insert\" : (diff[0] === dmp.DIFF_DELETE ? \"tc-diff-delete\" : \"tc-diff-equal\"),\n\t\t\tdom = self.document.createElement(tag),\n\t\t\ttext = diff[1],\n\t\t\tcurrPos = 0,\n\t\t\tre = /([\\x00-\\x1F])/mg,\n\t\t\tmatch = re.exec(text),\n\t\t\tspan,\n\t\t\tprintable;\n\t\tdom.className = className;\n\t\twhile(match) {\n\t\t\tif(currPos < match.index) {\n\t\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos,match.index)));\n\t\t\t}\n\t\t\tspan = self.document.createElement(\"span\");\n\t\t\tspan.className = \"tc-diff-invisible\";\n\t\t\tprintable = self.invisibleCharacters[match[0]] || (\"[0x\" + match[0].charCodeAt(0).toString(16) + \"]\");\n\t\t\tspan.appendChild(self.document.createTextNode(printable));\n\t\t\tdom.appendChild(span);\n\t\t\tcurrPos = match.index + match[0].length;\n\t\t\tmatch = re.exec(text);\n\t\t}\n\t\tif(currPos < text.length) {\n\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos)));\n\t\t}\n\t\tdomCode.appendChild(dom);\n\t});\n\tdomPre.appendChild(domCode);\n\treturn domPre;\n};\n\n/*\nCompute the internal state of the widget\n*/\nDiffTextWidget.prototype.execute = function() {\n\t// Make child widgets\n\tvar parseTreeNodes;\n\tif(this.parseTreeNode && this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: \"$:/language/Diffs/CountMessage\"}\n\t\t\t}\n\t\t}];\n\t}\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDiffTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.dest || changedAttributes.cleanup) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports[\"diff-text\"] = DiffTextWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/draggable.js": {
"title": "$:/core/modules/widgets/draggable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\tvar tag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [\"tc-draggable\"];\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Add event handlers\n\t$tw.utils.makeDraggable({\n\t\tdomNode: domNode,\n\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\tstartActions: self.startActions,\n\t\tendActions: self.endActions,\n\t\twidget: this\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\tthis.startActions = this.getAttribute(\"startactions\");\n\tthis.endActions = this.getAttribute(\"endactions\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/droppable.js": {
"title": "$:/core/modules/widgets/droppable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this,\n\t\ttag = this.parseTreeNode.isBlock ? \"div\" : \"span\",\n\t\tdomNode;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tdomNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\tthis.assignDomNodeClasses();\n\t// Add event handlers\n\tif(this.droppableEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t\t]);\t\t\n\t} else {\n\t\t$tw.utils.addClass(this.domNode,this.disabledClass);\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\tif(this.domNodes[0]) {\n\t\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t\t}\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title, modifier: modifierKey});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\tthis.disabledClass = this.getAttribute(\"disabledClass\",\"\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nDroppableWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tthis.domNode.className = classes.join(\" \");\t\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes.enable || changedAttributes.disabledClass || changedAttributes.actions || changedAttributes.effect) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedAttributes[\"class\"]) {\n\t\tthis.assignDomNodeClasses();\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/dropzone.js": {
"title": "$:/core/modules/widgets/dropzone.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = this.dropzoneClass || \"tc-dropzone\";\n\t// Add event handlers\n\tif(this.dropzoneEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\t\t\n\t}\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent = function(event) {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDragEndEvent = function(event) {\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray), autoOpenOnImport: self.autoOpenOnImport, importTitle: self.importTitle});\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\tif(dataTransfer.files) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\t$tw.utils.importDataTransfer(dataTransfer,this.wiki.generateNewTitle(\"Untitled\"),readFileCallback);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray), autoOpenOnImport: self.autoOpenOnImport, importTitle: self.importTitle});\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1 && !event.target.isContentEditable) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields]), autoOpenOnImport: self.autoOpenOnImport, importTitle: self.importTitle});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneClass = this.getAttribute(\"class\");\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\tthis.dropzoneEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\tthis.autoOpenOnImport = this.getAttribute(\"autoOpenOnImport\");\n\tthis.importTitle = this.getAttribute(\"importTitle\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.enable || changedAttributes.autoOpenOnImport || changedAttributes.importTitle || changedAttributes.deserializer || changedAttributes.class) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-binary.js": {
"title": "$:/core/modules/widgets/edit-binary.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Get our parameters\n\tvar editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tvar tiddler = this.wiki.getTiddler(editTitle);\n\tvar type = tiddler.fields.type;\n\tvar text = tiddler.fields.text;\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on draft tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!draft.title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!draft.title\"}\n\t\t},\n\t\tchildren: [{\n\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to internal data URI (no external)\n\tif(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets([element]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-bitmap.js": {
"title": "$:/core/modules/widgets/edit-bitmap.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370,\n\tDEFAULT_IMAGE_TYPE = \"image/png\";\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tif(tiddler && tiddler.fields.type && tiddler.fields.text) {\n\t\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\t\t\n\t} else {\n\t\tcurrImage.width = DEFAULT_IMAGE_WIDTH;\n\t\tcurrImage.height = DEFAULT_IMAGE_HEIGHT;\n\t\tcurrImage.onerror();\n\t}\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\n/*\n** Rotate the canvas left by 90 degrees\n*/\nEditBitmapWidget.prototype.rotateCanvasLeft = function() {\n\t// Get the current size of the image\n\tvar origWidth = this.currCanvas.width,\n\t\torigHeight = this.currCanvas.height;\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\"),\n\t\tnewWidth = origHeight,\n\t\tnewHeight = origWidth;\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.save();\n\tctx.translate(newWidth / 2,newHeight / 2);\n\tctx.rotate(-Math.PI / 2);\n\tctx.drawImage(this.currCanvas,-origWidth / 2,-origHeight / 2);\n\tctx.restore();\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle) || new $tw.Tiddler({title: this.editTitle,type: DEFAULT_IMAGE_TYPE});\n\t// data URIs look like \"data:<type>;base64,<text>\"\n\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\tposColon = dataURL.indexOf(\":\"),\n\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\tposComma = dataURL.indexOf(\",\"),\n\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\ttext = dataURL.substring(posComma+1);\n\tvar update = {type: type, text: text};\n\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-shortcut.js": {
"title": "$:/core/modules/widgets/edit-shortcut.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\t\t\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n\t// Focus the input Node if focus === \"yes\" or focus === \"true\"\n\tif(this.shortcutFocus === \"yes\" || this.shortcutFocus === \"true\") {\n\t\tthis.focus();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n\tthis.shortcutFocus = this.getAttribute(\"focus\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\t\t\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nfocus the input node\n*/\nEditShortcutWidget.prototype.focus = function() {\n\tif(this.inputNode.focus && this.inputNode.select) {\n\t\tthis.inputNode.focus();\n\t\tthis.inputNode.select();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"] || changedAttributes.focus) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-text.js": {
"title": "$:/core/modules/widgets/edit-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit.js": {
"title": "$:/core/modules/widgets/edit.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\tthis.editFocus = this.getAttribute(\"focus\",\"\");\n\tthis.editCancelPopups = this.getAttribute(\"cancelPopups\",\"\");\n\tthis.editInputActions = this.getAttribute(\"inputActions\");\n\tthis.editRefreshTitle = this.getAttribute(\"refreshTitle\");\n\tthis.editAutoComplete = this.getAttribute(\"autocomplete\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: this.parseTreeNode.attributes,\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tabindex || changedAttributes.cancelPopups || changedAttributes.inputActions || changedAttributes.refreshTitle || changedAttributes.autocomplete || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/element.js": {
"title": "$:/core/modules/widgets/element.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\t// Neuter blacklisted elements\n\tthis.tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(this.tag) !== -1) {\n\t\tthis.tag = \"safe-\" + this.tag;\n\t}\n\t// Adjust headings by the current base level\n\tvar headingLevel = [\"h1\",\"h2\",\"h3\",\"h4\",\"h5\",\"h6\"].indexOf(this.tag);\n\tif(headingLevel !== -1) {\n\t\tvar baseLevel = parseInt(this.getVariable(\"tv-adjust-heading-level\",\"0\"),10) || 0;\n\t\theadingLevel = Math.min(Math.max(headingLevel + 1 + baseLevel,1),6);\n\t\tthis.tag = \"h\" + headingLevel;\n\t}\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Invoke the th-rendering-element hook\n\tvar parseTreeNodes = $tw.hooks.invokeHook(\"th-rendering-element\",null,this);\n\tthis.isReplaced = !!parseTreeNodes;\n\tif(parseTreeNodes) {\n\t\t// Use the parse tree nodes provided by the hook\n\t\tthis.makeChildWidgets(parseTreeNodes);\n\t\tthis.renderChildren(this.parentDomNode,null);\n\t\treturn;\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n\t// Create the DOM node and render children\n\tvar domNode = this.document.createElementNS(this.namespace,this.tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\tif(!this.isReplaced) {\n\t\t\t// Update our attributes\n\t\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\t\t\t\n\t\t} else {\n\t\t\t// If we were replaced then completely refresh ourselves\n\t\t\treturn this.refreshSelf();\n\t\t}\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/encrypt.js": {
"title": "$:/core/modules/widgets/encrypt.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/entity.js": {
"title": "$:/core/modules/widgets/entity.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/eventcatcher.js": {
"title": "$:/core/modules/widgets/eventcatcher.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/eventcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nEvent handler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EventWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEventWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEventWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.elementTag && $tw.config.htmlUnsafeElements.indexOf(this.elementTag) === -1) {\n\t\ttag = this.elementTag;\n\t}\t\n\tvar domNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\t// Assign classes\n\tthis.assignDomNodeClasses();\t\n\t// Add our event handler\n\t$tw.utils.each(this.types,function(type) {\n\t\tdomNode.addEventListener(type,function(event) {\n\t\t\tvar selector = self.getAttribute(\"selector\"),\n\t\t\t\tactions = self.getAttribute(\"actions-\"+type),\n\t\t\t\tselectedNode = event.target,\n\t\t\t\tselectedNodeRect,\n\t\t\t\tcatcherNodeRect,\n\t\t\t\tvariables = {};\n\t\t\tif(selector) {\n\t\t\t\t// Search ancestors for a node that matches the selector\n\t\t\t\twhile(!selectedNode.matches(selector) && selectedNode !== domNode) {\n\t\t\t\t\tselectedNode = selectedNode.parentNode;\n\t\t\t\t}\n\t\t\t\t// If we found one, copy the attributes as variables, otherwise exit\n\t\t\t\tif(selectedNode.matches(selector)) {\n\t\t\t\t\t$tw.utils.each(selectedNode.attributes,function(attribute) {\n\t\t\t\t\t\tvariables[\"dom-\" + attribute.name] = attribute.value.toString();\n\t\t\t\t\t});\n\t\t\t\t\t//Add a variable with a popup coordinate string for the selected node\n\t\t\t\t\tvariables[\"tv-popup-coords\"] = \"(\" + selectedNode.offsetLeft + \",\" + selectedNode.offsetTop +\",\" + selectedNode.offsetWidth + \",\" + selectedNode.offsetHeight + \")\";\n\t\t\t\t\t\n\t\t\t\t\t//Add variables for offset of selected node\n\t\t\t\t\tvariables[\"tv-selectednode-posx\"] = selectedNode.offsetLeft.toString();\n\t\t\t\t\tvariables[\"tv-selectednode-posy\"] = selectedNode.offsetTop.toString();\n\t\t\t\t\tvariables[\"tv-selectednode-width\"] = selectedNode.offsetWidth.toString();\n\t\t\t\t\tvariables[\"tv-selectednode-height\"] = selectedNode.offsetHeight.toString();\n\n\t\t\t\t\t//Add variables for event X and Y position relative to selected node\n\t\t\t\t\tselectedNodeRect = selectedNode.getBoundingClientRect();\t\t\t\t\n\t\t\t\t\tvariables[\"event-fromselected-posx\"] = (event.clientX - selectedNodeRect.left).toString();\n\t\t\t\t\tvariables[\"event-fromselected-posy\"] = (event.clientY - selectedNodeRect.top).toString();\n\n\t\t\t\t\t//Add variables for event X and Y position relative to event catcher node\n\t\t\t\t\tcatcherNodeRect = self.domNode.getBoundingClientRect();\n\t\t\t\t\tvariables[\"event-fromcatcher-posx\"] = (event.clientX - catcherNodeRect.left).toString();\n\t\t\t\t\tvariables[\"event-fromcatcher-posy\"] = (event.clientY - catcherNodeRect.top).toString();\n\t\t\t\t} else {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Execute our actions with the variables\n\t\t\tif(actions) {\n\t\t\t\t// Add a variable for the modifier key\n\t\t\t\tvariables.modifier = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\t\t// Add a variable for the mouse button\n\t\t\t\tif(\"button\" in event) {\n\t\t\t\t\tif(event.button === 0) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"left\";\n\t\t\t\t\t} else if(event.button === 1) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"middle\";\n\t\t\t\t\t} else if(event.button === 2) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"right\";\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tvariables[\"event-type\"] = event.type.toString();\n\t\t\t\tif(typeof event.detail === \"object\" && !!event.detail) {\n\t\t\t\t\t$tw.utils.each(event.detail,function(detailValue,detail) {\n\t\t\t\t\t\tvariables[\"event-detail-\" + detail] = detailValue.toString();\n\t\t\t\t\t});\n\t\t\t\t} else if(!!event.detail) {\n\t\t\t\t\tvariables[\"event-detail\"] = event.detail.toString();\n\t\t\t\t}\n\t\t\t\tself.invokeActionString(actions,self,event,variables);\n\t\t\t\tevent.preventDefault();\n\t\t\t\tevent.stopPropagation();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\treturn false;\n\t\t},false);\n\t});\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEventWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes that require a refresh on change\n\tthis.types = this.getAttribute(\"events\",\"\").split(\" \");\n\tthis.elementTag = this.getAttribute(\"tag\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nEventWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-eventcatcher\");\n\tthis.domNode.className = classes.join(\" \");\t\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEventWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"events\"] || changedAttributes[\"tag\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedAttributes[\"class\"]) {\n\t\tthis.assignDomNodeClasses();\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.eventcatcher = EventWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fieldmangler.js": {
"title": "$:/core/modules/widgets/fieldmangler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fields.js": {
"title": "$:/core/modules/widgets/fields.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.sort = this.getAttribute(\"sort\",\"yes\") === \"yes\";\n\tthis.sortReverse = this.getAttribute(\"sortReverse\",\"no\") === \"yes\";\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.include = this.getAttribute(\"include\",null);\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\n\t// Get the inclusion and exclusion list\n\tvar excludeArr = (this.exclude) ? this.exclude.split(\" \") : [\"text\"];\n\t// Include takes precedence\n\tvar includeArr = (this.include) ? this.include.split(\" \") : null;\n\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tif (includeArr) { // Include takes precedence\n\t\t\tfor(var i=0; i<includeArr.length; i++) {\n\t\t\t\tif(tiddler.fields[includeArr[i]]) {\n\t\t\t\t\tfields.push(includeArr[i]);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\tif(excludeArr.indexOf(fieldName) === -1) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (this.sort) fields.sort();\n\t\tif (this.sortReverse) fields.reverse();\n\t\tfor(var f=0, fmax=fields.length; f<fmax; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tvar row = this.template,\n\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\tif(reMatch) {\n\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t}\n\t\t\t}\n\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\ttext.push(row);\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif( changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude ||\n\t\tchangedAttributes.include || changedAttributes.sort || changedAttributes.sortReverse ||\n\t\tchangedTiddlers[this.tiddlerTitle] || changedAttributes.stripTitlePrefix) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/image.js": {
"title": "$:/core/modules/widgets/image.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/importvariables.js": {
"title": "$:/core/modules/widgets/importvariables.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar widgetPointer = this;\n\t// Got to flush all the accumulated variables\n\tthis.variables = new this.variablesConstructor();\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = widgetPointer.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tvar node = {\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params,\n\t\t\t\t\tisMacroDefinition: parseTreeNode.isMacroDefinition\n\t\t\t\t};\n\t\t\t\tif (parseTreeNode.isMacroDefinition) {\n\t\t\t\t\t// Macro definitions can be folded into\n\t\t\t\t\t// current widget instead of adding\n\t\t\t\t\t// another link to the chain.\n\t\t\t\t\tvar widget = widgetPointer.makeChildWidget(node);\n\t\t\t\t\twidget.computeAttributes();\n\t\t\t\t\twidget.execute();\n\t\t\t\t\t// We SHALLOW copy over all variables\n\t\t\t\t\t// in widget. We can't use\n\t\t\t\t\t// $tw.utils.assign, because that copies\n\t\t\t\t\t// up the prototype chain, which we\n\t\t\t\t\t// don't want.\n\t\t\t\t\t$tw.utils.each(Object.keys(widget.variables), function(key) {\n\t\t\t\t\t\twidgetPointer.variables[key] = widget.variables[key];\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\twidgetPointer.children = [widgetPointer.makeChildWidget(node)];\n\t\t\t\t\t// No more regenerating children for\n\t\t\t\t\t// this widget. If it needs to refresh,\n\t\t\t\t\t// it'll do so along with the the whole\n\t\t\t\t\t// importvariable tree.\n\t\t\t\t\tif (widgetPointer != this) {\n\t\t\t\t\t\twidgetPointer.makeChildWidgets = function(){};\n\t\t\t\t\t}\n\t\t\t\t\twidgetPointer = widgetPointer.children[0];\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\n\tif (widgetPointer != this) {\n\t\twidgetPointer.parseTreeNode.children = this.parseTreeNode.children;\n\t} else {\n\t\twidgetPointer.makeChildWidgets();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/keyboard.js": {
"title": "$:/core/modules/widgets/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.keyboardManager.checkKeyDescriptors(event,self.keyInfoArray)) {\n\t\t\tvar handled = self.invokeActions(self,event);\n\t\t\tif(self.actions) {\n\t\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t\t}\n\t\t\tself.dispatchMessage(event);\n\t\t\tif(handled || self.actions || self.message) {\n\t\t\t\tevent.preventDefault();\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\",\"\");\n\tthis.message = this.getAttribute(\"message\",\"\");\n\tthis.param = this.getAttribute(\"param\",\"\");\n\tthis.key = this.getAttribute(\"key\",\"\");\n\tthis.tag = this.getAttribute(\"tag\",\"\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tif(this.key.substr(0,2) === \"((\" && this.key.substr(-2,2) === \"))\") {\n\t\tthis.shortcutTiddlers = [];\n\t\tvar name = this.key.substring(2,this.key.length -2);\n\t\t$tw.utils.each($tw.keyboardManager.lookupNames,function(platformDescriptor) {\n\t\t\tself.shortcutTiddlers.push(\"$:/config/\" + platformDescriptor + \"/\" + name);\n\t\t});\n\t}\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\t// Update the keyInfoArray if one of its shortcut-config-tiddlers has changed\n\tif(this.shortcutTiddlers && $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers)) {\n\t\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/link.js": {
"title": "$:/core/modules/widgets/link.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"}),\n\t\tdomNode = this.document.createElementNS(namespace,tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.overrideClasses === undefined) {\n\t\tclasses.push(\"tc-tiddlylink\");\n\t\tif(this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t\t}\n\t\tif(this.isMissing && !this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t\t} else {\n\t\t\tif(!this.isMissing) {\n\t\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t\t}\n\t\t}\n\t\tif(this.linkClasses) {\n\t\t\tclasses.push(this.linkClasses);\t\t\t\n\t\t}\n\t} else if(this.overrideClasses !== \"\") {\n\t\tclasses.push(this.overrideClasses)\n\t}\n\tif(classes.length > 0) {\n\t\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t}\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",encodeURIComponent(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tvar namespaceHref = (namespace === \"http://www.w3.org/2000/svg\") ? \"http://www.w3.org/1999/xlink\" : undefined;\n\t\tdomNode.setAttributeNS(namespaceHref,\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey,\n\t\tevent: event\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.overrideClasses = this.getAttribute(\"overrideClass\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = (this.getVariable(\"tv-show-missing-links\") || \"yes\") === \"no\";\n\t// Make the child widgets\n\tvar templateTree;\n\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\ttemplateTree = this.parseTreeNode.children;\n\t} else {\n\t\t// Default template is a link to the title\n\t\ttemplateTree = [{type: \"text\", text: this.to}];\n\t}\n\tthis.makeChildWidgets(templateTree);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/linkcatcher.js": {
"title": "$:/core/modules/widgets/linkcatcher.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo, modifier: modifierKey});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t// This is a navigate event generated by the actions of this linkcatcher, so we don't trap it again, but just pass it to the parent\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: \"tm-navigate\",\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/list.js": {
"title": "$:/core/modules/widgets/list.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar parser,\n\t\temptyMessage = this.getAttribute(\"emptyMessage\",\"\");\n\t// this.wiki.parseText() calls \n\t// new Parser(..), which should only be done, if needed, because it's heavy!\n\tif (emptyMessage === \"\") {\n\t\treturn [];\n\t}\n\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/log.js": {
"title": "$:/core/modules/widgets/log.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/log.js\ntype: application/javascript\nmodule-type: widget-subclass\n\nWidget to log debug messages\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.baseClass = \"action-log\";\n\nexports.name = \"log\";\n\nexports.constructor = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n}\n\nexports.prototype = {};\n\nexports.prototype.render = function(event) {\n\tObject.getPrototypeOf(Object.getPrototypeOf(this)).render.call(this,event);\t\n\tObject.getPrototypeOf(Object.getPrototypeOf(this)).log.call(this);\n}\n\n})();",
"type": "application/javascript",
"module-type": "widget-subclass"
},
"$:/core/modules/widgets/macrocall.js": {
"title": "$:/core/modules/widgets/macrocall.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar macroName = this.parseTreeNode.name || this.getAttribute(\"$name\"),\n\t\tvariableInfo = this.getVariableInfo(macroName,{params: params}),\n\t\ttext = variableInfo.text,\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\t// Check if we've already cached parsing this macro\n\t\tvar mode = this.parseTreeNode.isBlock ? \"blockParser\" : \"inlineParser\",\n\t\t\tparser;\n\t\tif(variableInfo.srcVariable && variableInfo.srcVariable[mode]) {\n\t\t\tparser = variableInfo.srcVariable[mode];\n\t\t} else {\n\t\t\tparser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\t\tif(variableInfo.isCacheable && variableInfo.srcVariable) {\n\t\t\t\tvariableInfo.srcVariable[mode] = parser;\n\t\t\t}\n\t\t}\n\t\tvar parseTreeNodes = parser ? parser.tree : [];\n\t\t// Wrap the parse tree in a vars widget assigning the parameters to variables named \"__paramname__\"\n\t\tvar attributes = {};\n\t\t$tw.utils.each(variableInfo.params,function(param) {\n\t\t\tvar name = \"__\" + param.name + \"__\";\n\t\t\tattributes[name] = {\n\t\t\t\tname: name,\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: param.value\n\t\t\t};\n\t\t});\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"vars\",\n\t\t\tattributes: attributes,\n\t\t\tchildren: parseTreeNodes\n\t\t}];\n\t} else if(this.renderOutput === \"text/raw\") {\n\t\tparseTreeNodes = [{type: \"text\", text: text}];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/navigator.js": {
"title": "$:/core/modules/widgets/navigator.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\tthis.story = new $tw.Story({\n\t\twiki: this.wiki,\n\t\tstoryTitle: this.storyTitle,\n\t\thistoryTitle: this.historyTitle\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tif(this.storyTitle) {\n\t\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t\t{title: this.storyTitle},\n\t\t\tstoryTiddler,\n\t\t\t{list: storyList}\n\t\t));\t\t\n\t}\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tif(storyList) {\n\t\tvar p = storyList.indexOf(title);\n\t\twhile(p !== -1) {\n\t\t\tstoryList.splice(p,1);\n\t\t\tp = storyList.indexOf(title);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tif(storyList) {\n\t\tvar pos = storyList.indexOf(oldTitle);\n\t\tif(pos !== -1) {\n\t\t\tstoryList[pos] = newTitle;\n\t\t\tdo {\n\t\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\t\tif(pos !== -1) {\n\t\t\t\t\tstoryList.splice(pos,1);\n\t\t\t\t}\n\t\t\t} while(pos !== -1);\n\t\t} else {\n\t\t\tstoryList.splice(0,0,newTitle);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tif(this.storyTitle) {\n\t\tthis.story.addToStory(title,fromTitle,{\n\t\t\topenLinkFromInsideRiver: this.getAttribute(\"openLinkFromInsideRiver\",\"top\"),\n\t\t\topenLinkFromOutsideRiver: this.getAttribute(\"openLinkFromOutsideRiver\",\"top\")\n\t\t});\n\t}\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.story.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event);\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\t\ttext: \"\",\n\t\t\t},\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\treturn this.wiki.generateDraftTitle(title);\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler,tiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-cancelling-tiddler\", event);\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-new-tiddler\", event);\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList && storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tif(slot === -1) {\n\t\t\tslot = this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\" ? storyList.length - 1 : slot;\n\t\t}\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList && storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTitle = event.importTitle ? event.importTitle : IMPORT_TITLE,\n\t\timportTiddler = this.wiki.getTiddler(importTitle),\n\t\timportData = this.wiki.getTiddlerData(importTitle,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: importTitle,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t\tnewFields[\"suppressed-\" + title] = \"yes\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tvar autoOpenOnImport = event.autoOpenOnImport ? event.autoOpenOnImport : this.getVariable(\"tv-auto-open-on-import\"); \n\tif(autoOpenOnImport !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList && storyList.indexOf(importTitle) === -1) {\n\t\t\tstoryList.unshift(importTitle);\n\t\t}\n\t\t// And to history\n\t\thistory.push(importTitle);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tif($tw.utils.hop(importTiddler.fields,[\"rename-\" + title])) {\n\t\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields,{title : importTiddler.fields[\"rename-\" + title]});\n\t\t\t} else {\n\t\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\t}\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddler.fields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix || \"$:/state/folded/\";\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar options = {},\n\t\tparamObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\toptions.dontRenameInTags = (paramObject.renameInTags === \"false\" || paramObject.renameInTags === \"no\") ? true : false;\n\toptions.dontRenameInLists = (paramObject.renameInLists === \"false\" || paramObject.renameInLists === \"no\") ? true : false;\n\tthis.wiki.renameTiddler(from,to,options);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/password.js": {
"title": "$:/core/modules/widgets/password.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/qualify.js": {
"title": "$:/core/modules/widgets/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/qualify.js\ntype: application/javascript\nmodule-type: widget\n\nQualify text to a variable \n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar QualifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nQualifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nQualifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nQualifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.qualifyName = this.getAttribute(\"name\");\n\tthis.qualifyTitle = this.getAttribute(\"title\");\n\t// Set context variable\n\tif(this.qualifyName) {\n\t\tthis.setVariable(this.qualifyName,this.qualifyTitle + \"-\" + this.getStateQualifier());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nQualifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.title) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.qualify = QualifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/radio.js": {
"title": "$:/core/modules/widgets/radio.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tvar isChecked = this.getValue() === this.radioValue;\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\n\t\t\"tc-radio \" + this.radioClass + (isChecked ? \" tc-radio-selected\" : \"\")\n\t);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(isChecked) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif (this.radioIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex);\n\t} else {\n\t\tvalue = tiddler && tiddler.getFieldString(this.radioField);\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n\t// Trigger actions\n\tif(this.radioActions) {\n\t\tthis.invokeActionString(this.radioActions,this,event,{\"actionValue\": this.radioValue});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\tthis.radioActions = this.getAttribute(\"actions\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(($tw.utils.count(changedAttributes) > 0) || changedTiddlers[this.radioTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/range.js": {
"title": "$:/core/modules/widgets/range.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/range.js\ntype: application/javascript\nmodule-type: widget\n\nRange widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RangeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRangeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRangeWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"range\");\n\tthis.inputDomNode.setAttribute(\"class\",this.elementClass);\n\tif(this.minValue){\n\t\tthis.inputDomNode.setAttribute(\"min\", this.minValue);\n\t}\n\tif(this.maxValue){\n\t\tthis.inputDomNode.setAttribute(\"max\", this.maxValue);\n\t}\n\tif(this.increment){\n\t\tthis.inputDomNode.setAttribute(\"step\", this.increment);\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.inputDomNode.value = this.getValue();\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name:\"mousedown\", handlerObject:this, handlerMethod:\"handleMouseDownEvent\"},\n\t\t{name:\"mouseup\", handlerObject:this, handlerMethod:\"handleMouseUpEvent\"},\n\t\t{name:\"change\", handlerObject:this, handlerMethod:\"handleChangeEvent\"},\n\t\t{name:\"input\", handlerObject:this, handlerMethod:\"handleInputEvent\"},\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.inputDomNode,nextSibling);\n\tthis.domNodes.push(this.inputDomNode);\n};\n\nRangeWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle),\n\t\tfieldName = this.tiddlerField,\n\t\tvalue = this.defaultValue;\n\tif(tiddler) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.tiddlerIndex,this.defaultValue);\n\t\t} else {\n\t\t\tif($tw.utils.hop(tiddler.fields,fieldName)) {\n\t\t\t\tvalue = tiddler.fields[fieldName] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.defaultValue;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nRangeWidget.prototype.getActionVariables = function(options) {\n\toptions = options || {};\n\tvar hasChanged = (this.startValue !== this.inputDomNode.value) ? \"yes\" : \"no\";\n\t// Trigger actions. Use variables = {key:value, key:value ...}\n\t// the \"value\" is needed.\n\treturn $tw.utils.extend({\"actionValue\": this.inputDomNode.value, \"actionValueHasChanged\": hasChanged}, options);\n}\n\n// actionsStart\nRangeWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.mouseDown = true; // TODO remove once IE is gone.\n\tthis.startValue = this.inputDomNode.value; // TODO remove this line once IE is gone!\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsMouseDown) {\n\t\tvar variables = this.getActionVariables() // TODO this line will go into the function call below.\n\t\tthis.invokeActionString(this.actionsMouseDown,this,event,variables);\n\t}\n}\n\n// actionsStop\nRangeWidget.prototype.handleMouseUpEvent = function(event) {\n\tthis.mouseDown = false; // TODO remove once IE is gone.\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsMouseUp) {\n\t\tvar variables = this.getActionVariables()\n\t\tthis.invokeActionString(this.actionsMouseUp,this,event,variables);\n\t}\n\t// TODO remove the following if() once IE is gone!\n\tif ($tw.browser.isIE) {\n\t\tif (this.startValue !== this.inputDomNode.value) {\n\t\t\tthis.handleChangeEvent(event);\n\t\t\tthis.startValue = this.inputDomNode.value;\n\t\t}\n\t}\n}\n\nRangeWidget.prototype.handleChangeEvent = function(event) {\n\tif (this.mouseDown) { // TODO refactor this function once IE is gone.\n\t\tthis.handleInputEvent(event);\n\t}\n};\n\nRangeWidget.prototype.handleInputEvent = function(event) {\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsInput) {\n\t\t// \"tiddler\" parameter may be missing. See .execute() below\n\t\tvar variables = this.getActionVariables({\"actionValueHasChanged\": \"yes\"}) // TODO this line will go into the function call below.\n\t\tthis.invokeActionString(this.actionsInput,this,event,variables);\n\t}\n};\n\nRangeWidget.prototype.handleEvent = function(event) {\n\tif(this.getValue() !== this.inputDomNode.value) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,\"\",this.tiddlerIndex,this.inputDomNode.value);\n\t\t} else {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,this.tiddlerField,null,this.inputDomNode.value);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRangeWidget.prototype.execute = function() {\n\t// TODO remove the next 1 lines once IE is gone!\n\tthis.mouseUp = true; // Needed for IE10\n\t// Get the parameters from the attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.tiddlerField = this.getAttribute(\"field\",\"text\");\n\tthis.tiddlerIndex = this.getAttribute(\"index\");\n\tthis.minValue = this.getAttribute(\"min\");\n\tthis.maxValue = this.getAttribute(\"max\");\n\tthis.increment = this.getAttribute(\"increment\");\n\tthis.defaultValue = this.getAttribute(\"default\",\"\");\n\tthis.elementClass = this.getAttribute(\"class\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Actions since 5.1.23\n\t// Next 2 only fire once!\n\tthis.actionsMouseDown = this.getAttribute(\"actionsStart\",\"\");\n\tthis.actionsMouseUp = this.getAttribute(\"actionsStop\",\"\");\n\t// Input fires very often!\n\tthis.actionsInput = this.getAttribute(\"actions\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRangeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.tiddlerTitle]) {\n\t\t\tvar value = this.getValue();\n\t\t\tif(this.inputDomNode.value !== value) {\n\t\t\t\tthis.inputDomNode.value = value;\n\t\t\t}\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.range = RangeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/raw.js": {
"title": "$:/core/modules/widgets/raw.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/reveal.js": {
"title": "$:/core/modules/widgets/reveal.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\tthis.assignDomNodeClasses();\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tvar left,top;\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"belowright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\t\t\t\n\t\tcase \"right\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tleft = this.popup.left + this.popup.width - domNode.offsetWidth;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tcase \"aboveleft\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\t\t\t\n\t\tdefault: // Below\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t}\n\tif(!this.positionAllowNegative) {\n\t\tleft = Math.max(0,left);\n\t\ttop = Math.max(0,top);\n\t}\n\tdomNode.style.left = left + \"px\";\n\tdomNode.style.top = top + \"px\";\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis.positionAllowNegative = this.getAttribute(\"positionAllowNegative\") === \"yes\";\n\t// class attribute handled in assignDomNodeClasses()\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\tthis.updatePopupPosition = this.getAttribute(\"updatePopupPosition\",\"no\") === \"yes\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTiddlerTitle = this.state;\n\tthis.stateTitle = this.getAttribute(\"stateTitle\");\n\tthis.stateField = this.getAttribute(\"stateField\");\n\tthis.stateIndex = this.getAttribute(\"stateIndex\");\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state,\n\t defaultState = this[\"default\"];\n\tif(this.stateTitle) {\n\t\tvar stateTitleTiddler = this.wiki.getTiddler(this.stateTitle);\n\t\tif(this.stateField) {\n\t\t\tstate = stateTitleTiddler ? stateTitleTiddler.getFieldString(this.stateField) || defaultState : defaultState;\n\t\t} else if(this.stateIndex) {\n\t\t\tstate = stateTitleTiddler ? this.wiki.extractTiddlerDataItem(this.stateTitle,this.stateIndex) || defaultState : defaultState;\n\t\t} else if(stateTitleTiddler) {\n\t\t\tstate = this.wiki.getTiddlerText(this.stateTitle) || defaultState;\n\t\t} else {\n\t\t\tstate = defaultState;\n\t\t}\n\t} else {\n\t\tstate = this.stateTiddlerTitle ? this.wiki.getTextReference(this.state,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\t}\n\tif(state === null) {\n\t\tstate = this[\"default\"];\n\t}\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.isOpen = this.text === state;\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.isOpen = this.text !== state;\n\t\t\tbreak;\n\t\tcase \"lt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t\tcase \"gt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"lteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"gteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.compareStateText = function(state) {\n\treturn state.localeCompare(this.text,undefined,{numeric: true,sensitivity: \"case\"});\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\nRevealWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-reveal\");\n\tthis.domNode.className = classes.join(\" \");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes.positionAllowNegative || changedAttributes[\"default\"] || changedAttributes.animate || changedAttributes.stateTitle || changedAttributes.stateField || changedAttributes.stateIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar currentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t} else if(this.type === \"popup\" && this.updatePopupPosition && (changedTiddlers[this.state] || changedTiddlers[this.stateTitle])) {\n\t\t\tthis.positionPopup(this.domNode);\n\t\t}\n\t\tif(changedAttributes.style) {\n\t\t\tthis.domNode.style = this.getAttribute(\"style\",\"\");\n\t\t}\n\t\tif(changedAttributes[\"class\"]) {\n\t\t\tthis.assignDomNodeClasses();\n\t\t}\t\t\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\tvar self = this;\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\t//make sure that the state hasn't changed during the close animation\n\t\t\tself.readState()\n\t\t\tif(!self.isOpen) {\n\t\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t\t\t}\n\t\t}});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/scrollable.js": {
"title": "$:/core/modules/widgets/scrollable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tif(event.paramObject && event.paramObject.selector) {\n\t\tthis.scrollSelectorIntoView(null,event.paramObject.selector);\n\t} else {\n\t\tthis.scrollIntoView(event.target);\t\t\t\n\t}\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\tsrcWindow = element ? element.ownerDocument.defaultView : window;\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\nScrollableWidget.prototype.scrollSelectorIntoView = function(baseElement,selector,callback) {\n\tbaseElement = baseElement || document.body;\n\tvar element = baseElement.querySelector(selector);\n\tif(element) {\n\t\tthis.scrollIntoView(element,callback);\t\t\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/select.js": {
"title": "$:/core/modules/widgets/select.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex,value);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tselect.children[i].selected = values.indexOf(select.children[i].value) !== -1\n\t\t}\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\tthis.selectTooltip = this.getAttribute(\"tooltip\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tif(this.selectTooltip) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"title\",this.selectTooltip);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex || changedAttributes.selectTooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/set.js": {
"title": "$:/core/modules/widgets/set.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,!!this.parseTreeNode.isMacroDefinition);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler;\n\t\tif(this.setSubTiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.setTiddler,this.setSubTiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.setTiddler);\t\t\t\n\t\t}\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(this.setValue == null) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\t\t\t\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/text.js": {
"title": "$:/core/modules/widgets/text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/tiddler.js": {
"title": "$:/core/modules/widgets/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/transclude.js": {
"title": "$:/core/modules/widgets/transclude.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\tthis.recursionMarker = this.getAttribute(\"recursionMarker\",\"yes\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tif(this.recursionMarker === \"yes\") {\n\t\tthis.setVariable(\"transclusion\",recursionMarker);\n\t}\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/vars.js": {
"title": "$:/core/modules/widgets/vars.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/view.js": {
"title": "$:/core/modules/widgets/view.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/widget.js": {
"title": "$:/core/modules/widgets/widget.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning that the widget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\t// Get widget classes\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t\t// Process any subclasses\n\t\t$tw.modules.forEachModuleOfType(\"widget-subclass\",function(title,module) {\n\t\t\tif(module.baseClass) {\n\t\t\t\tvar baseClass = Widget.prototype.widgetClasses[module.baseClass];\n\t\t\t\tif(!baseClass) {\n\t\t\t\t\tthrow \"Module '\" + title + \"' is attemping to extend a non-existent base class '\" + module.baseClass + \"'\";\n\t\t\t\t}\n\t\t\t\tvar subClass = module.constructor;\n\t\t\t\tsubClass.prototype = new baseClass();\n\t\t\t\t$tw.utils.extend(subClass.prototype,module.prototype);\n\t\t\t\tWidget.prototype.widgetClasses[module.name || module.baseClass] = subClass;\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\nisMacroDefinition: true if the variable is set via a \\define macro pragma (and hence should have variable substitution performed)\n*/\nWidget.prototype.setVariable = function(name,value,params,isMacroDefinition) {\n\tthis.variables[name] = {value: value, params: params, isMacroDefinition: !!isMacroDefinition};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n\nReturns an object with the following fields:\n\nparams: array of {name:,value:} of parameters passed to wikitext variables\ntext: text of variable, with parameters properly substituted\n*/\nWidget.prototype.getVariableInfo = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\toriginalValue = variable.value,\n\t\t\tvalue = originalValue,\n\t\t\tparams = this.resolveVariableParameters(variable.params,actualParams);\n\t\t// Substitute any parameters specified in the definition\n\t\t$tw.utils.each(params,function(param) {\n\t\t\tvalue = $tw.utils.replaceString(value,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(param.name) + \"\\\\$\",\"mg\"),param.value);\n\t\t});\n\t\t// Only substitute variable references if this variable was defined with the \\define pragma\n\t\tif(variable.isMacroDefinition) {\n\t\t\tvalue = this.substituteVariableReferences(value);\t\t\t\n\t\t}\n\t\treturn {\n\t\t\ttext: value,\n\t\t\tparams: params,\n\t\t\tsrcVariable: variable,\n\t\t\tisCacheable: originalValue === value\n\t\t};\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn {\n\t\ttext: this.evaluateMacroModule(name,actualParams,options.defaultValue)\n\t};\n};\n\n/*\nSimplified version of getVariableInfo() that just returns the text\n*/\nWidget.prototype.getVariable = function(name,options) {\n\treturn this.getVariableInfo(name,options).text;\n};\n\nWidget.prototype.resolveVariableParameters = function(formalParams,actualParams) {\n\tformalParams = formalParams || [];\n\tactualParams = actualParams || [];\n\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\tparamInfo, paramValue,\n\t\tresults = [];\n\t// Step through each of the parameters in the macro definition\n\tfor(var p=0; p<formalParams.length; p++) {\n\t\t// Check if we've got a macro call parameter with the same name\n\t\tparamInfo = formalParams[p];\n\t\tparamValue = undefined;\n\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t}\n\t\t}\n\t\t// If not, use the next available anonymous macro call parameter\n\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\tnextAnonParameter++;\n\t\t}\n\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t}\n\t\t// If we've still not got a value, use the default, if any\n\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t// Store the parameter name and value\n\t\tresults.push({name: paramInfo.name, value: paramValue});\n\t}\n\treturn results;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"filtered\") {\n\t\t\tvalue = self.wiki.filterTiddlers(attribute.filter,self)[0] || \"\";\n\t\t} else if(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\tvar children = this.children;\n\tfor(var i = 0; i < children.length; i++) {\n\t\tchildren[i].render(parent,nextSibling);\n\t};\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\tevent.widget = event.widget || this;\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar children = this.children,\n\t\trefreshed = false;\n\tfor (var i = 0; i < children.length; i++) {\n\t\trefreshed = children[i].refresh(changedTiddlers) || refreshed;\n\t}\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction) {\n\t\t\tchild.refreshSelf();\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\n/*\nExecute action tiddlers by tag\n*/\nWidget.prototype.invokeActionsByTag = function(tag,event,variables) {\n\tvar self = this;\n\t$tw.utils.each(self.wiki.filterTiddlers(\"[all[shadows+tiddlers]tag[\" + tag + \"]!has[draft.of]]\"),function(title) {\n\t\tself.invokeActionString(self.wiki.getTiddlerText(title),self,event,variables);\n\t});\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/wikify.js": {
"title": "$:/core/modules/widgets/wikify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\t\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/wiki-bulkops.js": {
"title": "$:/core/modules/wiki-bulkops.js",
"text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.slice(0) : undefined,\n\t\t\t\t\tlist = tiddler.fields.list ? tiddler.fields.list.slice(0) : undefined,\n\t\t\t\t\tisModified = false;\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming tag '\" + tags[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming list item '\" + list[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/wiki.js": {
"title": "$:/core/modules/wiki.js",
"text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nAdd available indexers to this wiki\n*/\nexports.addIndexersToWiki = function() {\n\tvar self = this;\n\t$tw.utils.each($tw.modules.applyMethods(\"indexer\"),function(Indexer,name) {\n\t\tself.addIndexer(new Indexer(self),name);\n\t});\n};\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type] || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.isBinaryTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.encoding === \"base64\";\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric,isAlphaNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t\t\t\t\t\t\t(isDescending ? y - x : x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else if(isAlphaNumeric) {\n\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked within the given parse tree\n */\nexports.extractLinks = function(parseTreeRoot) {\n\t// Count up the links\n\tvar links = [],\n\t\tcheckParseTree = function(parseTree) {\n\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcheckParseTree(parseTreeRoot);\n\treturn links;\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\tif(parser) {\n\t\t\treturn self.extractLinks(parser.tree);\n\t\t}\n\t\treturn [];\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinksIndexer = this.getIndexer(\"BacklinksIndexer\"),\n\t\tbacklinks = backlinksIndexer && backlinksIndexer.lookup(targetTitle);\n\n\tif(!backlinks) {\n\t\tbacklinks = [];\n\t\tthis.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self.getTiddlerLinks(title);\n\t\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\t\tbacklinks.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\t// Try to use the indexer\n\tvar self = this,\n\t\ttagIndexer = this.getIndexer(\"TagIndexer\"),\n\t\tresults = tagIndexer && tagIndexer.subIndexers[3].lookup(tag);\n\tif(!results) {\n\t\t// If not available, perform a manual scan\n\t\tresults = this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\t\tvar tagmap = self.getTagMap();\n\t\t\treturn self.sortByList(tagmap[tag],tag);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar self = this,\n\t\treplacedTitles = Object.create(null);\n\t// Given a title, this function will place it in the correct location\n\t// within titles.\n\tfunction moveItemInList(title) {\n\t\tif(!$tw.utils.hop(replacedTitles, title)) {\n\t\t\treplacedTitles[title] = true;\n\t\t\tvar newPos = -1,\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(afterTitle === \"\") {\n\t\t\t\t\tnewPos = titles.length;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\t// if this title is placed relative\n\t\t\t\t\t// to another title, make sure that\n\t\t\t\t\t// title is placed before we place\n\t\t\t\t\t// this one.\n\t\t\t\t\tmoveItemInList(beforeTitle);\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\t// Same deal\n\t\t\t\t\tmoveItemInList(afterTitle);\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If a new position is specified, let's move it\n\t\t\t\tif (newPos !== -1) {\n\t\t\t\t\t// get its current Pos, and make sure\n\t\t\t\t\t// sure that it's _actually_ in the list\n\t\t\t\t\t// and that it would _actually_ move\n\t\t\t\t\t// (#4275) We don't bother calling\n\t\t\t\t\t// indexOf unless we have a new\n\t\t\t\t\t// position to work with\n\t\t\t\t\tvar currPos = titles.indexOf(title);\n\t\t\t\t\tif(currPos >= 0 && newPos !== currPos) {\n\t\t\t\t\t\t// move it!\n\t\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t\t}\n\t\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tmoveItemInList(title);\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\nexports.getTiddlersAsJson = function(filter,spaces) {\n\tvar tiddlers = this.filterTiddlers(filter),\n\t\tspaces = (spaces === undefined) ? $tw.config.preferences.jsonSpaces : spaces,\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,spaces);\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n\t// Use the generic binary parser for any binary types not registered so far\n\tif($tw.Wiki.parsers[\"application/octet-stream\"]) {\n\t\tObject.keys($tw.config.contentTypeInfo).forEach(function(type) {\n\t\t\tif(!$tw.utils.hop($tw.Wiki.parsers,type) && $tw.config.contentTypeInfo[type].encoding === \"base64\") {\n\t\t\t\t$tw.Wiki.parsers[type] = $tw.Wiki.parsers[\"application/octet-stream\"];\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type,tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.recursionMarker : optional flag to set a recursion marker, defaults to \"yes\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\trecursionMarker: {\n\t\t\t\t\tname: \"recursionMarker\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: options.recursionMarker || \"yes\"\n\t\t\t\t\t},\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn this.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tfield: If specified, restricts the search to the specified field, or an array of field names\n\tanchored: If true, forces all but regexp searches to be anchored to the start of text\n\texcludeField: If true, the field options are inverted to specify the fields that are not to be searched\n\tThe search mode is determined by the first of these boolean flags to be true\n\t\tliteral: searches for literal string\n\t\twhitespace: same as literal except runs of whitespace are treated as a single space\n\t\tregexp: treats the search term as a regular expression\n\t\twords: (default) treats search string as a list of tokens, and matches if all tokens are found, regardless of adjacency or ordering\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\",\n\t\tanchor = options.anchored ? \"^\" : \"\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else if(options.whitespace) {\n\t\tterms = [];\n\t\t$tw.utils.each(text.split(/\\s+/g),function(term) {\n\t\t\tif(term) {\n\t\t\t\tterms.push($tw.utils.escapeRegExp(term));\n\t\t\t}\n\t\t});\n\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + terms.join(\"\\\\s+\") + \")\",flags)];\n\t} else if(options.regexp) {\n\t\ttry {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + text + \")\",flags)];\t\t\t\n\t\t} catch(e) {\n\t\t\tsearchTermsRegExps = null;\n\t\t\tconsole.log(\"Regexp error parsing /(\" + text + \")/\" + flags + \": \",e);\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Accumulate the array of fields to be searched or excluded from the search\n\tvar fields = [];\n\tif(options.field) {\n\t\tif($tw.utils.isArray(options.field)) {\n\t\t\t$tw.utils.each(options.field,function(fieldName) {\n\t\t\t\tif(fieldName) {\n\t\t\t\t\tfields.push(fieldName);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tfields.push(options.field);\n\t\t}\n\t}\n\t// Use default fields if none specified and we're not excluding fields (excluding fields with an empty field array is the same as searching all fields)\n\tif(fields.length === 0 && !options.excludeField) {\n\t\tfields.push(\"title\");\n\t\tfields.push(\"tags\");\n\t\tfields.push(\"text\");\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar notYetFound = searchTermsRegExps.slice();\n\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tsearchFields;\n\t\t// Get the list of fields we're searching\n\t\tif(options.excludeField) {\n\t\t\tsearchFields = Object.keys(tiddler.fields);\n\t\t\t$tw.utils.each(fields,function(fieldName) {\n\t\t\t\tvar p = searchFields.indexOf(fieldName);\n\t\t\t\tif(p !== -1) {\n\t\t\t\t\tsearchFields.splice(p,1);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsearchFields = fields;\n\t\t}\n\t\tfor(var fieldIndex=0; notYetFound.length>0 && fieldIndex<searchFields.length; fieldIndex++) {\n\t\t\t// Don't search the text field if the content type is binary\n\t\t\tvar fieldName = searchFields[fieldIndex];\n\t\t\tif(fieldName === \"text\" && contentTypeInfo.encoding !== \"utf8\") {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tvar str = tiddler.fields[fieldName],\n\t\t\t\tt;\n\t\t\tif(str) {\n\t\t\t\tif($tw.utils.isArray(str)) {\n\t\t\t\t\t// If the field value is an array, test each regexp against each field array entry and fail if each regexp doesn't match at least one field array entry\n\t\t\t\t\tfor(var s=0; s<str.length; s++) {\n\t\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\t\tif(notYetFound[t].test(str[s])) {\n\t\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the field isn't an array, force it to a string and test each regexp against it and fail if any do not match\n\t\t\t\t\tstr = tiddler.getFieldString(fieldName);\n\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\tif(notYetFound[t].test(str)) {\n\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn notYetFound.length == 0;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(!tiddler.hasField(\"_is_skinny\")) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text || \"\";\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],$tw.utils.extend({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\"};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\t\n\tconsole.log(\"$tw.wiki.addToHistory() is deprecated since V5.1.23! Use the this.story.addToHistory() from the story-object!\")\n};\n\n/*\nAdd a new tiddler to the story river\ntitle: a title string or an array of title strings\nfromTitle: the title of the tiddler from which the navigation originated\nstoryTitle: title of story tiddler (defaults to $:/StoryList)\noptions: see story.js\n*/\nexports.addToStory = function(title,fromTitle,storyTitle,options) {\n\tvar story = new $tw.Story({wiki: this, storyTitle: storyTitle});\n\tstory.addToStory(title,fromTitle,options);\n\tconsole.log(\"$tw.wiki.addToStory() is deprecated since V5.1.23! Use the this.story.addToStory() from the story-object!\")\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nexports.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle,\n\t\tusername = this.getTiddlerText(\"$:/status/UserName\"),\n\t\tattribution = username ? \" by \" + username : \"\";\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\" + attribution;\n\t\tc++;\n\t} while(this.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n// Determine whether a plugin by title is dynamically loadable\nexports.doesPluginRequireReload = function(title) {\n\treturn this.doesPluginInfoRequireReload(this.getPluginInfo(title) || this.getTiddlerDataCached(title));\n};\n\n// Determine whether a plugin info structure is dynamically loadable\nexports.doesPluginInfoRequireReload = function(pluginInfo) {\n\tif(pluginInfo) {\n\t\tvar foundModule = false;\n\t\t$tw.utils.each(pluginInfo.tiddlers,function(tiddler) {\n\t\t\tif(tiddler.type === \"application/javascript\" && $tw.utils.hop(tiddler,\"module-type\")) {\n\t\t\t\tfoundModule = true;\n\t\t\t}\n\t\t});\n\t\treturn foundModule;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.slugify = function(title,options) {\n\tvar tiddler = this.getTiddler(title),\n\t\tslug;\n\tif(tiddler && tiddler.fields.slug) {\n\t\tslug = tiddler.fields.slug;\n\t} else {\n\t\tslug = $tw.utils.transliterate(title.toString().toLowerCase()) // Replace diacritics with basic lowercase ASCII\n\t\t\t.replace(/\\s+/g,\"-\") // Replace spaces with -\n\t\t\t.replace(/[^\\w\\-\\.]+/g,\"\") // Remove all non-word chars except dash and dot\n\t\t\t.replace(/\\-\\-+/g,\"-\") // Replace multiple - with single -\n\t\t\t.replace(/^-+/,\"\") // Trim - from start of text\n\t\t\t.replace(/-+$/,\"\"); // Trim - from end of text\n\t}\n\t// If the resulting slug is blank (eg because the title is just punctuation characters)\n\tif(!slug) {\n\t\t// ...then just use the character codes of the title\n\t\tvar result = [];\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tresult.push(char.charCodeAt(0).toString());\n\t\t});\n\t\tslug = result.join(\"-\");\n\t}\n\treturn slug;\n};\n\n})();\n\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/palettes/Blanca": {
"title": "$:/palettes/Blanca",
"name": "Blanca",
"description": "A clean white palette to let you focus",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Blue": {
"title": "$:/palettes/Blue",
"name": "Blue",
"description": "A blue theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Muted": {
"title": "$:/palettes/Muted",
"name": "Muted",
"description": "Bright tiddlers on a muted background",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastLight": {
"title": "$:/palettes/ContrastLight",
"name": "Contrast (Light)",
"description": "High contrast and unambiguous (light version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastDark": {
"title": "$:/palettes/ContrastDark",
"name": "Contrast (Dark)",
"description": "High contrast and unambiguous (dark version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/CupertinoDark": {
"title": "$:/palettes/CupertinoDark",
"tags": "$:/tags/Palette",
"name": "Cupertino Dark",
"description": "A macOS inspired dark palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #FF453A\nalert-border: #FF453A\nalert-highlight: #FFD60A\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #282828\nblockquote-bar: <<colour page-background>>\nbutton-foreground: <<colour background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #FF453A\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour tiddler-info-background>>\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: #3F638B\ndropdown-tab-background: #323232\ndropzone-background: #30D158\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #BF5AF2\nexternal-link-foreground: #32D74B\nforeground: #FFFFFF\nmenubar-background: #464646\nmenubar-foreground: #ffffff\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: #98989D\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #323232\npre-background: #464646\npre-border: transparent\nprimary: #0A84FF\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour background>>\nsidebar-controls-foreground-hover: #FF9F0A\nsidebar-controls-foreground: #8E8E93\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: #3F638B\nsidebar-tab-background: <<colour background>>\nsidebar-tab-border-selected: <<colour background>>\nsidebar-tab-border: <<colour background>>\nsidebar-tab-divider: <<colour background>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: #ffffff\nstatic-alert-foreground: #B4B4B4\ntab-background-selected: #3F638B\ntab-background: <<colour page-background>>\ntab-border-selected: <<colour page-background>>\ntab-border: <<colour page-background>>\ntab-divider: <<colour page-background>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #464646\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #48484A\ntag-foreground: #323232\ntiddler-background: <<colour background>>\ntiddler-border: transparent\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: #48484A\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #1E1E1E\ntiddler-info-border: #1E1E1E\ntiddler-info-tab-background: #3F638B\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: #464646\nselection-background: #3F638B\nselection-foreground: #ffffff\nwikilist-background: <<colour page-background>>\nwikilist-button-background: #3F638B\nwikilist-button-foreground: <<colour foreground>>\nwikilist-button-open: #32D74B\nwikilist-button-open-hover: #32D74B\nwikilist-button-reveal: #0A84FF\nwikilist-button-reveal-hover: #0A84FF\nwikilist-button-remove: #FF453A\nwikilist-button-remove-hover: #FF453A\nwikilist-droplink-dragover: #32D74B\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour foreground>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-url: <<colour muted-foreground>>\n"
},
"$:/palettes/DarkPhotos": {
"title": "$:/palettes/DarkPhotos",
"created": "20150402111612188",
"description": "Good with dark photo backgrounds",
"modified": "20150402112344080",
"name": "DarkPhotos",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/DesertSand": {
"title": "$:/palettes/DesertSand",
"tags": "$:/tags/Palette",
"name": "Desert Sand",
"description": "A desert sand palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #E9E0C7\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour foreground>>\ncode-background: #F3EDDF\ncode-border: #C3BAA1\ncode-foreground: #ab3250\ndiff-delete-background: #bd8b8b\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #91c093\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ad3434\ndownload-background: #6ca16c\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #E9E0C7\ndropdown-tab-background: #BAB29C\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #313163\nexternal-link-foreground: #555592\nforeground: #2D2A23\nmenubar-background: #CDC2A6\nmenubar-foreground: #5A5446\nmessage-background: #ECE5CF\nmessage-border: #D6CBAA\nmessage-foreground: #5f6e7d\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #8A8885\nmodal-footer-background: #CDC2A6\nmodal-footer-border: #9D998E\nmodal-header-border: #9D998E\nmuted-foreground: #9D998E\nnotification-background: #F0E9D7\nnotification-border: #939189\npage-background: #e0d3af\npre-background: #D6CBAA\npre-border: #CDC2A6\nprimary: #5B6F55\nselection-background: #9D947B\nselection-foreground: <<colour foreground>>\nselect-tag-background: #F0E9D7\nselect-tag-foreground: #2D2A23\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #2D2A23\nsidebar-controls-foreground: #867F69\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #867F69\nsidebar-muted-foreground-hover: #706A58\nsidebar-muted-foreground: #B3A98C\nsidebar-tab-background-selected: #e0d3af\nsidebar-tab-background: #A6A193\nsidebar-tab-border-selected: #C3BAA1\nsidebar-tab-border: #C3BAA1\nsidebar-tab-divider: #CDC2A6\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #2D2A23\nsidebar-tiddler-link-foreground-hover: #433F35\nsidebar-tiddler-link-foreground: #706A58\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #A6A193\ntab-background-selected: #E9E0C7\ntab-background: #A6A193\ntab-border-selected: #C3BAA1\ntab-border: #C3BAA1\ntab-divider: #CDC2A6\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #2D2A23\ntable-border: #9D998E\ntable-footer-background: #8A8885\ntable-header-background: #B0AA98\ntag-background: #706A58\ntag-foreground: #E3D7B7\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #9D947B\ntiddler-controls-foreground-selected: #706A58\ntiddler-controls-foreground: #C3BAA1\ntiddler-editor-background: #E9E0C7\ntiddler-editor-border-image: #A6A193\ntiddler-editor-border: #A6A193\ntiddler-editor-fields-even: #D6CBAA\ntiddler-editor-fields-odd: #C3BAA1\ntiddler-info-background: #E3D7B7\ntiddler-info-border: #BAB29C\ntiddler-info-tab-background: #E9E0C7\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #867F69\ntiddler-title-foreground: #374464\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #8A8885\nvery-muted-foreground: #CDC2A6\nwikilist-background: <<colour page-background>>\nwikilist-item: #CDC2A6\nwikilist-info: #161512\nwikilist-title: #433F35\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #706A58\nwikilist-button-open: #7db66a\nwikilist-button-open-hover: #56a556\nwikilist-button-reveal: #5a6c9e\nwikilist-button-reveal-hover: #454591\nwikilist-button-remove: #bc5972\nwikilist-button-remove-hover: #814040\nwikilist-toolbar-background: #CDC2A6\nwikilist-toolbar-foreground: #2D2A23\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #A6A193\nwikilist-button-foreground: #161512\n"
},
"$:/palettes/GruvboxDark": {
"title": "$:/palettes/GruvboxDark",
"name": "Gruvbox Dark",
"description": "Retro groove color scheme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "https://github.com/morhetz/gruvbox",
"text": "alert-background: #cc241d\nalert-border: #cc241d\nalert-highlight: #d79921\nalert-muted-foreground: #504945\nbackground: #3c3836\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour page-background>>\ncode-background: #504945\ncode-border: #504945\ncode-foreground: #fb4934\ndiff-delete-background: #fb4934\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #b8bb26\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #fb4934\ndownload-background: #b8bb26\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #665c54\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ebdbb2\ndropdown-tab-background: #665c54\ndropzone-background: #98971a\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #d3869b\nexternal-link-foreground: #8ec07c\nforeground: #fbf1c7\nmenubar-background: #504945\nmenubar-foreground: <<colour foreground>>\nmessage-background: #83a598\nmessage-border: #83a598\nmessage-foreground: #3c3836\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #504945\nmodal-footer-background: #3c3836\nmodal-footer-border: #3c3836\nmodal-header-border: #3c3836\nmuted-foreground: #d5c4a1\nnotification-background: <<colour primary>>\nnotification-border: <<colour primary>>\npage-background: #282828\npre-background: #504945\npre-border: #504945\nprimary: #d79921\nselect-tag-background: #665c54\nselect-tag-foreground: <<colour foreground>>\nselection-background: #458588\nselection-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour page-background>>\nsidebar-controls-foreground-hover: #7c6f64\nsidebar-controls-foreground: #504945\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #fbf1c7\nsidebar-muted-foreground-hover: #7c6f64\nsidebar-muted-foreground: #504945\nsidebar-tab-background-selected: #bdae93\nsidebar-tab-background: #3c3836\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #bdae93\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #282828\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #458588\nsidebar-tiddler-link-foreground: #98971a\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ebdbb2\ntab-background: #665c54\ntab-border-selected: #665c54\ntab-border: #665c54\ntab-divider: #bdae93\ntab-foreground-selected: #282828\ntab-foreground: #ebdbb2\ntable-border: #7c6f64\ntable-footer-background: #665c54\ntable-header-background: #504945\ntag-background: #d3869b\ntag-foreground: #282828\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #7c6f64\ntiddler-controls-foreground-selected: <<colour primary>>\ntiddler-controls-foreground: #665c54\ntiddler-editor-background: #32302f\ntiddler-editor-border-image: #282828\ntiddler-editor-border: #282828\ntiddler-editor-fields-even: #504945\ntiddler-editor-fields-odd: #7c6f64\ntiddler-info-background: #32302f\ntiddler-info-border: #ebdbb2\ntiddler-info-tab-background: #ebdbb2\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #7c6f64\ntiddler-title-foreground: #a89984\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #504945\nvery-muted-foreground: #bdae93\nwikilist-background: <<colour page-background>>\nwikilist-button-background: #acacac\nwikilist-button-foreground: <<colour button-foreground>>\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: <<colour muted-foreground>>\nwikilist-button-open-hover: <<colour primary>>\nwikilist-button-open: <<colour dropzone-background>>\nwikilist-button-remove: <<colour dirty-indicator>>\nwikilist-button-remove-hover: <<colour alert-background>>\nwikilist-droplink-dragover: <<colour dropzone-background>>\nwikilist-button-reveal: <<colour sidebar-tiddler-link-foreground-hover>>\nwikilist-button-reveal-hover: <<colour message-background>>\n"
},
"$:/palettes/Nord": {
"title": "$:/palettes/Nord",
"name": "Nord",
"description": "An arctic, north-bluish color palette.",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "MIT, arcticicestudio, https://github.com/arcticicestudio/nord/blob/develop/LICENSE.md",
"text": "alert-background: #D08770\nalert-border: #D08770\nalert-highlight: #B48EAD\nalert-muted-foreground: #4C566A\nbackground: #3b4252\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour page-background>>\ncode-background: #2E3440\ncode-border: #2E3440\ncode-foreground: #BF616A\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #A3BE8C\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #BF616A\ndownload-background: #A3BE8C\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ECEFF4\ndropdown-tab-background: #4C566A\ndropzone-background: #A3BE8C\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #5E81AC\nexternal-link-foreground: #8FBCBB\nforeground: #d8dee9\nmenubar-background: #2E3440\nmenubar-foreground: #d8dee9\nmessage-background: #2E3440\nmessage-border: #2E3440\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #3b4252\nmodal-footer-background: #3b4252\nmodal-footer-border: #3b4252\nmodal-header-border: #3b4252\nmuted-foreground: #4C566A\nnotification-background: <<colour primary>>\nnotification-border: #EBCB8B\npage-background: #2e3440\npre-background: #2E3440\npre-border: #2E3440\nprimary: #5E81AC\nselect-tag-background: #3b4252\nselect-tag-foreground: <<colour foreground>>\nselection-background: #5E81AC\nselection-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour page-background>>\nsidebar-controls-foreground-hover: #D8DEE9\nsidebar-controls-foreground: #4C566A\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #D8DEE9\nsidebar-muted-foreground-hover: #4C566A\nsidebar-muted-foreground: #4C566A\nsidebar-tab-background-selected: #ECEFF4\nsidebar-tab-background: #4C566A\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #4C566A\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #4C566A\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #A3BE8C\nsidebar-tiddler-link-foreground: #81A1C1\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ECEFF4\ntab-background: #4C566A\ntab-border-selected: #4C566A\ntab-border: #4C566A\ntab-divider: #4C566A\ntab-foreground-selected: #4C566A\ntab-foreground: #D8DEE9\ntable-border: #4C566A\ntable-footer-background: #2e3440\ntable-header-background: #2e3440\ntag-background: #A3BE8C\ntag-foreground: #4C566A\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: \ntiddler-controls-foreground-selected: #EBCB8B\ntiddler-controls-foreground: #4C566A\ntiddler-editor-background: #2e3440\ntiddler-editor-border-image: #2e3440\ntiddler-editor-border: #3b4252\ntiddler-editor-fields-even: #2e3440\ntiddler-editor-fields-odd: #2e3440\ntiddler-info-background: #2e3440\ntiddler-info-border: #2e3440\ntiddler-info-tab-background: #2e3440\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #4C566A\ntiddler-title-foreground: #81A1C1\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #2d3038\nvery-muted-foreground: #2d3038\nwikilist-background: <<colour page-background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-item: <<colour background>>\nwikilist-title: <<colour foreground>>\nwikilist-info: <<colour muted-foreground>>\nwikilist-button-open: #A3BE8C\nwikilist-button-open-hover: #A3BE8C\nwikilist-button-reveal: #81A1C1\nwikilist-button-reveal-hover: #81A1C1\nwikilist-button-remove: #B48EAD\nwikilist-button-remove-hover: #B48EAD\n"
},
"$:/palettes/Rocker": {
"title": "$:/palettes/Rocker",
"name": "Rocker",
"description": "A dark theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarFlare": {
"title": "$:/palettes/SolarFlare",
"name": "Solar Flare",
"description": "Warm, relaxing earth colours",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n download-foreground: <<colour background>>\n dragger-foreground: <<colour background>>\n dropdown-background: <<colour background>>\n modal-background: <<colour background>>\n sidebar-foreground-shadow: <<colour background>>\n tiddler-background: <<colour background>>\n tiddler-border: <<colour background>>\n tiddler-link-background: <<colour background>>\n tab-background-selected: <<colour background>>\n dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n dragger-background: <<colour foreground>>\n tab-foreground: <<colour foreground>>\n tab-foreground-selected: <<colour tab-foreground>>\n sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n sidebar-tab-foreground: <<colour tab-foreground>>\n sidebar-button-foreground: <<colour foreground>>\n sidebar-controls-foreground: <<colour foreground>>\n sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n alert-muted-foreground: <<colour base01>>\n: base00\n code-foreground: <<colour base00>>\n message-foreground: <<colour base00>>\n tag-foreground: <<colour base00>>\n: base0\n sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n muted-foreground: <<colour base1>>\n blockquote-bar: <<colour muted-foreground>>\n dropdown-border: <<colour muted-foreground>>\n sidebar-muted-foreground: <<colour muted-foreground>>\n tiddler-title-foreground: <<colour muted-foreground>>\n site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n modal-footer-background: <<colour base2>>\n page-background: <<colour base2>>\n modal-backdrop: <<colour page-background>>\n notification-background: <<colour page-background>>\n code-background: <<colour page-background>>\n code-border: <<colour code-background>>\n pre-background: <<colour page-background>>\n pre-border: <<colour pre-background>>\n sidebar-tab-background-selected: <<colour page-background>>\n table-header-background: <<colour base2>>\n tag-background: <<colour base2>>\n tiddler-editor-background: <<colour base2>>\n tiddler-info-background: <<colour base2>>\n tiddler-info-tab-background: <<colour base2>>\n tab-background: <<colour base2>>\n dropdown-tab-background: <<colour tab-background>>\n: base3\n alert-background: <<colour base3>>\n message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n alert-highlight: <<colour magenta>>\n: violet\n external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n primary: <<colour blue-muted>>\n download-background: <<colour primary>>\n tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nselect-tag-background:\nselect-tag-foreground:\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n modal-footer-border: <<colour tab-border>>\n modal-header-border: <<colour tab-border>>\n notification-border: <<colour tab-border>>\n sidebar-tab-border: <<colour tab-border>>\n tab-border-selected: <<colour tab-border>>\n sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarizedDark": {
"title": "$:/palettes/SolarizedDark",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Precision dark colors for machines and people",
"license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
"name": "SolarizedDark",
"text": "alert-background: #073642\nalert-border: #93a1a1\nalert-highlight: #d33682\nalert-muted-foreground: #d33682\nbackground: #073642\nblockquote-bar: #d33682\nbutton-background: #073642\nbutton-border: #586e75\nbutton-foreground: #93a1a1\ncode-background: #073642\ncode-border: #586e75\ncode-foreground: #93a1a1\ndirty-indicator: inherit\ndownload-background: #859900\ndownload-foreground: #073642\ndragger-background: #073642\ndragger-foreground: #839496\ndropdown-background: #073642\ndropdown-border: #93a1a1\ndropdown-tab-background: #002b36\ndropdown-tab-background-selected: #073642\ndropzone-background: #859900\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: #268bd2\nexternal-link-foreground-hover:\nexternal-link-foreground-visited: #268bd2\nforeground: #839496\nmessage-background: #002b36\nmessage-border: #586e75\nmessage-foreground: #839496\nmodal-backdrop: #657b83\nmodal-background: #002b36\nmodal-border: #586e75\nmodal-footer-background: #073642\nmodal-footer-border: #586e75\nmodal-header-border: #586e75\nmuted-foreground: #93a1a1\nnotification-background: #002b36\nnotification-border: #586e75\npage-background: #073642\npre-background: inherit\npre-border: #657b83\nprimary: #859900\nselect-tag-background: #002b36\nselect-tag-foreground: #839496\nsidebar-button-foreground: #93a1a1\nsidebar-controls-foreground: #93a1a1\nsidebar-controls-foreground-hover: #eee8d5\nsidebar-foreground: #93a1a1\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: #839496\nsidebar-muted-foreground-hover: #93a1a1\nsidebar-tab-background: #002b36\nsidebar-tab-background-selected: #073642\nsidebar-tab-border: #073642\nsidebar-tab-border-selected: #839496\nsidebar-tab-divider: #002b36\nsidebar-tab-foreground: #657b83\nsidebar-tab-foreground-selected: #93a1a1\nsidebar-tiddler-link-foreground: #2aa198\nsidebar-tiddler-link-foreground-hover: #eee8d5\nsite-title-foreground: #d33682\nstatic-alert-foreground: #93a1a1\ntab-background: #073642\ntab-background-selected: #002b36\ntab-border: #586e75\ntab-border-selected: #93a1a1\ntab-divider: #93a1a1\ntab-foreground: #839496\ntab-foreground-selected: #93a1a1\ntable-border: #586e75\ntable-footer-background: #073642\ntable-header-background: #073642\ntag-background: #b58900\ntag-foreground: #002b36\ntiddler-background: #002b36\ntiddler-border: #586e75\ntiddler-controls-foreground: inherit\ntiddler-controls-foreground-hover: #d33682\ntiddler-controls-foreground-selected: #2aa198\ntiddler-editor-background: #002b36\ntiddler-editor-border: #073642\ntiddler-editor-border-image: #002b36\ntiddler-editor-fields-even: #002b36\ntiddler-editor-fields-odd: #073642\ntiddler-info-background: #073642\ntiddler-info-border: #657b83\ntiddler-info-tab-background: #002b36\ntiddler-link-background: #002b36\ntiddler-link-foreground: #2aa198\ntiddler-subtitle-foreground: #839496\ntiddler-title-foreground: #d33682\ntoolbar-cancel-button: #839496\ntoolbar-close-button: #839496\ntoolbar-delete-button: #dc322f\ntoolbar-done-button: #839496\ntoolbar-edit-button: #839496\ntoolbar-info-button: #839496\ntoolbar-new-button: #839496\ntoolbar-options-button: #839496\ntoolbar-save-button: inherit\nuntagged-background: #586e75\nvery-muted-foreground: #586e75\n"
},
"$:/palettes/SolarizedLight": {
"title": "$:/palettes/SolarizedLight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Precision colors for machines and people",
"license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
"name": "SolarizedLight",
"text": "alert-background: #eee8d5\nalert-border: #586e75\nalert-highlight: #d33682\nalert-muted-foreground: #d33682\nbackground: #eee8d5\nblockquote-bar: #d33682\nbutton-background: #eee8d5\nbutton-border: #93a1a1\nbutton-foreground: #586e75\ncode-background: #eee8d5\ncode-border: #93a1a1\ncode-foreground: #586e75\ndirty-indicator: inherit\ndownload-background: #859900\ndownload-foreground: #eee8d5\ndragger-background: #eee8d5\ndragger-foreground: #657b83\ndropdown-background: #eee8d5\ndropdown-border: #586e75\ndropdown-tab-background: #fdf6e3\ndropdown-tab-background-selected: #eee8d5\ndropzone-background: #859900\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: #268bd2\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #268bd2\nforeground: #657b83\nmessage-background: #fdf6e3\nmessage-border: #93a1a1\nmessage-foreground: #657b83\nmodal-backdrop: #839496\nmodal-background: #fdf6e3\nmodal-border: #93a1a1\nmodal-footer-background: #eee8d5\nmodal-footer-border: #93a1a1\nmodal-header-border: #93a1a1\nmuted-foreground: #586e75\nnotification-background: #fdf6e3\nnotification-border: #93a1a1\npage-background: #eee8d5\npre-background: #eee8d5\npre-border: #839496\nprimary: #859900\nselect-tag-background: #fdf6e3\nselect-tag-foreground: #657b83\nsidebar-button-foreground: #586e75\nsidebar-controls-foreground: #586e75\nsidebar-controls-foreground-hover: #d33682\nsidebar-foreground: #586e75\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: #657b83\nsidebar-muted-foreground-hover: #586e75\nsidebar-tab-background: #fdf6e3\nsidebar-tab-background-selected: #eee8d5\nsidebar-tab-border: #eee8d5\nsidebar-tab-border-selected: #657b83\nsidebar-tab-divider: #fdf6e3\nsidebar-tab-foreground: #839496\nsidebar-tab-foreground-selected: #586e75\nsidebar-tiddler-link-foreground: #2aa198\nsidebar-tiddler-link-foreground-hover: #002b36\nsite-title-foreground: #d33682\nstatic-alert-foreground: #586e75\ntab-background: #eee8d5\ntab-background-selected: #fdf6e3\ntab-border: #93a1a1\ntab-border-selected: #586e75\ntab-divider: #586e75\ntab-foreground: #657b83\ntab-foreground-selected: #586e75\ntable-border: #93a1a1\ntable-footer-background: #eee8d5\ntable-header-background: #eee8d5\ntag-background: #b58900\ntag-foreground: #fdf6e3\ntiddler-background: #fdf6e3\ntiddler-border: #93a1a1\ntiddler-controls-foreground: inherit\ntiddler-controls-foreground-hover: #d33682\ntiddler-controls-foreground-selected: #2aa198\ntiddler-editor-background: #fdf6e3\ntiddler-editor-border: #eee8d5\ntiddler-editor-border-image: #fdf6e3\ntiddler-editor-fields-even: #fdf6e3\ntiddler-editor-fields-odd: #eee8d5\ntiddler-info-background: #eee8d5\ntiddler-info-border: #839496\ntiddler-info-tab-background: #fdf6e3\ntiddler-link-background: #fdf6e3\ntiddler-link-foreground: #2aa198\ntiddler-subtitle-foreground: #657b83\ntiddler-title-foreground: #d33682\ntoolbar-cancel-button: #657b83\ntoolbar-close-button: #657b83\ntoolbar-delete-button: #dc322f\ntoolbar-done-button: #657b83\ntoolbar-edit-button: #657b83\ntoolbar-info-button: #657b83\ntoolbar-new-button: #657b83\ntoolbar-options-button: #657b83\ntoolbar-save-button: inherit\nuntagged-background: #586e75\nvery-muted-foreground: #93a1a1\n"
},
"$:/palettes/SpartanDay": {
"title": "$:/palettes/SpartanDay",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Cold, spartan day colors",
"name": "Spartan Day",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: #ececec\ncode-border: #ececec\ncode-foreground: \ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: \nexternal-link-foreground: \nforeground: rgba(0, 0, 0, 0.87)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #f4f4f4\npre-background: #ececec\npre-border: #ececec\nprimary: #3949ab\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #aeaeae\nsidebar-controls-foreground: #c6c6c6\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(0, 0, 0, 0.87)\nsidebar-tab-foreground: rgba(0, 0, 0, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #d8d8d8\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: #f9f9f9\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: #e8e7e7\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)\n"
},
"$:/palettes/SpartanNight": {
"title": "$:/palettes/SpartanNight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Dark spartan colors",
"name": "Spartan Night",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #7c318c\nexternal-link-foreground: #9e3eb3\nforeground: rgba(255, 255, 255, 0.7)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: #2a2a2a\npre-border: transparent\nprimary: #5656f3\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #494949\nsidebar-controls-foreground: #5d5d5d\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #3a3a3a\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: rgb(55,55,55)\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\n"
},
"$:/palettes/Twilight": {
"title": "$:/palettes/Twilight",
"tags": "$:/tags/Palette",
"author": "Thomas Elmiger",
"type": "application/x-tiddler-dictionary",
"name": "Twilight",
"description": "Delightful, soft darkness.",
"text": "alert-background: rgb(255, 255, 102)\nalert-border: rgb(232, 232, 125)\nalert-highlight: rgb(255, 51, 51)\nalert-muted-foreground: rgb(224, 82, 82)\nbackground: rgb(38, 38, 38)\nblockquote-bar: rgba(240, 196, 117, 0.7)\nbutton-background: rgb(63, 63, 63)\nbutton-border: rgb(127, 127, 127)\nbutton-foreground: rgb(179, 179, 179)\ncode-background: rgba(0,0,0,0.03)\ncode-border: rgba(0,0,0,0.08)\ncode-foreground: rgb(255, 94, 94)\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: rgb(255, 94, 94)\ndownload-background: #19a974\ndownload-foreground: rgb(38, 38, 38)\ndragger-background: rgb(179, 179, 179)\ndragger-foreground: rgb(38, 38, 38)\ndropdown-background: rgb(38, 38, 38)\ndropdown-border: rgb(255, 255, 255)\ndropdown-tab-background: rgba(0,0,0,.1)\ndropdown-tab-background-selected: rgba(255,255,255,1)\ndropzone-background: #9eebcf\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: rgb(179, 179, 255)\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: rgb(153, 153, 255)\nforeground: rgb(179, 179, 179)\nmessage-background: <<colour tag-foreground>>\nmessage-border: #96ccff\nmessage-foreground: <<colour tag-background>>\nmodal-backdrop: rgb(179, 179, 179)\nmodal-background: rgb(38, 38, 38)\nmodal-border: rgba(0,0,0,.5)\nmodal-footer-background: #f4f4f4\nmodal-footer-border: rgba(0,0,0,.1)\nmodal-header-border: rgba(0,0,0,.2)\nmuted-foreground: rgb(255, 255, 255)\nnotification-background: <<colour tag-foreground>>\nnotification-border: <<colour tag-background>>\npage-background: rgb(26, 26, 26)\npre-background: rgb(25, 25, 25)\npre-border: rgba(0,0,0,.2)\nprimary: rgb(255, 201, 102)\nselect-tag-background: \nselect-tag-foreground: \nsidebar-button-foreground: rgb(179, 179, 179)\nsidebar-controls-foreground: rgb(153, 153, 153)\nsidebar-controls-foreground-hover: <<colour tiddler-controls-foreground-hover>>\nsidebar-foreground: rgb(141, 141, 141)\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: rgba(0, 0, 0, 0.5)\nsidebar-muted-foreground-hover: rgb(141, 141, 141)\nsidebar-tab-background: rgba(141, 141, 141, 0.2)\nsidebar-tab-background-selected: rgb(26, 26, 26)\nsidebar-tab-border: rgb(127, 127, 127)\nsidebar-tab-border-selected: rgb(127, 127, 127)\nsidebar-tab-divider: rgb(127, 127, 127)\nsidebar-tab-foreground: rgb(179, 179, 179)\nsidebar-tab-foreground-selected: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground-hover: rgb(115, 115, 115)\nsite-title-foreground: rgb(255, 201, 102)\nstatic-alert-foreground: rgba(0,0,0,.3)\ntab-background: rgba(0,0,0,0.125)\ntab-background-selected: rgb(38, 38, 38)\ntab-border: rgb(255, 201, 102)\ntab-border-selected: rgb(255, 201, 102)\ntab-divider: rgb(255, 201, 102)\ntab-foreground: rgb(179, 179, 179)\ntab-foreground-selected: rgb(179, 179, 179)\ntable-border: rgba(255,255,255,.3)\ntable-footer-background: rgba(0,0,0,.4)\ntable-header-background: rgba(0,0,0,.1)\ntag-background: rgb(255, 201, 102)\ntag-foreground: rgb(25, 25, 25)\ntiddler-background: rgb(38, 38, 38)\ntiddler-border: rgba(240, 196, 117, 0.7)\ntiddler-controls-foreground: rgb(128, 128, 128)\ntiddler-controls-foreground-hover: rgba(255, 255, 255, 0.8)\ntiddler-controls-foreground-selected: rgba(255, 255, 255, 0.9)\ntiddler-editor-background: rgb(33, 33, 33)\ntiddler-editor-border: rgb(63, 63, 63)\ntiddler-editor-border-image: rgb(25, 25, 25)\ntiddler-editor-fields-even: rgb(33, 33, 33)\ntiddler-editor-fields-odd: rgb(28, 28, 28)\ntiddler-info-background: rgb(43, 43, 43)\ntiddler-info-border: rgb(25, 25, 25)\ntiddler-info-tab-background: rgb(43, 43, 43)\ntiddler-link-background: rgb(38, 38, 38)\ntiddler-link-foreground: rgb(204, 204, 255)\ntiddler-subtitle-foreground: rgb(255, 255, 255)\ntiddler-title-foreground: rgb(255, 192, 76)\ntoolbar-cancel-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-done-button: \ntoolbar-edit-button: \ntoolbar-info-button: \ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \nuntagged-background: rgb(255, 255, 255)\nvery-muted-foreground: rgba(240, 196, 117, 0.7)\n"
},
"$:/palettes/Vanilla": {
"title": "$:/palettes/Vanilla",
"name": "Vanilla",
"description": "Pale and unobtrusive",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselection-background:\nselection-foreground:\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\nwikilist-background: #e5e5e5\nwikilist-item: #fff\nwikilist-info: #000\nwikilist-title: #666\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #aaa\nwikilist-button-open: #4fb82b\nwikilist-button-open-hover: green\nwikilist-button-reveal: #5778d8\nwikilist-button-reveal-hover: blue\nwikilist-button-remove: #d85778\nwikilist-button-remove-hover: red\nwikilist-toolbar-background: #d3d3d3\nwikilist-toolbar-foreground: #888\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #acacac\nwikilist-button-foreground: #000\n"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
},
"$:/library/sjcl.js/license": {
"title": "$:/library/sjcl.js/license",
"type": "text/plain",
"text": "SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"
},
"$:/core/templates/MOTW.html": {
"title": "$:/core/templates/MOTW.html",
"text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com --> "
},
"$:/core/templates/alltiddlers.template.html": {
"title": "$:/core/templates/alltiddlers.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
},
"$:/core/templates/canonical-uri-external-image": {
"title": "$:/core/templates/canonical-uri-external-image",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-raw": {
"title": "$:/core/templates/canonical-uri-external-raw",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-text": {
"title": "$:/core/templates/canonical-uri-external-text",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
},
"$:/core/templates/css-tiddler": {
"title": "$:/core/templates/css-tiddler",
"text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
},
"$:/core/templates/exporters/CsvFile": {
"title": "$:/core/templates/exporters/CsvFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/CsvFile}}",
"extension": ".csv",
"text": "<$macrocall $name=\"csvtiddlers\" filter=<<exportFilter>> format=\"quoted-comma-sep\" $output=\"text/raw\"/>\n"
},
"$:/core/templates/exporters/JsonFile": {
"title": "$:/core/templates/exporters/JsonFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/JsonFile}}",
"extension": ".json",
"text": "<$macrocall $name=\"jsontiddlers\" filter=<<exportFilter>> $output=\"text/raw\"/>\n"
},
"$:/core/templates/exporters/StaticRiver": {
"title": "$:/core/templates/exporters/StaticRiver",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/StaticRiver}}",
"extension": ".html",
"text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river tc-static-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
},
"$:/core/templates/exporters/StaticRiver/Content": {
"title": "$:/core/templates/exporters/StaticRiver/Content",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>\n"
},
"$:/core/templates/exporters/TidFile": {
"title": "$:/core/templates/exporters/TidFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/TidFile}}",
"extension": ".tid",
"condition": "[<count>compare:lte[1]]",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>"
},
"$:/core/save/all-external-js": {
"title": "$:/core/save/all-external-js",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[prefix[$:/temp/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/core]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5-external-js.html}}\n"
},
"$:/core/templates/tiddlywiki5.js": {
"title": "$:/core/templates/tiddlywiki5.js",
"text": "\\rules only filteredtranscludeinline transcludeinline codeinline\n\n/*\n{{ $:/core/copyright.txt ||$:/core/templates/plain-text-tiddler}}\n`*/\n`<!--~~ Library modules ~~-->\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/plain-text-tiddler}}}\n<!--~~ Boot prefix ~~-->\n{{ $:/boot/bootprefix.js ||$:/core/templates/plain-text-tiddler}}\n<!--~~ Core plugin ~~-->\n{{$:/core/templates/tiddlywiki5.js/tiddlers}}\n<!--~~ Boot kernel ~~-->\n{{ $:/boot/boot.js ||$:/core/templates/plain-text-tiddler}}\n"
},
"$:/core/templates/tiddlywiki5.js/tiddlers": {
"title": "$:/core/templates/tiddlywiki5.js/tiddlers",
"text": "`\n$tw.preloadTiddlerArray(`<$text text=<<jsontiddlers \"[[$:/core]]\">>/>`);\n`\n"
},
"$:/core/templates/tiddlywiki5-external-js.html": {
"title": "$:/core/templates/tiddlywiki5-external-js.html",
"text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Raw markup for the bottom of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}\n</body>\n<script src=\"%24%3A%2Fcore%2Ftemplates%2Ftiddlywiki5.js\" onerror=\"alert('Error: Cannot load tiddlywiki.js');\"></script>\n</html>\n"
},
"$:/core/templates/html-div-skinny-tiddler": {
"title": "$:/core/templates/html-div-skinny-tiddler",
"text": "<!--\n\nThis template is a variant of $:/core/templates/html-div-tiddler used for saving skinny tiddlers (with no text field)\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre></pre>\n</div>`\n"
},
"$:/core/templates/html-div-tiddler": {
"title": "$:/core/templates/html-div-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
},
"$:/core/templates/html-tiddler": {
"title": "$:/core/templates/html-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
},
"$:/core/templates/javascript-tiddler": {
"title": "$:/core/templates/javascript-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
},
"$:/core/templates/json-tiddler": {
"title": "$:/core/templates/json-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"
},
"$:/core/templates/module-tiddler": {
"title": "$:/core/templates/module-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
},
"$:/core/templates/plain-text-tiddler": {
"title": "$:/core/templates/plain-text-tiddler",
"text": "<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/raw-static-tiddler": {
"title": "$:/core/templates/raw-static-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"
},
"$:/core/save/all": {
"title": "$:/core/save/all",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[prefix[$:/temp/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/empty": {
"title": "$:/core/save/empty",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-all": {
"title": "$:/core/save/lazy-all",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-images": {
"title": "$:/core/save/lazy-images",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[is[image]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/templates/server/static.sidebar.wikitext": {
"title": "$:/core/templates/server/static.sidebar.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-sidebar-scrollable\" style=\"overflow: auto;\">\n<div class=\"tc-sidebar-header\">\n<h1 class=\"tc-site-title\">\n<$transclude tiddler=\"$:/SiteTitle\"/>\n</h1>\n<div class=\"tc-site-subtitle\">\n<$transclude tiddler=\"$:/SiteSubtitle\"/>\n</div>\n<h2>\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$list filter={{$:/DefaultTiddlers}}>\n<div class=\"tc-menu-list-subitem\">\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n</$list>\n</div>\n<!-- Currently disabled the recent list as it is unweildy when the responsive narrow view kicks in\n<h2>\n{{$:/language/SideBar/Recent/Caption}}\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n</div>\n</div>\n</div>\n-->\n"
},
"$:/core/templates/server/static.tiddler.html": {
"title": "$:/core/templates/server/static.tiddler.html",
"text": "\\whitespace trim\n\\define tv-wikilink-template() $uri_encoded$\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content={{$:/core/templates/version}} />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"%24%3A%2Fcore%2Ftemplates%2Fstatic.template.css\">\n<title><$view field=\"caption\" format=\"plainwikified\"><$view field=\"title\"/></$view>: <$view tiddler=\"$:/core/wiki/title\" format=\"plainwikified\"/></title>\n</head>\n<body class=\"tc-body\">\n<$transclude tiddler=\"$:/core/templates/server/static.sidebar.wikitext\" mode=\"inline\"/>\n<section class=\"tc-story-river\">\n<div class=\"tc-tiddler-frame\">\n<$transclude tiddler=\"$:/core/templates/server/static.tiddler.wikitext\" mode=\"inline\"/>\n</div>\n</section>\n</body>\n</html>"
},
"$:/core/templates/server/static.tiddler.wikitext": {
"title": "$:/core/templates/server/static.tiddler.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<h2><$text text=<<currentTiddler>>/></h2>\n</div>\n</div>\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n<div class=\"tc-tags-wrapper\">\n<$list filter=\"[all[current]tags[]sort[title]]\">\n<a href={{{ [<currentTiddler>encodeuricomponent[]] }}}>\n<$macrocall $name=\"tag-pill\" tag=<<currentTiddler>>/>\n</a>\n</$list>\n</div>\n<div class=\"tc-tiddler-body\">\n<$transclude mode=\"block\"/>\n</div>\n"
},
"$:/core/templates/single.tiddler.window": {
"title": "$:/core/templates/single.tiddler.window",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$vars\n\ttv-config-toolbar-icons={{$:/config/Toolbar/Icons}}\n\ttv-config-toolbar-text={{$:/config/Toolbar/Text}}\n\ttv-config-toolbar-class={{$:/config/Toolbar/ButtonClass}}\n\ttv-show-missing-links={{$:/config/MissingLinks}}\n\tstoryviewTitle={{$:/view}}\n\tlanguageTitle={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</div>\n\n</$vars>\n"
},
"$:/core/templates/split-recipe": {
"title": "$:/core/templates/split-recipe",
"text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
},
"$:/core/templates/static-tiddler": {
"title": "$:/core/templates/static-tiddler",
"text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
},
"$:/core/templates/static.area": {
"title": "$:/core/templates/static.area",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n<!-- ensure splash screen isn't shown when JS is disabled -->\n`<style>\n.tc-remove-when-wiki-loaded {display: none;}\n</style>`\n"
},
"$:/core/templates/static.content": {
"title": "$:/core/templates/static.content",
"text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
},
"$:/core/templates/static.template.css": {
"title": "$:/core/templates/static.template.css",
"text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
},
"$:/core/templates/static.template.html": {
"title": "$:/core/templates/static.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
},
"$:/core/templates/static.tiddler.html": {
"title": "$:/core/templates/static.tiddler.html",
"text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river tc-static-story-river\">\n`<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>`\n</section>\n</body>\n</html>\n`\n"
},
"$:/core/templates/store.area.template.html": {
"title": "$:/core/templates/store.area.template.html",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n<$list filter={{{ [<skinnySaveTiddlerFilter>] }}} template=\"$:/core/templates/html-div-skinny-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
},
"$:/core/templates/tid-tiddler": {
"title": "$:/core/templates/tid-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/tiddler-metadata": {
"title": "$:/core/templates/tiddler-metadata",
"text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
},
"$:/core/templates/tiddlywiki5.html": {
"title": "$:/core/templates/tiddlywiki5.html",
"text": "<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}`\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n`{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n`{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n</body>\n</html>`\n"
},
"$:/core/templates/version": {
"title": "$:/core/templates/version",
"text": "<<version>>"
},
"$:/core/templates/wikified-tiddler": {
"title": "$:/core/templates/wikified-tiddler",
"text": "<$transclude />"
},
"$:/core/ui/AboveStory/tw2-plugin-check": {
"title": "$:/core/ui/AboveStory/tw2-plugin-check",
"tags": "$:/tags/AboveStory",
"text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/Actions/new-image": {
"title": "$:/core/ui/Actions/new-image",
"tags": "$:/tags/Actions",
"description": "create a new image tiddler",
"text": "\\define get-type()\nimage/$(imageType)$\n\\end\n\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n<$vars imageType={{$:/config/NewImageType}} textFieldTags={{$:/config/NewJournal/Tags}} tagsFieldTags={{$:/config/NewJournal/Tags!!tags}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=<<get-type>> tags=<<get-tags>>/>\n</$vars>\n"
},
"$:/core/ui/Actions/new-journal": {
"title": "$:/core/ui/Actions/new-journal",
"tags": "$:/tags/Actions",
"description": "create a new journal tiddler",
"text": "\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} textFieldTags={{$:/config/NewJournal/Tags}} tagsFieldTags={{$:/config/NewJournal/Tags!!tags}} journalText={{$:/config/NewJournal/Text}}>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$reveal type=\"nomatch\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<get-tags>> text={{{ [<journalTitle>get[]] }}}/>\n</$reveal>\n<$reveal type=\"match\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<get-tags>> text=<<journalText>>/>\n</$reveal>\n</$wikify>\n</$vars>\n"
},
"$:/core/ui/Actions/new-tiddler": {
"title": "$:/core/ui/Actions/new-tiddler",
"tags": "$:/tags/Actions",
"description": "create a new empty tiddler",
"text": "\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n<$vars textFieldTags={{$:/config/NewTiddler/Tags}} tagsFieldTags={{$:/config/NewTiddler/Tags!!tags}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<get-tags>>/>\n</$vars>\n"
},
"$:/core/ui/AdvancedSearch/Filter": {
"title": "$:/core/ui/AdvancedSearch/Filter",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Filter/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch/input}!match{$:/temp/advancedsearch}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\" \n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\" type=\"search\" \n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} configTiddlerFilter=\"[[$:/temp/advancedsearch]]\" firstSearchFilterField=\"text\" \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> \n\t\tinputCancelActions=<<cancel-search-actions>>/>\n</$keyboard>\n</$keyboard>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}}>\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</div>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nAre you sure you wish to delete <<resultCount>> tiddler(s)?\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\nDelete these tiddlers\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text=<<navigateTo>>/><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text=<<navigateTo>>/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/><$action-sendmessage $message=\"tm-focus-selector\" $param='.tc-advanced-search input' />\"\"\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/export": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Shadows": {
"title": "$:/core/ui/AdvancedSearch/Shadows",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Shadows/Caption}}",
"first-search-filter": "[all[shadows]search<userInput>sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]",
"text": "\\define lingo-base() $:/language/Search/\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\"/>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\"\n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\" type=\"search\"\n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} configTiddlerFilter=\"[[$:/core/ui/AdvancedSearch/Shadows]]\"\n\t\tinputCancelActions=<<cancel-search-actions>> inputAcceptActions=<<input-accept-actions>> \n\t\tinputAcceptVariantActions=<<input-accept-variant-actions>> filterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]\">\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Standard": {
"title": "$:/core/ui/AdvancedSearch/Standard",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Standard/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define next-search-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/advancedsearch\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/standard/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\"/>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$keyboard key=\"shift-alt-Right\" actions=<<next-search-tab>>>\n<$keyboard key=\"shift-alt-Left\" actions=<<next-search-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\"\n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\" type=\"search\"\n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} inputCancelActions=<<cancel-search-actions>> \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> \n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\"\n\t\tfilterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$vars userInput={{{ [[$:/temp/advancedsearch]get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}} searchListState=\"$:/temp/advancedsearch/selected-item\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/standard/currentTab\" text=<<currentTab>>/>\"\"\" explicitState=\"$:/state/tab/search-results/advancedsearch\" />\n</$list>\n</$vars>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/System": {
"title": "$:/core/ui/AdvancedSearch/System",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/System/Caption}}",
"first-search-filter": "[is[system]search<userInput>sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]",
"text": "\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\",stateTitle,tag,defaultState,currentTabTiddler) <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\"/>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\"\n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\"\n\t\ttype=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} configTiddlerFilter=\"[[$:/core/ui/AdvancedSearch/System]]\"\n\t\tinputCancelActions=<<cancel-search-actions>> inputAcceptActions=<<input-accept-actions>> \n\t\tinputAcceptVariantActions=<<input-accept-variant-actions>> filterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]\">\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/AdvancedSearch": {
"title": "$:/AdvancedSearch",
"icon": "$:/core/images/advanced-search-button",
"color": "#bbb",
"text": "<div class=\"tc-advanced-search\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" default=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<currentTab>>/>\"\"\" explicitState=\"$:/state/tab--1498284803\"/>\n</div>\n"
},
"$:/core/ui/AlertTemplate": {
"title": "$:/core/ui/AlertTemplate",
"text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/cancel-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$wikify name=\"format\" text=<<lingo Tiddler/DateFormat>>>\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=<<format>>/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">({{$:/language/Count}}: <$view field=\"count\"/>)</span></$reveal>\n</$wikify>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
},
"$:/core/ui/BinaryWarning": {
"title": "$:/core/ui/BinaryWarning",
"text": "\\define lingo-base() $:/language/BinaryWarning/\n<<lingo Prompt>>\n"
},
"$:/core/ui/Components/plugin-info": {
"title": "$:/core/ui/Components/plugin-info",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1>\n''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'': <$view field=\"description\"><$view field=\"title\"/></$view> $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n</$set>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"
},
"$:/core/ui/Components/tag-link": {
"title": "$:/core/ui/Components/tag-link",
"text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
},
"$:/core/ui/ControlPanel/Advanced": {
"title": "$:/core/ui/ControlPanel/Advanced",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
"text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/TiddlerFields\" explicitState=\"$:/state/tab--959111941\"/>\n</div>\n"
},
"$:/core/ui/ControlPanel/Appearance": {
"title": "$:/core/ui/ControlPanel/Appearance",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
"text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Theme\" explicitState=\"$:/state/tab--1963855381\"/>\n</div>\n"
},
"$:/core/ui/ControlPanel/Basics": {
"title": "$:/core/ui/ControlPanel/Basics",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Basics/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-advanced-search input\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\" class=\"tc-edit-texteditor\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/language/DefaultNewTiddlerTitle\"><<lingo NewTiddler/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/language/DefaultNewTiddlerTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" tag=\"textarea\" class=\"tc-edit-texteditor\" default=\"\"/> |\n|<$link to=\"$:/config/NewTiddler/Tags\"><<lingo NewTiddler/Tags/Prompt>></$link> |<$vars currentTiddler=\"$:/config/NewTiddler/Tags\" tagField=\"text\">{{||$:/core/ui/EditTemplate/tags}}<$list filter=\"[<currentTiddler>tags[]] +[limit[1]]\" variable=\"ignore\"><$button tooltip={{$:/language/ControlPanel/Basics/RemoveTags/Hint}}><<lingo RemoveTags>><$action-listops $tiddler=<<currentTiddler>> $field=\"text\" $subfilter={{{ [<currentTiddler>get[tags]] }}}/><$action-setfield $tiddler=<<currentTiddler>> tags=\"\"/></$button></$list></$vars> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$vars currentTiddler=\"$:/config/NewJournal/Tags\" tagField=\"text\">{{||$:/core/ui/EditTemplate/tags}}<$list filter=\"[<currentTiddler>tags[]] +[limit[1]]\" variable=\"ignore\"><$button tooltip={{$:/language/ControlPanel/Basics/RemoveTags/Hint}}><<lingo RemoveTags>><$action-listops $tiddler=<<currentTiddler>> $field=\"text\" $subfilter={{{ [<currentTiddler>get[tags]] }}}/><$action-setfield $tiddler=<<currentTiddler>> tags=\"\"/></$button></$list></$vars> |\n|<$link to=\"$:/config/AutoFocus\"><<lingo AutoFocus/Prompt>></$link> |{{$:/snippets/minifocusswitcher}} |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
},
"$:/core/ui/ControlPanel/EditorTypes": {
"title": "$:/core/ui/ControlPanel/EditorTypes",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/Info": {
"title": "$:/core/ui/ControlPanel/Info",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Info/Caption}}",
"text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Basics\" explicitState=\"$:/state/tab--2112689675\"/>\n</div>\n"
},
"$:/core/ui/ControlPanel/KeyboardShortcuts": {
"title": "$:/core/ui/ControlPanel/KeyboardShortcuts",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} focus=\"true\" style=\"width:auto;\"/> <$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list filter=\"[list[$(shortcutTitle)$!!text]sort[title]]\" variable=\"shortcut\" emptyMessage=\"\"\"\n<div class=\"tc-dropdown-item-plain\">\n//<<lingo NoShortcuts/Caption>>//\n</div>\n\"\"\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint}}>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n<small>{{$:/core/images/close-button}}</small>\n</$button>\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n<tr>\n<$list filter=\"[[$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">>\n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>match[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/LoadedModules": {
"title": "$:/core/ui/ControlPanel/LoadedModules",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
},
"$:/core/ui/ControlPanel/Modals/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
"subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
"text": "\\define install-plugin-actions()\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$set name=\"url\" value={{!!url}}>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[name]]\" variable=\"dependency\">\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url=<<url>> title=<<dependency>>/>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define install-plugin-button()\n<div>\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$set name=\"reinstall-type\" value={{{ [<libraryVersion>compare:version:eq<installedVersion>then[tc-reinstall]] [<libraryVersion>compare:version:gt<installedVersion>then[tc-reinstall-upgrade]] [<libraryVersion>compare:version:lt<installedVersion>then[tc-reinstall-downgrade]] }}}>\n<$button actions=<<install-plugin-actions>> class={{{ [<assetInfo>get[original-title]has[version]then<reinstall-type>] tc-btn-invisible tc-install-plugin +[join[ ]] }}}>\n{{$:/core/images/download-button}}\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\">\n<$list filter=\"[<libraryVersion>compare:version:gt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[<libraryVersion>compare:version:lt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}\">\n{{$:/language/ControlPanel/Plugins/Downgrade/Caption}}\n</$list>\n\"\"\">\n{{$:/language/ControlPanel/Plugins/Update/Caption}}\n</$list>\n</$list>\n</$button>\n<div>\n</div>\n<$reveal stateTitle=<<assetInfo>> stateField=\"requires-reload\" type=\"match\" text=\"yes\">{{$:/language/ControlPanel/Plugins/PluginWillRequireReload}}</$reveal>\n</$set>\n</$set>\n</$set>\n</div>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1><strong><$text text={{{ [<assetInfo>get[name]] ~[<assetInfo>get[original-title]split[/]last[1]] }}}/></strong>: <$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\"><div><em>{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}</em></div></$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-buttons\">\n<<install-plugin-button>>\n</div>\n</div>\n<$set name=\"original-title\" value={{{ [<assetInfo>get[original-title]] }}}>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]] ~[<assetInfo>get[original-title]!is[tiddler]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]!is[tiddler]]\">\n{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\n</$list>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]]\" variable=\"ignore\">\n<div>\n{{$:/language/ControlPanel/Plugins/AlsoRequires}}\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[name]]\" variable=\"dependency\">\n<$text text=<<dependency>>/>\n</$list>\n</div>\n</$list>\n</$set>\n</div>\n</$list>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-sub-plugins\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>sort[name]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n</$list>\n</div>\n</$reveal>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<$reveal type=\"nomatch\" text=\"yes\" state=<<popup-state>> tag=\"div\" class=\"tc-plugin-info-sub-plugin-indicator\">\n<$wikify name=\"count\" text=\"\"\"<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>]\"/>\"\"\">\n<$button class=\"tc-btn-invisible\" set=<<popup-state>> setTo=\"yes\">\n{{$:/language/ControlPanel/Plugins/SubPluginPrompt}}\n</$button>\n</$wikify>\n</$reveal>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$list filter=\"[<currentTiddler>get[enabled]else[yes]match[yes]]\" variable=\"ignore\">\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n</$list>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search:author,description,original-title,readme,title{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[name]]\" variable=\"assetInfo\">\n<$list filter=\"[[$:/temp/RemoteAssetSearch/$(currentTiddler)$]has[text]] ~[<assetInfo>!has[parent-plugin]]\" variable=\"ignore\"><!-- Hide sub-plugins if we're not searching -->\n<<display-plugin-info \"$type$\">>\n</$list>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<$set name=\"transclusion\" value=<<connectionTiddler>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Updates]] [[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$set>\n\n</$list>\n\\end\n\n\\define close-library-button()\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}} {{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n<div class=\"tc-tab-set\">\n<$set name=\"defaultTab\" value={{{ [all[tiddlers+shadows]tag[$:/tags/PluginLibrary]] }}}>\n<div class=\"tc-tab-buttons\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$button set=<<qualify \"$:/state/addplugins/tab\">> setTo=<<currentTiddler>> default=<<defaultTab>> selectedClass=\"tc-tab-selected\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\"/>\n</$set>\n</$button>\n</$list>\n</div>\n<div class=\"tc-tab-divider\"/>\n<div class=\"tc-tab-content\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$reveal type=\"match\" state=<<qualify \"$:/state/addplugins/tab\">> text=<<currentTiddler>> default=<<defaultTab>>>\n<h2><$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link></h2>\n//<$view field=\"url\"/>//\n<$transclude mode=\"block\"/>\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n<<display-server-connection>>\n</$reveal>\n</$list>\n</div>\n</$set>\n</div>\n\\end\n\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<div>\n<<plugin-library-listing>>\n</div>\n"
},
"$:/core/ui/ControlPanel/Palette": {
"title": "$:/core/ui/ControlPanel/Palette",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Palette/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/PaletteManager}}\n\n</$reveal>\n\n"
},
"$:/core/ui/ControlPanel/Parsing": {
"title": "$:/core/ui/ControlPanel/Parsing",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<<rule>>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"
},
"$:/core/ui/ControlPanel/Plugins/Add/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
"text": "<<display-server-assets language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
"text": "<<display-server-assets plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
"text": "<<display-server-assets theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Updates": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Updates",
"caption": "<$importvariables filter=\"$:/core/ui/ControlPanel/Plugins/Add/Updates\">{{$:/language/ControlPanel/Plugins/Updates/Caption}} (<<update-count>>)</$importvariables>",
"text": "\\define each-updateable-plugin(body)\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}sort[title]]\" variable=\"assetInfo\">\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$list filter=\"[<assetInfo>get[original-title]has[version]!version<libraryVersion>]\" variable=\"ignore\">\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$list filter=\"[<installedversion>!match<libraryVersion>]\" variable=\"ignore\">\n$body$\n</$list>\n</$set>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define update-all-actions()\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<<install-plugin-actions>>\n\"\"\"/>\n\\end\n\n\\define update-count()\n<$wikify name=\"count-filter\" text=<<each-updateable-plugin \"[[<$text text=<<assetInfo>>/>]]\">>><$count filter=<<count-filter>>/></$wikify>\n\\end\n\n<$button actions=<<update-all-actions>> class=\"tc-btn-invisible tc-install-plugin tc-reinstall-upgrade\">\n{{$:/core/images/download-button}} {{||$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption}}\n</$button>\n\n<div class=\"tc-plugin-library-listing\">\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<$macrocall $name=\"display-plugin-info\" type={{{ [<assetInfo>get[original-plugin-type]] }}}/>\n\"\"\"/>\n</div>\n"
},
"$:/core/ui/ControlPanel/Plugins/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green tc-primary-btn\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
"text": "<<plugin-table language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
"text": "<<plugin-table plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
"text": "<<plugin-table theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[name]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<$macrocall $name=\"tabs\" tabsList=\"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" default=\"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\" explicitState=\"$:/state/tab--86143343\"/>\n"
},
"$:/core/ui/ControlPanel/Saving/DownloadSaver": {
"title": "$:/core/ui/ControlPanel/Saving/DownloadSaver",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Saving/General": {
"title": "$:/core/ui/ControlPanel/Saving/General",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/General/Caption}}",
"list-before": "",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Saving/GitHub": {
"title": "$:/core/ui/ControlPanel/Saving/GitHub",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitHub/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitHub\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitHub/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitHub/Password>> |<$password name=\"github\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitHub/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitHub/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitHub/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitHub/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitHub/ServerURL\" default=\"https://api.github.com\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/GitLab": {
"title": "$:/core/ui/ControlPanel/Saving/GitLab",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitLab/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitLab\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitLab/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitLab/Password>> |<$password name=\"gitlab\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitLab/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitLab/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitLab/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitLab/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitLab/ServerURL\" default=\"https://gitlab.com/api/v4\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/TiddlySpot": {
"title": "$:/core/ui/ControlPanel/Saving/TiddlySpot",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define siteURL(path)\nhttp://$(userName)$.tiddlyspot.com/$path$/\n\\end\n\\define siteLink(path)\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<siteURL $path$>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<div class=\"tc-message-box\">\n\n<<lingo ReadOnly>>\n\n</div>\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n|<<lingo Backups>> |<<siteLink backup>> |\n|<<lingo ControlPanel>> |<<siteLink controlpanel>> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>\n"
},
"$:/core/ui/ControlPanel/Saving/Gitea": {
"title": "$:/core/ui/ControlPanel/Saving/Gitea",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/Gitea/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~Gitea\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/Gitea/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo Gitea/Password>> |<$password name=\"Gitea\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/Gitea/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/Gitea/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/Gitea/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/Gitea/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/Gitea/ServerURL\" default=\"https://gitea/api/v1\" tag=\"input\"/> |\n"
},
"$:/core/ui/ControlPanel/Saving": {
"title": "$:/core/ui/ControlPanel/Saving",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Saving/Caption}}",
"text": "{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Saving/General\" explicitState=\"$:/state/tab-2065006209\"/>\n</div>\n"
},
"$:/core/buttonstyles/Borderless": {
"title": "$:/core/buttonstyles/Borderless",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
"text": "tc-btn-invisible"
},
"$:/core/buttonstyles/Boxed": {
"title": "$:/core/buttonstyles/Boxed",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
"text": "tc-btn-boxed"
},
"$:/core/buttonstyles/Rounded": {
"title": "$:/core/buttonstyles/Rounded",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
"text": "tc-btn-rounded"
},
"$:/core/ui/ControlPanel/Settings/CamelCase": {
"title": "$:/core/ui/ControlPanel/Settings/CamelCase",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultMoreSidebarTab/\n\n<$link to=\"$:/config/DefaultMoreSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultMoreSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Settings/EditorToolbar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/InfoPanelMode": {
"title": "$:/core/ui/ControlPanel/Settings/InfoPanelMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
"title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n <option value=\"above\"><<lingo \"OpenAbove\">></option>\n <option value=\"below\"><<lingo \"OpenBelow\">></option>\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/MissingLinks": {
"title": "$:/core/ui/ControlPanel/Settings/MissingLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationHistory": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationPermalinkviewMode/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/CopyToClipboard\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/CopyToClipboard\"><<lingo CopyToClipboard/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\"><<lingo UpdateAddressBar/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
"title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/TitleLinks": {
"title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings": {
"title": "$:/core/ui/ControlPanel/Settings",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Settings/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ControlPanel/StoryView": {
"title": "$:/core/ui/ControlPanel/StoryView",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
"text": "{{$:/snippets/viewswitcher}}\n"
},
"$:/core/ui/ControlPanel/Stylesheets": {
"title": "$:/core/ui/ControlPanel/Stylesheets",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Stylesheets/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo Stylesheets/Hint>>\n\n{{$:/snippets/peek-stylesheets}}\n"
},
"$:/core/ui/ControlPanel/Theme": {
"title": "$:/core/ui/ControlPanel/Theme",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Theme/Caption}}",
"text": "{{$:/snippets/themeswitcher}}\n"
},
"$:/core/ui/ControlPanel/TiddlerFields": {
"title": "$:/core/ui/ControlPanel/TiddlerFields",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
},
"$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"
},
"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span> <$transclude field=\"caption\"/> -- <i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/ItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"> <$transclude field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude field=\"description\"/></i></span>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/PageControls": {
"title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars": {
"title": "$:/core/ui/ControlPanel/Toolbars",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
"text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" class=\"tc-vertical\" explicitState=\"$:/state/tabs/controlpanel/toolbars-1345989671\"/>\n</div>\n"
},
"$:/ControlPanel": {
"title": "$:/ControlPanel",
"icon": "$:/core/images/options-button",
"color": "#bbb",
"text": "<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Info\" explicitState=\"$:/state/tab-1749438307\"/>\n</div>\n"
},
"$:/core/ui/DefaultSearchResultList": {
"title": "$:/core/ui/DefaultSearchResultList",
"tags": "$:/tags/SearchResults",
"caption": "{{$:/language/Search/DefaultResults/Caption}}",
"first-search-filter": "[!is[system]search:title<userInput>sort[title]limit[250]]",
"second-search-filter": "[!is[system]search<userInput>sort[title]limit[250]]",
"text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[<userInput>minlength[1]]\" variable=\"ignore\">\n<$list filter={{{ [<configTiddler>get[first-search-filter]] }}}>\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[<searchListState>get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</$list>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[<userInput>minlength[1]]\" variable=\"ignore\">\n<$list filter={{{ [<configTiddler>get[second-search-filter]] }}}>\n<span class={{{[<currentTiddler>addsuffix[-secondaryList]] -[<searchListState>get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</$list>\n\n\\end\n<<searchResultList>>\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-current": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-current",
"tags": "$:/tags/EditPreview",
"caption": "differences from current",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-shadow": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-shadow",
"tags": "$:/tags/EditPreview",
"caption": "differences from shadow (if any)",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{{ [{!!draft.of}shadowsource[]] }}} sourceSubTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/output": {
"title": "$:/core/ui/EditTemplate/body/preview/output",
"tags": "$:/tags/EditPreview",
"caption": "{{$:/language/EditTemplate/Body/Preview/Type/Output}}",
"text": "\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n"
},
"$:/state/showeditpreview": {
"title": "$:/state/showeditpreview",
"text": "no"
},
"$:/core/ui/EditTemplate/body/editor": {
"title": "$:/core/ui/EditTemplate/body/editor",
"text": "<$edit\n\n field=\"text\"\n class=\"tc-edit-texteditor tc-edit-texteditor-body\"\n placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n tabindex={{$:/config/EditTabIndex}}\n focus={{{ [{$:/config/AutoFocus}match[text]then[true]] ~[[false]] }}}\n cancelPopups=\"yes\"\n\n><$set\n\n name=\"targetTiddler\"\n value=<<currentTiddler>>\n\n><$list\n\n filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n type=\"nomatch\"\n state=<<config-visibility-title>>\n text=\"hide\"\n class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n mode=\"inline\"\n\n/></$reveal></$list></$set></$edit>\n"
},
"$:/core/ui/EditTemplate/body/toolbar/button": {
"title": "$:/core/ui/EditTemplate/body/toolbar/button",
"text": "\\define toolbar-button-icon()\n<$list\n\n filter=\"[all[current]!has[custom-icon]]\"\n variable=\"no-custom-icon\"\n\n><$transclude\n\n tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n filter={{!!condition}}\n variable=\"list-condition\"\n\n><$wikify\n\n name=\"tooltip-text\"\n text=<<toolbar-button-tooltip>>\n mode=\"inline\"\n output=\"text\"\n\n><$list\n\n filter=\"[all[current]!has[dropdown]]\"\n variable=\"no-dropdown\"\n\n><$button\n\n class=\"tc-btn-invisible $(buttonClasses)$\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button></$list><$list\n\n filter=\"[all[current]has[dropdown]]\"\n variable=\"dropdown\"\n\n><$set\n\n name=\"dropdown-state\"\n value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$button\n\n popup=<<dropdown-state>>\n class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n selectedClass=\"tc-selected\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button><$reveal\n\n state=<<dropdown-state>>\n type=\"popup\"\n position=\"below\"\n animate=\"yes\"\n tag=\"span\"\n\n><div\n\n class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n tiddler={{!!dropdown}}\n mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n name=\"buttonClasses\"\n value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"
},
"$:/core/ui/EditTemplate/body": {
"title": "$:/core/ui/EditTemplate/body",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Body/\n\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n<$list filter=\"[all[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\" tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[all[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<div class=\"tc-tiddler-preview\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<div class=\"tc-tiddler-preview-preview\">\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/EditTemplate/controls": {
"title": "$:/core/ui/EditTemplate/controls",
"tags": "$:/tags/EditTemplate",
"text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
},
"$:/core/ui/EditTemplate/fields": {
"title": "$:/core/ui/EditTemplate/fields",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define current-tiddler-new-field-selector()\n[data-tiddler-title=\"$(currentTiddlerCSSescaped)$\"] .tc-edit-field-add-name-wrapper input\n\\end\n\n\\define new-field-actions()\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<newFieldValueTiddler>] [<storeTitle>] [<searchListState>]\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/>\n\\end\n\n\\define delete-state-tiddlers() <$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<storeTitle>] [<searchListState>]\"/>\n\n\\define cancel-search-actions-inner()\n<$list filter=\"[<storeTitle>has[text]] [<newFieldNameTiddler>has[text]]\" variable=\"ignore\" emptyMessage=\"\"\"<<cancel-delete-tiddler-actions \"cancel\">>\"\"\">\n<<delete-state-tiddlers>>\n</$list>\n\\end\n\n\\define cancel-search-actions()\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[<newFieldNameTiddler>get[text]!match<userInput>]\" emptyMessage=\"\"\"<<cancel-search-actions-inner>>\"\"\">\n<$action-setfield $tiddler=<<newFieldNameTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n</$list>\n</$set>\n\\end\n\n\\define new-field()\n<$vars name={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button tooltip=<<lingo Fields/Add/Button/Hint>>>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<newFieldValueTiddler>] [<storeTitle>] [<searchListState>]\"/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\\whitespace trim\n\n<div class=\"tc-edit-fields\">\n<table class={{{ [all[current]fields[]] :filter[lookup[$:/config/EditTemplateFields/Visibility/]!match[hide]] +[count[]!match[0]] +[then[tc-edit-fields]] ~[[tc-edit-fields tc-edit-fields-small]] }}}>\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\" storyview=\"pop\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$keyboard key=\"((delete-field))\" actions=\"\"\"<$action-deletefield $field=<<currentField>>/><$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/></$set>\"\"\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>\n</$keyboard>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/><$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/></$set>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit tc-big-gap-right\">\n<<lingo Fields/Add/Prompt>>\n</em>\n<$vars refreshTitle=<<qualify \"$:/temp/fieldname/refresh\">> storeTitle=<<newFieldNameInputTiddler>> searchListState=<<newFieldNameSelectionTiddler>>>\n<div class=\"tc-edit-field-add-name-wrapper\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<newFieldNameTiddler>> storeTitle=<<storeTitle>> refreshTitle=<<refreshTitle>>\n\t\tselectionStateTitle=<<searchListState>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}}\n\t\tfocusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}}\n\t\tfocus={{{ [{$:/config/AutoFocus}match[fields]then[true]] ~[[false]] }}} cancelPopups=\"yes\"\n\t\tconfigTiddlerFilter=\"[[$:/config/EditMode/fieldname-filter]]\" inputCancelActions=<<cancel-search-actions>> />\n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown tc-small-gap\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=<<newFieldNameTiddler>>>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$set name=\"newFieldName\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title<newFieldName>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\" variable=\"currentField\">\n<$list filter=\"[<currentField>addsuffix[-primaryList]] -[<searchListState>get[text]]\" emptyMessage=\"\"\"<$link to=<<currentField>> class=\"tc-list-item-selected\"><$text text=<<currentField>>/></$link>\"\"\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title<newFieldName>sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$list filter=\"[<currentField>addsuffix[-secondaryList]] -[<searchListState>get[text]]\" emptyMessage=\"\"\"<$link to=<<currentField>> class=\"tc-list-item-selected\"><$text text=<<currentField>>/></$link>\"\"\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$list>\n</$set>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n</div>\n<span class=\"tc-edit-field-add-value tc-small-gap-right\">\n<$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}>\n<$keyboard key=\"((add-field))\" actions=<<new-field-actions>>>\n<$edit-text tiddler=<<newFieldValueTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\" tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>\n</$keyboard>\n</$set>\n</span>\n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</$vars>\n</div>\n</$fieldmangler>\n"
},
"$:/core/ui/EditTemplate/shadow": {
"title": "$:/core/ui/EditTemplate/shadow",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
},
"$:/core/ui/EditTemplate/tags": {
"title": "$:/core/ui/EditTemplate/tags",
"tags": "$:/tags/EditTemplate",
"text": "\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon,tagField:\"tags\")\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view field=\"title\" format=\"text\" />\n<$button class=\"tc-btn-invisible tc-remove-tag-button\"><$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"-[{!!title}]\"/>{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon,tagField:\"tags\")\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\" tagField=<<__tagField__>>/>\n\\end\n\n\\define edit-tags-template(tagField:\"tags\")\n\\whitespace trim\n<div class=\"tc-edit-tags\">\n<$list filter=\"[list[!!$tagField$]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}} tagField=<<__tagField__>>/>\n</$list>\n<$vars tabIndex={{$:/config/EditTabIndex}} cancelPopups=\"yes\">\n<$macrocall $name=\"tag-picker\" tagField=<<__tagField__>>/>\n</$vars>\n</div>\n\\end\n<$set name=\"saveTiddler\" value=<<currentTiddler>>>\n<$macrocall $name=\"edit-tags-template\" tagField=<<tagField>>/>\n</$set>\n"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus={{{ [{$:/config/AutoFocus}match[title]then[true]] ~[[false]] }}} tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$list filter=\"[title<fromTitle>backlinks[]limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$tiddler tiddler=<<fromTitle>> >\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo/References\"/>\n</$tiddler>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/EditTemplate/type": {
"title": "$:/core/ui/EditTemplate/type",
"tags": "$:/tags/EditTemplate",
"first-search-filter": "[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]sort[description]sort[group-sort]removeprefix[$:/language/Docs/Types/]search<userInput>]",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define input-cancel-actions() <$list filter=\"[<storeTitle>get[text]] [<currentTiddler>get[type]] +[limit[1]]\" emptyMessage=\"\"\"<<cancel-delete-tiddler-actions \"cancel\">>\"\"\"><$action-sendmessage $message=\"tm-remove-field\" $param=\"type\"/><$action-deletetiddler $filter=\"[<typeInputTiddler>] [<refreshTitle>] [<typeSelectionTiddler>]\"/></$list>\n\\whitespace trim\n<$set name=\"refreshTitle\" value=<<qualify \"$:/temp/type-search/refresh\">>>\n<div class=\"tc-edit-type-selector-wrapper\">\n<em class=\"tc-edit tc-big-gap-right\"><<lingo Type/Prompt>></em>\n<div class=\"tc-type-selector-dropdown-wrapper\">\n<div class=\"tc-type-selector\"><$fieldmangler>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<currentTiddler>> storeTitle=<<typeInputTiddler>> refreshTitle=<<refreshTitle>> selectionStateTitle=<<typeSelectionTiddler>> field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[type]then[true]] ~[[false]] }}} cancelPopups=\"yes\" configTiddlerFilter=\"[[$:/core/ui/EditTemplate/type]]\" inputCancelActions=<<input-cancel-actions>>/><$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown tc-small-gap\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button><$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}<$action-deletetiddler $filter=\"[<storeTitle>] [<refreshTitle>] [<selectionStateTitle>]\"/></$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$set name=\"userInput\" value={{{ [<typeInputTiddler>get[text]] }}}>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]] +[removeprefix[$:/language/Docs/Types/]] +[search<userInput>]\"><span class={{{ [<currentTiddler>addsuffix[-primaryList]] -[<typeSelectionTiddler>get[text]] +[then[]else[tc-list-item-selected]] }}}><$link to={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]get[name]] }}}><$view tiddler={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]] }}} field=\"description\"/> (<$view tiddler={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]] }}} field=\"name\"/>)</$link></span>\n</$list>\n</$set>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</$set>\n</div>\n</div>\n</div>\n</$set>\n"
},
"$:/core/ui/EditTemplate": {
"title": "$:/core/ui/EditTemplate",
"text": "\\define delete-edittemplate-state-tiddlers() <$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<newFieldValueTiddler>] [<newFieldNameInputTiddler>] [<newFieldNameSelectionTiddler>] [<newTagNameTiddler>] [<newTagNameInputTiddler>] [<newTagNameSelectionTiddler>] [<typeInputTiddler>] [<typeSelectionTiddler>]\"/>\n\\define save-tiddler-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<<delete-edittemplate-state-tiddlers>>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n\\define cancel-delete-tiddler-actions(message)\n<<delete-edittemplate-state-tiddlers>>\n<$action-sendmessage $message=\"tm-$message$-tiddler\"/>\n\\end\n<div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-edit-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}>\n<$fieldmangler>\n<$vars storyTiddler=<<currentTiddler>> newTagNameTiddler=<<qualify \"$:/temp/NewTagName\">> newFieldNameTiddler=<<qualify \"$:/temp/NewFieldName\">> newFieldValueTiddler=<<qualify \"$:/temp/NewFieldValue\">> newFieldNameInputTiddler=<<qualify \"$:/temp/NewFieldName/input\">> newFieldNameSelectionTiddler=<<qualify \"$:/temp/NewFieldName/selected-item\">> newTagNameInputTiddler=<<qualify \"$:/temp/NewTagName/input\">> newTagNameSelectionTiddler=<<qualify \"$:/temp/NewTagName/selected-item\">> typeInputTiddler=<<qualify \"$:/temp/Type/input\">> typeSelectionTiddler=<<qualify \"$:/temp/Type/selected-item\">>>\n<$keyboard key=\"((cancel-edit-tiddler))\" actions=<<cancel-delete-tiddler-actions \"cancel\">>>\n<$keyboard key=\"((save-tiddler))\" actions=<<save-tiddler-actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$vars>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/Buttons/cancel": {
"title": "$:/core/ui/Buttons/cancel",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
"description": "{{$:/language/Buttons/Cancel/Hint}}",
"text": "\\whitespace trim\n<$button actions=<<cancel-delete-tiddler-actions \"cancel\">> tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/delete": {
"title": "$:/core/ui/Buttons/delete",
"tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
"caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
"description": "{{$:/language/Buttons/Delete/Hint}}",
"text": "\\whitespace trim\n<$button actions=<<cancel-delete-tiddler-actions \"delete\">> tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/save": {
"title": "$:/core/ui/Buttons/save",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
"description": "{{$:/language/Buttons/Save/Hint}}",
"text": "\\define save-tiddler-button()\n\\whitespace trim\n<$fieldmangler><$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<<save-tiddler-actions>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button></$fieldmangler>\n\\end\n<<save-tiddler-button>>\n"
},
"$:/core/ui/EditorToolbar/bold": {
"title": "$:/core/ui/EditorToolbar/bold",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/bold",
"caption": "{{$:/language/Buttons/Bold/Caption}}",
"description": "{{$:/language/Buttons/Bold/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((bold))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"
},
"$:/core/ui/EditorToolbar/clear-dropdown": {
"title": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": "''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"
},
"$:/core/ui/EditorToolbar/clear": {
"title": "$:/core/ui/EditorToolbar/clear",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/erase",
"caption": "{{$:/language/Buttons/Clear/Caption}}",
"description": "{{$:/language/Buttons/Clear/Hint}}",
"condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
"dropdown": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/editor-height-dropdown": {
"title": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"
},
"$:/core/ui/EditorToolbar/editor-height": {
"title": "$:/core/ui/EditorToolbar/editor-height",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/fixed-height",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/EditorHeight/Caption}}",
"description": "{{$:/language/Buttons/EditorHeight/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] [<targetTiddler>get[type]match[application/javascript]] [<targetTiddler>get[type]match[application/json]] [<targetTiddler>get[type]match[application/x-tiddler-dictionary]] [<targetTiddler>get[type]match[image/svg+xml]] +[first[]]",
"dropdown": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/excise-dropdown": {
"title": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>> <$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\"> <<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>> <$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"
},
"$:/core/ui/EditorToolbar/excise": {
"title": "$:/core/ui/EditorToolbar/excise",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/excise",
"caption": "{{$:/language/Buttons/Excise/Caption}}",
"description": "{{$:/language/Buttons/Excise/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>type[text/vnd.tiddlywiki]] +[first[]]",
"shortcuts": "((excise))",
"dropdown": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/heading-1": {
"title": "$:/core/ui/EditorToolbar/heading-1",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-1",
"caption": "{{$:/language/Buttons/Heading1/Caption}}",
"description": "{{$:/language/Buttons/Heading1/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((heading-1))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-2": {
"title": "$:/core/ui/EditorToolbar/heading-2",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-2",
"caption": "{{$:/language/Buttons/Heading2/Caption}}",
"description": "{{$:/language/Buttons/Heading2/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-2))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-3": {
"title": "$:/core/ui/EditorToolbar/heading-3",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-3",
"caption": "{{$:/language/Buttons/Heading3/Caption}}",
"description": "{{$:/language/Buttons/Heading3/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-3))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/core/ui/EditorToolbar/heading-4",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-4",
"caption": "{{$:/language/Buttons/Heading4/Caption}}",
"description": "{{$:/language/Buttons/Heading4/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-4))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/core/ui/EditorToolbar/heading-5",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-5",
"caption": "{{$:/language/Buttons/Heading5/Caption}}",
"description": "{{$:/language/Buttons/Heading5/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-5))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/core/ui/EditorToolbar/heading-6",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-6",
"caption": "{{$:/language/Buttons/Heading6/Caption}}",
"description": "{{$:/language/Buttons/Heading6/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-6))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"
},
"$:/core/ui/EditorToolbar/italic": {
"title": "$:/core/ui/EditorToolbar/italic",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/italic",
"caption": "{{$:/language/Buttons/Italic/Caption}}",
"description": "{{$:/language/Buttons/Italic/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((italic))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"
},
"$:/core/ui/EditorToolbar/line-width-dropdown": {
"title": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/line-width": {
"title": "$:/core/ui/EditorToolbar/line-width",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/line-width",
"caption": "{{$:/language/Buttons/LineWidth/Caption}}",
"description": "{{$:/language/Buttons/LineWidth/Hint}}",
"condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
"dropdown": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/LineWidth}}/>\n"
},
"$:/core/ui/EditorToolbar/link-dropdown": {
"title": "$:/core/ui/EditorToolbar/link-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Link/\n\n\\define add-link-actions()\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(linkTiddler)$}} />\n<$action-deletetiddler $filter=\"[<dropdown-state>] [<searchTiddler>] [<linkTiddler>] [<storeTitle>] [<searchListState>]\"/>\n\\end\n\n\\define get-focus-selector() [data-tiddler-title=\"$(cssEscapedTitle)$\"] .tc-create-wikitext-link input\n\n\\define cancel-search-actions-inner()\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}><$list filter=\"[<searchTiddler>get[text]!match<userInput>]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[<searchTiddler>] [<linkTiddler>] [<storeTitle>] [<searchListState>]\"/>\"\"\"><$action-setfield $tiddler=<<searchTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/></$list></$set>\n\\end\n\n\\define cancel-search-actions() <$list filter=\"[<storeTitle>!has[text]] +[<searchTiddler>!has[text]]\" emptyMessage=\"\"\"<<cancel-search-actions-inner>>\"\"\"><$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"wrap-selection\" prefix=\"\" suffix=\"\"/></$list>\n\n\\define external-link()\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\" actions=<<add-link-actions>>>\n{{$:/core/images/chevron-right}}\n</$button>\n\\end\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/sidebar\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" searchListState=<<qualify \"$:/temp/link-search/selected-item\">> refreshTitle=<<qualify \"$:/temp/link-search/refresh\">> storeTitle=<<qualify \"$:/temp/link-search/input\">>>\n\n<$vars linkTiddler=<<searchTiddler>>>\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">> class=\"tc-create-wikitext-link\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<searchTiddler>> storeTitle=<<storeTitle>>\n\t\tselectionStateTitle=<<searchListState>> refreshTitle=<<refreshTitle>> type=\"search\" filterMinLength=\"1\"\n\t\ttag=\"input\" focus=\"true\" class=\"tc-popup-handle\" inputCancelActions=<<cancel-search-actions>> \n\t\tinputAcceptActions=<<add-link-actions>> placeholder={{$:/language/Search/Search}} default=\"\" \n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\" />\n</$keyboard>\n</$keyboard>\n<$reveal tag=\"span\" state=<<storeTitle>> type=\"nomatch\" text=\"\">\n<<external-link>>\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<<cancel-search-actions>><$set name=\"cssEscapedTitle\" value={{{ [<storyTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-focus-selector>>/></$set>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</$vars>\n\n<$reveal tag=\"div\" state=<<storeTitle>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<add-link-actions>> to=<<linkTiddler>>>\n\n<$vars userInput={{{ [<storeTitle>get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}}>\n\n{{$:/core/ui/SearchResults}}\n\n</$vars>\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>\n"
},
"$:/core/ui/EditorToolbar/link": {
"title": "$:/core/ui/EditorToolbar/link",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/link",
"caption": "{{$:/language/Buttons/Link/Caption}}",
"description": "{{$:/language/Buttons/Link/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((link))",
"dropdown": "$:/core/ui/EditorToolbar/link-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/linkify": {
"title": "$:/core/ui/EditorToolbar/linkify",
"caption": "{{$:/language/Buttons/Linkify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Linkify/Hint}}",
"icon": "$:/core/images/linkify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((linkify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"[[\"\n\tsuffix=\"]]\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-bullet": {
"title": "$:/core/ui/EditorToolbar/list-bullet",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-bullet",
"caption": "{{$:/language/Buttons/ListBullet/Caption}}",
"description": "{{$:/language/Buttons/ListBullet/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-bullet))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-number": {
"title": "$:/core/ui/EditorToolbar/list-number",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-number",
"caption": "{{$:/language/Buttons/ListNumber/Caption}}",
"description": "{{$:/language/Buttons/ListNumber/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-number))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-block": {
"title": "$:/core/ui/EditorToolbar/mono-block",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-block",
"caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
"description": "{{$:/language/Buttons/MonoBlock/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((mono-block))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-line": {
"title": "$:/core/ui/EditorToolbar/mono-line",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-line",
"caption": "{{$:/language/Buttons/MonoLine/Caption}}",
"description": "{{$:/language/Buttons/MonoLine/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((mono-line))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
},
"$:/core/ui/EditorToolbar/more-dropdown": {
"title": "$:/core/ui/EditorToolbar/more-dropdown",
"text": "\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/> <$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"
},
"$:/core/ui/EditorToolbar/more": {
"title": "$:/core/ui/EditorToolbar/more",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/down-arrow",
"caption": "{{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"condition": "[<targetTiddler>]",
"dropdown": "$:/core/ui/EditorToolbar/more-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/opacity-dropdown": {
"title": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/EditorToolbar/opacity": {
"title": "$:/core/ui/EditorToolbar/opacity",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/opacity",
"caption": "{{$:/language/Buttons/Opacity/Caption}}",
"description": "{{$:/language/Buttons/Opacity/Hint}}",
"condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
"dropdown": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"
},
"$:/core/ui/EditorToolbar/paint-dropdown": {
"title": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/paint": {
"title": "$:/core/ui/EditorToolbar/paint",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/paint",
"caption": "{{$:/language/Buttons/Paint/Caption}}",
"description": "{{$:/language/Buttons/Paint/Hint}}",
"condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
"dropdown": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"
},
"$:/core/ui/EditorToolbar/picture-dropdown": {
"title": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": "\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/picture": {
"title": "$:/core/ui/EditorToolbar/picture",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/picture",
"caption": "{{$:/language/Buttons/Picture/Caption}}",
"description": "{{$:/language/Buttons/Picture/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((picture))",
"dropdown": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/preview-type-dropdown": {
"title": "$:/core/ui/EditorToolbar/preview-type-dropdown",
"text": "\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/preview-type": {
"title": "$:/core/ui/EditorToolbar/preview-type",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/chevron-down",
"caption": "{{$:/language/Buttons/PreviewType/Caption}}",
"description": "{{$:/language/Buttons/PreviewType/Hint}}",
"condition": "[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]",
"button-classes": "tc-text-editor-toolbar-item-adjunct",
"dropdown": "$:/core/ui/EditorToolbar/preview-type-dropdown"
},
"$:/core/ui/EditorToolbar/preview": {
"title": "$:/core/ui/EditorToolbar/preview",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/preview-open",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/Preview/Caption}}",
"description": "{{$:/language/Buttons/Preview/Hint}}",
"condition": "[<targetTiddler>]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((preview))",
"text": "<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-open}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"no\"/>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-closed}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"yes\"/>\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/quote": {
"title": "$:/core/ui/EditorToolbar/quote",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/quote",
"caption": "{{$:/language/Buttons/Quote/Caption}}",
"description": "{{$:/language/Buttons/Quote/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((quote))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"
},
"$:/core/ui/EditorToolbar/rotate-left": {
"title": "$:/core/ui/EditorToolbar/rotate-left",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/rotate-left",
"caption": "{{$:/language/Buttons/RotateLeft/Caption}}",
"description": "{{$:/language/Buttons/RotateLeft/Hint}}",
"condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"rotate-left\"\n/>\n"
},
"$:/core/ui/EditorToolbar/size-dropdown": {
"title": "$:/core/ui/EditorToolbar/size-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> × <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/> <<lingo Caption/Height>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/> <$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"
},
"$:/core/ui/EditorToolbar/size": {
"title": "$:/core/ui/EditorToolbar/size",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/size",
"caption": "{{$:/language/Buttons/Size/Caption}}",
"description": "{{$:/language/Buttons/Size/Hint}}",
"condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
"dropdown": "$:/core/ui/EditorToolbar/size-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/stamp-dropdown": {
"title": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n</$list>\n\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix={{{ [[$(snippetTitle)$]addsuffix[/prefix]get[text]] }}}\nsuffix={{{ [[$(snippetTitle)$]addsuffix[/suffix]get[text]] }}}\n/>\n\n</$list>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<snippetTitle>> field=\"title\" />\n\n</$transclude>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TextEditor/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"
},
"$:/core/ui/EditorToolbar/stamp": {
"title": "$:/core/ui/EditorToolbar/stamp",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/stamp",
"caption": "{{$:/language/Buttons/Stamp/Caption}}",
"description": "{{$:/language/Buttons/Stamp/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] [<targetTiddler>get[type]match[application/javascript]] [<targetTiddler>get[type]match[application/json]] [<targetTiddler>get[type]match[application/x-tiddler-dictionary]] [<targetTiddler>get[type]match[image/svg+xml]] +[first[]]",
"shortcuts": "((stamp))",
"dropdown": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/strikethrough": {
"title": "$:/core/ui/EditorToolbar/strikethrough",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/strikethrough",
"caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
"description": "{{$:/language/Buttons/Strikethrough/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((strikethrough))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
},
"$:/core/ui/EditorToolbar/subscript": {
"title": "$:/core/ui/EditorToolbar/subscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/subscript",
"caption": "{{$:/language/Buttons/Subscript/Caption}}",
"description": "{{$:/language/Buttons/Subscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((subscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"
},
"$:/core/ui/EditorToolbar/superscript": {
"title": "$:/core/ui/EditorToolbar/superscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/superscript",
"caption": "{{$:/language/Buttons/Superscript/Caption}}",
"description": "{{$:/language/Buttons/Superscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((superscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"
},
"$:/core/ui/EditorToolbar/transcludify": {
"title": "$:/core/ui/EditorToolbar/transcludify",
"caption": "{{$:/language/Buttons/Transcludify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Transcludify/Hint}}",
"icon": "$:/core/images/transcludify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((transcludify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"{{\"\n\tsuffix=\"}}\"\n/>\n"
},
"$:/core/ui/EditorToolbar/underline": {
"title": "$:/core/ui/EditorToolbar/underline",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/underline",
"caption": "{{$:/language/Buttons/Underline/Caption}}",
"description": "{{$:/language/Buttons/Underline/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((underline))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"
},
"$:/core/Filters/AllTags": {
"title": "$:/core/Filters/AllTags",
"tags": "$:/tags/Filter",
"filter": "[tags[]!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTags}}",
"text": ""
},
"$:/core/Filters/AllTiddlers": {
"title": "$:/core/Filters/AllTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTiddlers}}",
"text": ""
},
"$:/core/Filters/Drafts": {
"title": "$:/core/Filters/Drafts",
"tags": "$:/tags/Filter",
"filter": "[has[draft.of]sort[title]]",
"description": "{{$:/language/Filters/Drafts}}",
"text": ""
},
"$:/core/Filters/Missing": {
"title": "$:/core/Filters/Missing",
"tags": "$:/tags/Filter",
"filter": "[all[missing]sort[title]]",
"description": "{{$:/language/Filters/Missing}}",
"text": ""
},
"$:/core/Filters/Orphans": {
"title": "$:/core/Filters/Orphans",
"tags": "$:/tags/Filter",
"filter": "[all[orphans]sort[title]]",
"description": "{{$:/language/Filters/Orphans}}",
"text": ""
},
"$:/core/Filters/OverriddenShadowTiddlers": {
"title": "$:/core/Filters/OverriddenShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[shadow]]",
"description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentSystemTiddlers": {
"title": "$:/core/Filters/RecentSystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentSystemTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentTiddlers": {
"title": "$:/core/Filters/RecentTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentTiddlers}}",
"text": ""
},
"$:/core/Filters/SessionTiddlers": {
"title": "$:/core/Filters/SessionTiddlers",
"tags": "$:/tags/Filter",
"filter": "[haschanged[]]",
"description": "{{$:/language/Filters/SessionTiddlers}}",
"text": ""
},
"$:/core/Filters/ShadowTiddlers": {
"title": "$:/core/Filters/ShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[all[shadows]sort[title]]",
"description": "{{$:/language/Filters/ShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/StoryList": {
"title": "$:/core/Filters/StoryList",
"tags": "$:/tags/Filter",
"filter": "[list[$:/StoryList]] -$:/AdvancedSearch",
"description": "{{$:/language/Filters/StoryList}}",
"text": ""
},
"$:/core/Filters/SystemTags": {
"title": "$:/core/Filters/SystemTags",
"tags": "$:/tags/Filter",
"filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTags}}",
"text": ""
},
"$:/core/Filters/SystemTiddlers": {
"title": "$:/core/Filters/SystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTiddlers}}",
"text": ""
},
"$:/core/Filters/TypedTiddlers": {
"title": "$:/core/Filters/TypedTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Filters/TypedTiddlers}}",
"text": ""
},
"$:/core/ui/ImportListing": {
"title": "$:/core/ui/ImportListing",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define messageField() message-$(payloadTiddler)$\n\n\\define payloadTitleFilter() [<currentTiddler>get<renameField>minlength[1]else<payloadTiddler>]\n\n\\define overWriteWarning()\n<$list filter=\"[<currentTiddler>!has<suppressedField>]\">\n<$text text={{{[subfilter<payloadTitleFilter>!is[tiddler]then[]] ~[<lingo-base>addsuffix[Listing/Rename/OverwriteWarning]get[text]]}}}/>\n</$list>\n\\end\n\n\\define selectionField() selection-$(payloadTiddler)$\n\n\\define renameField() rename-$(payloadTiddler)$\n\n\\define suppressedField() suppressed-$(payloadTiddler)$\n\n\\define newImportTitleTiddler() $:/temp/NewImportTitle-$(payloadTiddler)$\n\n\\define previewPopupState() $(currentTiddler)$!!popup-$(payloadTiddler)$\n\n\\define renameFieldState() $(currentTiddler)$!!state-rename-$(payloadTiddler)$\n\n\\define select-all-actions()\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n<table class=\"tc-import-table\">\n<tbody>\n<tr>\n<th align=\"left\">\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr class={{{[<currentTiddler>has<suppressedField>then[tc-row-disabled]] ~[subfilter<payloadTitleFilter>is[tiddler]then[tc-row-warning]] }}}>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" disabled={{{[<currentTiddler>has<suppressedField>then[yes]else[no]]}}}/>\n</td>\n<td>\n<$reveal type=\"nomatch\" state=<<renameFieldState>> text=\"yes\" tag=\"div\">\n<$reveal type=\"nomatch\" state=<<previewPopupState>> text=\"yes\" tag=\"div\" class=\"tc-flex\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown tc-flex-grow-1 tc-word-break\" set=<<previewPopupState>> setTo=\"yes\" disabled={{{[<currentTiddler>has<suppressedField>then[yes]else[no]]}}}>\n<span class=\"tc-small-gap-right\">{{$:/core/images/right-arrow}}</span><$text text={{{[subfilter<payloadTitleFilter>]}}}/>\n</$button>\n<$list filter=\"[<currentTiddler>!has<suppressedField>]\"><$button class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"yes\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/Tooltip]get[text]]}}}>{{$:/core/images/edit-button}}</$button></$list>\n</$reveal>\n<$reveal type=\"match\" state=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<previewPopupState>> setTo=\"no\">\n<span class=\"tc-small-gap-right\">{{$:/core/images/down-arrow}}</span><$text text={{{[subfilter<payloadTitleFilter>]}}}/>\n</$button>\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" state=<<renameFieldState>> text=\"yes\" tag=\"div\">\n<$text text={{{[<lingo-base>addsuffix[Listing/Rename/Prompt]get[text]]}}}/>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n<<overWriteWarning>>\n</td>\n</tr>\n<$reveal type=\"match\" state=<<renameFieldState>> text=\"yes\" tag=\"tr\">\n<td colspan=\"3\">\n<div class=\"tc-flex\">\n<$edit-text tiddler=<<newImportTitleTiddler>> default={{{[subfilter<payloadTitleFilter>]}}} tag=\"input\" class=\"tc-import-rename tc-flex-grow-1\"/><span class=\"tc-small-gap-left\"><$button class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"no\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/CancelRename]get[text]]}}}>{{$:/core/images/close-button}}<$action-deletetiddler $tiddler=<<newImportTitleTiddler>>/></$button><span class=\"tc-small-gap-right\"/></span><$button class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"no\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/ConfirmRename]get[text]]}}}>{{$:/core/images/done-button}}<$action-setfield $field=<<renameField>> $value={{{[<newImportTitleTiddler>get[text]minlength[1]else<payloadTiddler>]}}} /><$action-deletetiddler $tiddler=<<newImportTitleTiddler>>/></$button>\n</div>\n</td>\n</$reveal>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" state=<<previewPopupState>> tag=\"div\">\n<$list filter=\"[{$:/state/importpreviewtype}has[text]]\" variable=\"listItem\" emptyMessage={{$:/core/ui/ImportPreviews/Text}}>\n<$transclude tiddler={{$:/state/importpreviewtype}}/>\n</$list>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Diff": {
"title": "$:/core/ui/ImportPreviews/Diff",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Diff}}",
"text": "<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>>/>\n"
},
"$:/core/ui/ImportPreviews/DiffFields": {
"title": "$:/core/ui/ImportPreviews/DiffFields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/DiffFields}}",
"text": "<$macrocall $name=\"compareTiddlers\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>> exclude=\"text\"/>\n"
},
"$:/core/ui/ImportPreviews/Fields": {
"title": "$:/core/ui/ImportPreviews/Fields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Fields}}",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[<payloadTiddler>subtiddlerfields<currentTiddler>sort[]] -text\" variable=\"fieldName\">\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<fieldName>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<fieldName>> tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>>/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Text": {
"title": "$:/core/ui/ImportPreviews/Text",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Text}}",
"text": "<$transclude tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> mode=\"block\"/>\n"
},
"$:/core/ui/ImportPreviews/TextRaw": {
"title": "$:/core/ui/ImportPreviews/TextRaw",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/TextRaw}}",
"text": "<pre><code><$view tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> /></code></pre>"
},
"$:/core/ui/KeyboardShortcuts/advanced-search": {
"title": "$:/core/ui/KeyboardShortcuts/advanced-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((advanced-search))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\" preventScroll=\"true\"/>\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/change-sidebar-layout": {
"title": "$:/core/ui/KeyboardShortcuts/change-sidebar-layout",
"tags": "$:/tags/KeyboardShortcut",
"key": "((change-sidebar-layout))",
"text": "<$list filter=\"[{$:/themes/tiddlywiki/vanilla/options/sidebarlayout}match[fixed-fluid]]\" \nemptyMessage=\"\"\"<$action-setfield $tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" text=\"fixed-fluid\"/>\"\"\">\n<$action-setfield $tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" text=\"fluid-fixed\"/>\n</$list>\n"
},
"$:/core/ui/KeyboardShortcuts/new-image": {
"title": "$:/core/ui/KeyboardShortcuts/new-image",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-image))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-image}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-journal": {
"title": "$:/core/ui/KeyboardShortcuts/new-journal",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-journal))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-journal}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-tiddler": {
"title": "$:/core/ui/KeyboardShortcuts/new-tiddler",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-tiddler))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-tiddler}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/save-wiki": {
"title": "$:/core/ui/KeyboardShortcuts/save-wiki",
"tags": "$:/tags/KeyboardShortcut",
"key": "((save-wiki))",
"text": "<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n"
},
"$:/core/ui/KeyboardShortcuts/sidebar-search": {
"title": "$:/core/ui/KeyboardShortcuts/sidebar-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((sidebar-search))",
"text": "<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n"
},
"$:/core/ui/KeyboardShortcuts/switcher": {
"title": "$:/core/ui/KeyboardShortcuts/switcher",
"tags": "$:/tags/KeyboardShortcut",
"key": "((layout-switcher))",
"text": "<$action-sendmessage $message=\"tm-show-switcher\" switch=\"layout\"/>"
},
"$:/core/ui/KeyboardShortcuts/toggle-sidebar": {
"title": "$:/core/ui/KeyboardShortcuts/toggle-sidebar",
"tags": "$:/tags/KeyboardShortcut",
"key": "((toggle-sidebar))",
"text": "<$list filter=\"[[$:/state/sidebar]is[missing]] [{$:/state/sidebar}removeprefix[yes]]\" emptyMessage=\"\"\"\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"yes\"/>\n\"\"\">\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n</$list>\n"
},
"$:/snippets/LayoutSwitcher": {
"title": "$:/snippets/LayoutSwitcher",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/LayoutSwitcher/Caption}}",
"text": "<$linkcatcher to=\"$:/layout\">\n<div class=\"tc-chooser\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/Layout]] [[$:/core/ui/PageTemplate]] +[!is[draft]sort[name]]\">\n<$list filter=\"[{$:/layout}!has[text]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/layout}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$transclude field=\"name\"/>'' - <$transclude field=\"description\"/></$link></div>\n</$set>\n\"\"\">\n<$set name=\"cls\" filter=\"[all[current]field:title[$:/core/ui/PageTemplate]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$transclude field=\"name\"/>'' - <$transclude field=\"description\"/></$link></div>\n</$set>\n</$list>\n</$list>\n</div>\n</$linkcatcher>\n"
},
"$:/core/ui/ListItemTemplate": {
"title": "$:/core/ui/ListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link />\n</div>"
},
"$:/Manager/ItemMain/Fields": {
"title": "$:/Manager/ItemMain/Fields",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/Fields}}",
"text": "<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/Manager/ItemMain/RawText": {
"title": "$:/Manager/ItemMain/RawText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/RawText}}",
"text": "<pre><code><$view/></code></pre>\n"
},
"$:/Manager/ItemMain/WikifiedText": {
"title": "$:/Manager/ItemMain/WikifiedText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/WikifiedText}}",
"text": "<$transclude mode=\"block\"/>\n"
},
"$:/Manager/ItemSidebar/Colour": {
"title": "$:/Manager/ItemSidebar/Colour",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Colour}}",
"text": "\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/> / <$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Icon": {
"title": "$:/Manager/ItemSidebar/Icon",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Icon}}",
"text": "<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall $name=\"image-picker-include-tagged-images\" actions=\"\"\"\n<$action-setfield $field=\"icon\" $value=<<imageTitle>>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/image-picker\">>/>\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tags": {
"title": "$:/Manager/ItemSidebar/Tags",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tags}}",
"text": "\\whitespace trim\n\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n\\end\n\n<p>\n<$list filter=\"[all[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\" storyview=\"pop\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$fieldmangler>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</$fieldmangler>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tools": {
"title": "$:/Manager/ItemSidebar/Tools",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tools}}",
"text": "<p>\n<$button to=<<currentTiddler>>>{{$:/core/images/link}} open</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>{{$:/core/images/edit-button}} edit</$button>\n</p>\n"
},
"$:/Manager": {
"title": "$:/Manager",
"icon": "$:/core/images/list",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>> <$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>> <$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>> <$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>> <$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"
},
"$:/core/ui/MissingTemplate": {
"title": "$:/core/ui/MissingTemplate",
"text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
},
"$:/core/ui/MoreSideBar/All": {
"title": "$:/core/ui/MoreSideBar/All",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/All/Caption}}",
"text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Drafts": {
"title": "$:/core/ui/MoreSideBar/Drafts",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Drafts/Caption}}",
"text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Explorer": {
"title": "$:/core/ui/MoreSideBar/Explorer",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Explorer/Caption}}",
"text": "<<tree \"$:/\">>\n"
},
"$:/core/ui/MoreSideBar/Missing": {
"title": "$:/core/ui/MoreSideBar/Missing",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Missing/Caption}}",
"text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Orphans": {
"title": "$:/core/ui/MoreSideBar/Orphans",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Orphans/Caption}}",
"text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" default=\"$:/core/ui/MoreSideBar/Plugins/Plugins\" explicitState=\"$:/state/tab-1163638994\"/>\n"
},
"$:/core/ui/MoreSideBar/Recent": {
"title": "$:/core/ui/MoreSideBar/Recent",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/MoreSideBar/Shadows": {
"title": "$:/core/ui/MoreSideBar/Shadows",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Shadows/Caption}}",
"text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/System": {
"title": "$:/core/ui/MoreSideBar/System",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/System/Caption}}",
"text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Tags": {
"title": "$:/core/ui/MoreSideBar/Tags",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Tags/Caption}}",
"text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
},
"$:/core/ui/MoreSideBar/Types": {
"title": "$:/core/ui/MoreSideBar/Types",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Types/Caption}}",
"text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Languages": {
"title": "$:/core/ui/MoreSideBar/Plugins/Languages",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[language]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins/Plugins",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Theme": {
"title": "$:/core/ui/MoreSideBar/Plugins/Theme",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[theme]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/Buttons/advanced-search": {
"title": "$:/core/ui/Buttons/advanced-search",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
"description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
"text": "\\whitespace trim\n\\define advanced-search-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<advanced-search-button>>>\n<<advanced-search-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/close-all": {
"title": "$:/core/ui/Buttons/close-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
"description": "{{$:/language/Buttons/CloseAll/Hint}}",
"text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/control-panel": {
"title": "$:/core/ui/Buttons/control-panel",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
"description": "{{$:/language/Buttons/ControlPanel/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/encryption": {
"title": "$:/core/ui/Buttons/encryption",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
"description": "{{$:/language/Buttons/Encryption/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/export-page": {
"title": "$:/core/ui/Buttons/export-page",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
"description": "{{$:/language/Buttons/ExportPage/Hint}}",
"text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
},
"$:/core/ui/Buttons/fold-all": {
"title": "$:/core/ui/Buttons/fold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
"description": "{{$:/language/Buttons/FoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/full-screen": {
"title": "$:/core/ui/Buttons/full-screen",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
"description": "{{$:/language/Buttons/FullScreen/Hint}}",
"text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/home": {
"title": "$:/core/ui/Buttons/home",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
"description": "{{$:/language/Buttons/Home/Hint}}",
"text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/import": {
"title": "$:/core/ui/Buttons/import",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
"description": "{{$:/language/Buttons/Import/Hint}}",
"text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
},
"$:/core/ui/Buttons/language": {
"title": "$:/core/ui/Buttons/language",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
"description": "{{$:/language/Buttons/Language/Hint}}",
"text": "\\whitespace trim\n\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/languageswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/manager": {
"title": "$:/core/ui/Buttons/manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}",
"description": "{{$:/language/Buttons/Manager/Hint}}",
"text": "\\whitespace trim\n\\define manager-button(class)\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Manager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/more-page-actions": {
"title": "$:/core/ui/Buttons/more-page-actions",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-image": {
"title": "$:/core/ui/Buttons/new-image",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}",
"description": "{{$:/language/Buttons/NewImage/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-image}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewImage/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/new-journal": {
"title": "$:/core/ui/Buttons/new-journal",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
"description": "{{$:/language/Buttons/NewJournal/Hint}}",
"text": "\\whitespace trim\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-journal}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<<journalButton>>\n"
},
"$:/core/ui/Buttons/new-tiddler": {
"title": "$:/core/ui/Buttons/new-tiddler",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
"description": "{{$:/language/Buttons/NewTiddler/Hint}}",
"text": "\\whitespace trim\n<$button actions={{$:/core/ui/Actions/new-tiddler}} tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/palette": {
"title": "$:/core/ui/Buttons/palette",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
"description": "{{$:/language/Buttons/Palette/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/print": {
"title": "$:/core/ui/Buttons/print",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}",
"description": "{{$:/language/Buttons/Print/Hint}}",
"text": "<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Print/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/refresh": {
"title": "$:/core/ui/Buttons/refresh",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
"description": "{{$:/language/Buttons/Refresh/Hint}}",
"text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save-wiki": {
"title": "$:/core/ui/Buttons/save-wiki",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
"description": "{{$:/language/Buttons/SaveWiki/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
},
"$:/core/ui/Buttons/storyview": {
"title": "$:/core/ui/Buttons/storyview",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
"description": "{{$:/language/Buttons/StoryView/Hint}}",
"text": "\\whitespace trim\n\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/viewswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/tag-manager": {
"title": "$:/core/ui/Buttons/tag-manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
"description": "{{$:/language/Buttons/TagManager/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/theme": {
"title": "$:/core/ui/Buttons/theme",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
"description": "{{$:/language/Buttons/Theme/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n{{$:/snippets/themeswitcher}}\n</$linkcatcher>\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/timestamp": {
"title": "$:/core/ui/Buttons/timestamp",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}",
"description": "{{$:/language/Buttons/Timestamp/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/On/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/unfold-all": {
"title": "$:/core/ui/Buttons/unfold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
"description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/PageTemplate/pagecontrols": {
"title": "$:/core/ui/PageTemplate/pagecontrols",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n</div>\n"
},
"$:/core/ui/PageStylesheet": {
"title": "$:/core/ui/PageStylesheet",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/PageTemplate/alerts": {
"title": "$:/core/ui/PageTemplate/alerts",
"tags": "$:/tags/PageTemplate",
"text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
},
"$:/core/ui/PageTemplate/drafts": {
"title": "$:/core/ui/PageTemplate/drafts",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<$reveal state=\"$:/status/IsReadOnly\" type=\"nomatch\" text=\"yes\" tag=\"div\" class=\"tc-drafts-list\">\n<$list filter=\"[has[draft.of]!sort[modified]] -[list[$:/StoryList]]\">\n<$link>\n{{$:/core/images/edit-button}} <$text text=<<currentTiddler>>/>\n</$link>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/PageTemplate/pluginreloadwarning": {
"title": "$:/core/ui/PageTemplate/pluginreloadwarning",
"tags": "$:/tags/PageTemplate",
"text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[{$:/status/RequireReloadDueToPluginChange}match[yes]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/PageTemplate/sidebar": {
"title": "$:/core/ui/PageTemplate/sidebar",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\" tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
},
"$:/core/ui/PageTemplate/story": {
"title": "$:/core/ui/PageTemplate/story",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template={{$:/config/ui/ViewTemplate}} editTemplate={{$:/config/ui/EditTemplate}} storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
},
"$:/core/ui/PageTemplate/topleftbar": {
"title": "$:/core/ui/PageTemplate/topleftbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate/toprightbar": {
"title": "$:/core/ui/PageTemplate/toprightbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate": {
"title": "$:/core/ui/PageTemplate",
"name": "{{$:/language/PageTemplate/Name}}",
"description": "{{$:/language/PageTemplate/Description}}",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$vars\n\ttv-config-toolbar-icons={{$:/config/Toolbar/Icons}}\n\ttv-config-toolbar-text={{$:/config/Toolbar/Text}}\n\ttv-config-toolbar-class={{$:/config/Toolbar/ButtonClass}}\n\ttv-enable-drag-and-drop={{$:/config/DragAndDrop/Enable}}\n\ttv-show-missing-links={{$:/config/MissingLinks}}\n\tstoryviewTitle={{$:/view}}\n\tlanguageTitle={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone enable=<<tv-enable-drag-and-drop>>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$vars>\n"
},
"$:/PaletteManager": {
"title": "$:/PaletteManager",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n\\define edit-colour-placeholder()\n edit $(colourName)$\n\\end\n\\define colour-tooltip(showhide) $showhide$ editor for $(newColourName)$ \n\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define delete-colour-index-actions() <$action-setfield $index=<<colourName>>/>\n\\define palette-manager-colour-row-segment()\n\\whitespace trim\n<$edit-text index=<<colourName>> tag=\"input\" placeholder=<<edit-colour-placeholder>> default=\"\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\" class=\"tc-palette-manager-colour-input\"/>\n<$list filter=\"[<currentTiddler>getindex<colourName>removeprefix[<<]removesuffix[>>]] [<currentTiddler>getindex<colourName>removeprefix[<$]removesuffix[/>]]\" variable=\"ignore\">\n<$set name=\"state\" value={{{ [[$:/state/palettemanager/]addsuffix<currentTiddler>addsuffix[/]addsuffix<colourName>] }}}>\n<$wikify name=\"newColourName\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall={{{ [<currentTiddler>getindex<colourName>] }}}/>\"\"\">\n<$reveal state=<<state>> type=\"nomatch\" text=\"show\">\n<$button tooltip=<<colour-tooltip show>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" set=<<state>> setTo=\"show\">{{$:/core/images/down-arrow}}<$text text=<<newColourName>> class=\"tc-small-gap-left\"/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$button tooltip=<<colour-tooltip hide>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" actions=\"\"\"<$action-deletetiddler $tiddler=<<state>>/>\"\"\">{{$:/core/images/up-arrow}}<$text text=<<newColourName>> class=\"tc-small-gap-left\"/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$set name=\"colourName\" value=<<newColourName>>>\n<br>\n<<palette-manager-colour-row-segment>>\n<br><br>\n</$set>\n</$reveal>\n</$wikify>\n</$set>\n</$list>\n\\end\n\\define palette-manager-colour-row()\n\\whitespace trim\n<tr>\n<td>\n<span style=\"float:right;\">\n<$button tooltip={{$:/language/ControlPanel/Palette/Editor/Delete/Hint}} aria-label=<<lingo Delete/Hint>> class=\"tc-btn-invisible\" actions=<<delete-colour-index-actions>>>\n{{$:/core/images/delete-button}}</$button>\n</span>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<<palette-manager-colour-row-segment>>\n</td>\n</tr>\n\\end\n\\define palette-manager-table()\n\\whitespace trim\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]indexes[]]\" variable=\"colourName\">\n<$list filter=\"[<currentTiddler>indexes[]removeprefix<colourName>suffix[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[{$:/state/palettemanager/showexternal}removeprefix[yes]suffix[]]\" variable=\"ignore\">\n<<palette-manager-colour-row>>\n</$list>\n\"\"\">\n<<palette-manager-colour-row>>\n</$list>\n</$list>\n</tbody>\n</table>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<$checkbox tiddler=\"$:/state/palettemanager/showexternal\" field=\"text\" checked=\"yes\" unchecked=\"no\"><span class=\"tc-small-gap-left\"><<lingo Names/External/Show>></span></$checkbox>\n\n<<palette-manager-table>>\n"
},
"$:/core/ui/PluginInfo": {
"title": "$:/core/ui/PluginInfo",
"text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"
},
"$:/core/ui/PluginInfo/Default/contents": {
"title": "$:/core/ui/PluginInfo/Default/contents",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link />\n</li>\n</$list>\n</ul>\n"
},
"$:/core/ui/PluginListItemTemplate": {
"title": "$:/core/ui/PluginListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}><$view field=\"description\"><$view field=\"title\"/></$view></$link>\n</div>"
},
"$:/core/ui/RootTemplate": {
"title": "$:/core/ui/RootTemplate",
"text": "<$transclude tiddler={{{ [{$:/layout}has[text]] ~[[$:/core/ui/PageTemplate]] }}} mode=\"inline\"/>\n\n"
},
"$:/core/ui/SearchResults": {
"title": "$:/core/ui/SearchResults",
"text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<currentTab>>/>\"\"\" explicitState=\"$:/state/tab/search-results/sidebar\"/>\n\n</$list>\n\n</div>\n"
},
"$:/core/ui/SideBar/More": {
"title": "$:/core/ui/SideBar/More",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/More/Caption}}",
"text": "<div class=\"tc-more-sidebar\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" default={{$:/config/DefaultMoreSidebarTab}} state=\"$:/state/tab/moresidebar\" class=\"tc-vertical tc-sidebar-tabs-more\" explicitState=\"$:/state/tab/moresidebar-1850697562\"/>\n</div>\n"
},
"$:/core/ui/SideBar/Open": {
"title": "$:/core/ui/SideBar/Open",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Open/Caption}}",
"text": "\\whitespace trim\n\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=<<tv-story-list>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define placeholder()\n<div class=\"tc-droppable-placeholder\"/>\n\\end\n\n\\define droppable-item(button)\n\\whitespace trim\n<$droppable actions=<<drop-actions>> enable=<<tv-allow-drag-and-drop>>>\n<<placeholder>>\n<div>\n$button$\n</div>\n</$droppable>\n\\end\n\n<div class=\"tc-sidebar-tab-open\">\n<$list filter=\"[list<tv-story-list>]\" history=<<tv-history-list>> storyview=\"pop\">\n<div class=\"tc-sidebar-tab-open-item\">\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini tc-small-gap-right\">{{$:/core/images/close-button}}</$button><$link to={{!!title}}><$view field=\"title\"/></$link>\"\"\"/>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<div>\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\"\"\"/>\n</div>\n</$tiddler>\n</div>\n"
},
"$:/core/ui/SideBar/Recent": {
"title": "$:/core/ui/SideBar/Recent",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/SideBar/Tools": {
"title": "$:/core/ui/SideBar/Tools",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/SideBarLists": {
"title": "$:/core/ui/SideBarLists",
"text": "<$transclude tiddler=\"$:/core/ui/SideBarSegments/search\"/>\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\"/>\n\n"
},
"$:/core/ui/SideBarSegments/page-controls": {
"title": "$:/core/ui/SideBarSegments/page-controls",
"tags": "$:/tags/SideBarSegment",
"text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
},
"$:/core/ui/SideBarSegments/search": {
"title": "$:/core/ui/SideBarSegments/search",
"tags": "$:/tags/SideBarSegment",
"text": "\\whitespace trim\n\n\\define count-popup-button()\n\\whitespace trim\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$(searchTiddler)$}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$vars userInput={{{ [<searchTiddler>get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}} replaceRegexp=\"limit\\[\\d+\\]\">\n<$vars primaryListFilter={{{ [<configTiddler>get[first-search-filter]search-replace:g:regexp<replaceRegexp>,[]] }}} secondaryListFilter={{{ [<configTiddler>get[second-search-filter]search-replace:g:regexp<replaceRegexp>,[]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[subfilter<primaryListFilter>] [subfilter<secondaryListFilter>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$vars>\n</$vars>\n</$list>\n</$button>\n\\end\n\n\\define search-results-list()\n\\whitespace trim\n<$vars userInput={{$(searchTiddler)$}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}}>\n<$list filter=\"[<userInput>minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$tiddler tiddler=<<configTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$tiddler>\n\n</$list>\n</$vars>\n\\end\n\n\\define cancel-search-actions() <$list filter=\"[<searchTiddler>get[text]!match{$:/temp/search}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/search]] [<searchTiddler>] [<searchListState>]\"/>\"\"\"><$action-setfield $tiddler=\"$:/temp/search\" text={{{ [<searchTiddler>get[text]] }}}/><$action-setfield $tiddler=\"$:/temp/search/refresh\" text=\"yes\"/></$list>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{ [<__tiddler__>get[text]] }}}/></$list></$list>\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/sidebar\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define advanced-search-actions() <$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search/input}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/search/input}}/><<delete-state-tiddlers>><$action-navigate $to=\"$:/AdvancedSearch\"/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\" preventScroll=\"true\"/><$action-deletetiddler $filter=\"$:/temp/search $:/temp/search/input $:/temp/search/refresh [<searchListState>]\"/>\n\n<div class=\"tc-sidebar-lists tc-sidebar-search\">\n\n<$vars editTiddler=\"$:/temp/search\" searchTiddler=\"$:/temp/search/input\" searchListState=<<qualify \"$:/state/search-list/selected-item\">>>\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$keyboard key=\"((advanced-search-sidebar))\" actions=<<advanced-search-actions>>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<editTiddler>> storeTitle=<<searchTiddler>> \n\t\tselectionStateTitle=<<searchListState>> refreshTitle=\"$:/temp/search/refresh\" type=\"search\" \n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> \n\t\tclass=\"tc-popup-handle\" filterMinLength={{$:/config/Search/MinLength}} inputCancelActions=<<cancel-search-actions>> \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> cancelPopups=\"yes\" \n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\"/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n<$reveal state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<<advanced-search-actions>>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>><$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n{{$:/core/images/close-button}}\n</$button>\n<<count-popup-button>>\n</$reveal>\n<$reveal state=<<searchTiddler>> type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<<search-results-list>>\n\n</$reveal>\n\n</$reveal>\n\n</$vars>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-subtitle": {
"title": "$:/core/ui/SideBarSegments/site-subtitle",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-title": {
"title": "$:/core/ui/SideBarSegments/site-title",
"tags": "$:/tags/SideBarSegment",
"text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
},
"$:/core/ui/SideBarSegments/tabs": {
"title": "$:/core/ui/SideBarSegments/tabs",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-sidebar-lists tc-sidebar-tabs\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"tc-sidebar-tabs-main\" explicitState=\"$:/state/tab/sidebar--595412856\"/>\n\n</div>\n"
},
"$:/core/ui/SwitcherModal": {
"title": "$:/core/ui/SwitcherModal",
"subtitle": "<$text text={{{[<switch>lookup[$:/language/Switcher/Subtitle/]]}}}/>",
"class": "tc-modal-centered",
"text": "<$tiddler tiddler={{{[<switch>lookup[$:/config/SwitcherTargets/]]}}}>\n\n\n<$transclude/>\n\n\n</$tiddler>"
},
"$:/TagManager": {
"title": "$:/TagManager",
"icon": "$:/core/images/tag-button",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n\\whitespace trim\n<$link to=\"\"><<lingo Icons/None>></$link>\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n\\whitespace trim\n<div class=\"tc-drop-down-wrapper\">\n<$button popupTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal stateTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=<<__title__>> icon=<<navigateTo>>/>\"\"\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define toggleButton(state)\n\\whitespace trim\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"closed\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"open\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n\\whitespace trim\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td>{{||$:/core/ui/TagTemplate}}</td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal stateTitle={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td style=\"position:relative;\">\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
},
"$:/core/ui/TagPickerTagTemplate": {
"title": "$:/core/ui/TagPickerTagTemplate",
"text": "\\whitespace trim\n<$button class=<<button-classes>> tag=\"a\" tooltip={{$:/language/EditTemplate/Tags/Add/Button/Hint}}>\n<$list filter=\"[<saveTiddler>minlength[1]]\">\n<$action-listops $tiddler=<<saveTiddler>> $field=<<tagField>> $subfilter=\"[<tag>]\"/>\n</$list>\n<$set name=\"currentTiddlerCSSEscaped\" value={{{ [<saveTiddler>escapecss[]] }}}>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-tagpicker-focus-selector>> preventScroll=\"true\"/>\n</$set>\n<<delete-tag-state-tiddlers>>\n<$list filter=\"[<refreshTitle>minlength[1]]\">\n<$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n</$list>\n<<actions>>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<$wikify name=\"foregroundColor\" text=\"\"\"<$macrocall $name=\"contrastcolour\" target={{!!color}} fallbackTarget=<<fallbackTarget>> colourA=<<colourA>> colourB=<<colourB>>/>\"\"\">\n<span class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n<$transclude tiddler={{!!icon}}/><$view field=\"title\" format=\"text\"/>\n</span>\n</$wikify>\n</$set>\n</$button>\n"
},
"$:/core/ui/TagTemplate": {
"title": "$:/core/ui/TagTemplate",
"text": "\\whitespace trim\n<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<hr>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n"
},
"$:/core/ui/TiddlerFieldTemplate": {
"title": "$:/core/ui/TiddlerFieldTemplate",
"text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
},
"$:/core/ui/TiddlerFields": {
"title": "$:/core/ui/TiddlerFields",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
},
"$:/core/ui/TiddlerInfo/Advanced": {
"title": "$:/core/ui/TiddlerInfo/Advanced",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Fields": {
"title": "$:/core/ui/TiddlerInfo/Fields",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
"text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
},
"$:/core/ui/TiddlerInfo/List": {
"title": "$:/core/ui/TiddlerInfo/List",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/List/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Listed": {
"title": "$:/core/ui/TiddlerInfo/Listed",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/References": {
"title": "$:/core/ui/TiddlerInfo/References",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/References/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>"
},
"$:/core/ui/TiddlerInfo/Tagging": {
"title": "$:/core/ui/TiddlerInfo/Tagging",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Tools": {
"title": "$:/core/ui/TiddlerInfo/Tools",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/TiddlerInfo": {
"title": "$:/core/ui/TiddlerInfo",
"text": "<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>\n"
},
"$:/core/ui/TopBar/menu": {
"title": "$:/core/ui/TopBar/menu",
"tags": "$:/tags/TopRightBar",
"text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible tc-hide-sidebar-btn\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible tc-show-sidebar-btn\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
},
"$:/core/ui/UntaggedTemplate": {
"title": "$:/core/ui/UntaggedTemplate",
"text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/body": {
"title": "$:/core/ui/ViewTemplate/body",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/classic": {
"title": "$:/core/ui/ViewTemplate/classic",
"tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/import": {
"title": "$:/core/ui/ViewTemplate/import",
"tags": "$:/tags/ViewTemplate",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define buttons()\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n<<lingo Listing/Preview>> <$select tiddler=\"$:/state/importpreviewtype\" default=\"$:/core/ui/ImportPreviews/Text\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ImportPreview]!has[draft.of]]\">\n<option value=<<currentTiddler>>>{{!!caption}}</option>\n</$list>\n</$select>\n\\end\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<<buttons>>\n\n{{||$:/core/ui/ImportListing}}\n\n<<buttons>>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ViewTemplate/plugin": {
"title": "$:/core/ui/ViewTemplate/plugin",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" class=\"tc-tiddler-plugin-info\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n<$set name=\"plugin-type\" value={{!!plugin-type}}>\n<$set name=\"default-popup-state\" value=\"yes\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n{{||$:/core/ui/Components/plugin-info}}\n</$set>\n</$set>\n</$set>\n</$list>\n</$reveal>"
},
"$:/core/ui/ViewTemplate/subtitle": {
"title": "$:/core/ui/ViewTemplate/subtitle",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}} />\n<$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/tags": {
"title": "$:/core/ui/ViewTemplate/tags",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/title": {
"title": "$:/core/ui/ViewTemplate/title",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<$list filter=\"[all[current]has[icon]]~[[$:/config/DefaultTiddlerIcon]has[text]]\">\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}>\n<$transclude tiddler={{$:/config/DefaultTiddlerIcon}}/>\n</$transclude>\n</span>\n</$list>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>"
},
"$:/core/ui/ViewTemplate/unfold": {
"title": "$:/core/ui/ViewTemplate/unfold",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate": {
"title": "$:/core/ui/ViewTemplate",
"text": "\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\define cancel-delete-tiddler-actions(message) <$action-sendmessage $message=\"tm-$message$-tiddler\"/>\n\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$vars storyTiddler=<<currentTiddler>> tiddlerInfoState=<<qualify \"$:/state/popup/tiddler-info\">>><div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-view-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[shadow]is[tiddler]then[tc-tiddler-overridden-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$vars>\n"
},
"$:/core/ui/Buttons/clone": {
"title": "$:/core/ui/Buttons/clone",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
"description": "{{$:/language/Buttons/Clone/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close-others": {
"title": "$:/core/ui/Buttons/close-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
"description": "{{$:/language/Buttons/CloseOthers/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close": {
"title": "$:/core/ui/Buttons/close",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
"description": "{{$:/language/Buttons/Close/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/edit": {
"title": "$:/core/ui/Buttons/edit",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
"description": "{{$:/language/Buttons/Edit/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/export-tiddler": {
"title": "$:/core/ui/Buttons/export-tiddler",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
"description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
"text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
},
"$:/core/ui/Buttons/fold-bar": {
"title": "$:/core/ui/Buttons/fold-bar",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}",
"description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
"text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
},
"$:/core/ui/Buttons/fold-others": {
"title": "$:/core/ui/Buttons/fold-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
"description": "{{$:/language/Buttons/FoldOthers/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/fold": {
"title": "$:/core/ui/Buttons/fold",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
"description": "{{$:/language/Buttons/Fold/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/info": {
"title": "$:/core/ui/Buttons/info",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
"description": "{{$:/language/Buttons/Info/Hint}}",
"text": "\\whitespace trim\n\\define button-content()\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"
},
"$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/core/ui/Buttons/more-tiddler-actions",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-here": {
"title": "$:/core/ui/Buttons/new-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
"description": "{{$:/language/Buttons/NewHere/Hint}}",
"text": "\\whitespace trim\n\\define newHereActions()\n<$set name=\"tags\" filter=\"[<currentTiddler>] [{$:/config/NewTiddler/Tags}]\">\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<tags>>/>\n</$set>\n\\end\n\\define newHereButton()\n<$button actions=<<newHereActions>> tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>\n"
},
"$:/core/ui/Buttons/new-journal-here": {
"title": "$:/core/ui/Buttons/new-journal-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
"description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
"text": "\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$wikify>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>\n"
},
"$:/core/ui/Buttons/open-window": {
"title": "$:/core/ui/Buttons/open-window",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
"description": "{{$:/language/Buttons/OpenWindow/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permalink": {
"title": "$:/core/ui/Buttons/permalink",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
"description": "{{$:/language/Buttons/Permalink/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permaview": {
"title": "$:/core/ui/Buttons/permaview",
"tags": "$:/tags/ViewToolbar $:/tags/PageControls",
"caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
"description": "{{$:/language/Buttons/Permaview/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/DefaultTiddlers": {
"title": "$:/DefaultTiddlers",
"text": "GettingStarted\n"
},
"$:/temp/advancedsearch": {
"title": "$:/temp/advancedsearch",
"text": ""
},
"$:/snippets/allfields": {
"title": "$:/snippets/allfields",
"text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
},
"$:/config/AnimationDuration": {
"title": "$:/config/AnimationDuration",
"text": "400"
},
"$:/config/AutoFocus": {
"title": "$:/config/AutoFocus",
"text": "title"
},
"$:/config/AutoSave": {
"title": "$:/config/AutoSave",
"text": "yes"
},
"$:/config/BitmapEditor/Colour": {
"title": "$:/config/BitmapEditor/Colour",
"text": "#444"
},
"$:/config/BitmapEditor/ImageSizes": {
"title": "$:/config/BitmapEditor/ImageSizes",
"text": "[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"
},
"$:/config/BitmapEditor/LineWidth": {
"title": "$:/config/BitmapEditor/LineWidth",
"text": "3px"
},
"$:/config/BitmapEditor/LineWidths": {
"title": "$:/config/BitmapEditor/LineWidths",
"text": "0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"
},
"$:/config/BitmapEditor/Opacities": {
"title": "$:/config/BitmapEditor/Opacities",
"text": "0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
},
"$:/config/BitmapEditor/Opacity": {
"title": "$:/config/BitmapEditor/Opacity",
"text": "1.0"
},
"$:/config/DefaultMoreSidebarTab": {
"title": "$:/config/DefaultMoreSidebarTab",
"text": "$:/core/ui/MoreSideBar/Tags"
},
"$:/config/DefaultSidebarTab": {
"title": "$:/config/DefaultSidebarTab",
"text": "$:/core/ui/SideBar/Open"
},
"$:/config/DownloadSaver/AutoSave": {
"title": "$:/config/DownloadSaver/AutoSave",
"text": "no"
},
"$:/config/Drafts/TypingTimeout": {
"title": "$:/config/Drafts/TypingTimeout",
"text": "400"
},
"$:/config/EditMode/fieldname-filter": {
"title": "$:/config/EditMode/fieldname-filter",
"first-search-filter": "[!is[shadow]!is[system]fields[]search:title<userInput>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type",
"second-search-filter": "[fields[]search:title<userInput>sort[]] -[!is[shadow]!is[system]fields[]]"
},
"$:/config/EditTabIndex": {
"title": "$:/config/EditTabIndex",
"text": "1\n"
},
"$:/config/EditTemplateFields/Visibility/title": {
"title": "$:/config/EditTemplateFields/Visibility/title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/tags": {
"title": "$:/config/EditTemplateFields/Visibility/tags",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/text": {
"title": "$:/config/EditTemplateFields/Visibility/text",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/creator": {
"title": "$:/config/EditTemplateFields/Visibility/creator",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/created": {
"title": "$:/config/EditTemplateFields/Visibility/created",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modified": {
"title": "$:/config/EditTemplateFields/Visibility/modified",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modifier": {
"title": "$:/config/EditTemplateFields/Visibility/modifier",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/type": {
"title": "$:/config/EditTemplateFields/Visibility/type",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.title": {
"title": "$:/config/EditTemplateFields/Visibility/draft.title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.of": {
"title": "$:/config/EditTemplateFields/Visibility/draft.of",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/revision": {
"title": "$:/config/EditTemplateFields/Visibility/revision",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/bag": {
"title": "$:/config/EditTemplateFields/Visibility/bag",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6",
"text": "hide"
},
"$:/config/EditorTypeMappings/image/gif": {
"title": "$:/config/EditorTypeMappings/image/gif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/webp": {
"title": "$:/config/EditorTypeMappings/image/webp",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heic": {
"title": "$:/config/EditorTypeMappings/image/heic",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heif": {
"title": "$:/config/EditorTypeMappings/image/heif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpeg": {
"title": "$:/config/EditorTypeMappings/image/jpeg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpg": {
"title": "$:/config/EditorTypeMappings/image/jpg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/png": {
"title": "$:/config/EditorTypeMappings/image/png",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/x-icon": {
"title": "$:/config/EditorTypeMappings/image/x-icon",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
"title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
"text": "text"
},
"$:/config/Manager/Show": {
"title": "$:/config/Manager/Show",
"text": "tiddlers"
},
"$:/config/Manager/Filter": {
"title": "$:/config/Manager/Filter",
"text": ""
},
"$:/config/Manager/Order": {
"title": "$:/config/Manager/Order",
"text": "forward"
},
"$:/config/Manager/Sort": {
"title": "$:/config/Manager/Sort",
"text": "title"
},
"$:/config/Manager/System": {
"title": "$:/config/Manager/System",
"text": "system"
},
"$:/config/Manager/Tag": {
"title": "$:/config/Manager/Tag",
"text": ""
},
"$:/state/popup/manager/item/$:/Manager/ItemMain/RawText": {
"title": "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText",
"text": "hide"
},
"$:/config/MissingLinks": {
"title": "$:/config/MissingLinks",
"text": "yes"
},
"$:/config/Navigation/UpdateAddressBar": {
"title": "$:/config/Navigation/UpdateAddressBar",
"text": "no"
},
"$:/config/Navigation/UpdateHistory": {
"title": "$:/config/Navigation/UpdateHistory",
"text": "no"
},
"$:/config/NewImageType": {
"title": "$:/config/NewImageType",
"text": "jpeg"
},
"$:/config/OfficialPluginLibrary": {
"title": "$:/config/OfficialPluginLibrary",
"tags": "$:/tags/PluginLibrary",
"url": "https://tiddlywiki.com/library/v5.1.23/index.html",
"caption": "{{$:/language/OfficialPluginLibrary}}",
"text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
},
"$:/config/Navigation/openLinkFromInsideRiver": {
"title": "$:/config/Navigation/openLinkFromInsideRiver",
"text": "below"
},
"$:/config/Navigation/openLinkFromOutsideRiver": {
"title": "$:/config/Navigation/openLinkFromOutsideRiver",
"text": "top"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
"text": "hide"
},
"$:/config/Performance/Instrumentation": {
"title": "$:/config/Performance/Instrumentation",
"text": "no"
},
"$:/config/RegisterPluginType/plugin": {
"title": "$:/config/RegisterPluginType/plugin",
"text": "yes"
},
"$:/config/RegisterPluginType/theme": {
"title": "$:/config/RegisterPluginType/theme",
"text": "no"
},
"$:/config/RegisterPluginType/language": {
"title": "$:/config/RegisterPluginType/language",
"text": "no"
},
"$:/config/RegisterPluginType/info": {
"title": "$:/config/RegisterPluginType/info",
"text": "yes"
},
"$:/config/RegisterPluginType/import": {
"title": "$:/config/RegisterPluginType/import",
"text": "no"
},
"$:/config/SaveWikiButton/Template": {
"title": "$:/config/SaveWikiButton/Template",
"text": "$:/core/save/all"
},
"$:/config/SaverFilter": {
"title": "$:/config/SaverFilter",
"text": "[all[]] -[prefix[$:/HistoryList]] -[prefix[$:/StoryList]] -[status[pending]plugin-type[import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]\n"
},
"$:/config/Search/AutoFocus": {
"title": "$:/config/Search/AutoFocus",
"text": "true"
},
"$:/config/Search/MinLength": {
"title": "$:/config/Search/MinLength",
"text": "3"
},
"$:/config/SearchResults/Default": {
"title": "$:/config/SearchResults/Default",
"text": "$:/core/ui/DefaultSearchResultList"
},
"$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]": {
"title": "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]",
"text": "yes"
},
"$:/config/ShortcutInfo/add-field": {
"title": "$:/config/ShortcutInfo/add-field",
"text": "{{$:/language/EditTemplate/Fields/Add/Button/Hint}}"
},
"$:/config/ShortcutInfo/advanced-search": {
"title": "$:/config/ShortcutInfo/advanced-search",
"text": "{{$:/language/Buttons/AdvancedSearch/Hint}}"
},
"$:/config/ShortcutInfo/advanced-search-sidebar": {
"title": "$:/config/ShortcutInfo/advanced-search-sidebar",
"text": "{{$:/language/Shortcuts/Input/AdvancedSearch/Hint}}"
},
"$:/config/ShortcutInfo/bold": {
"title": "$:/config/ShortcutInfo/bold",
"text": "{{$:/language/Buttons/Bold/Hint}}"
},
"$:/config/ShortcutInfo/cancel-edit-tiddler": {
"title": "$:/config/ShortcutInfo/cancel-edit-tiddler",
"text": "{{$:/language/Buttons/Cancel/Hint}}"
},
"$:/config/ShortcutInfo/change-sidebar-layout": {
"title": "$:/config/ShortcutInfo/change-sidebar-layout",
"text": "{{$:/language/Shortcuts/SidebarLayout/Hint}}"
},
"$:/config/ShortcutInfo/delete-field": {
"title": "$:/config/ShortcutInfo/delete-field",
"text": "{{$:/language/EditTemplate/Field/Remove/Hint}}"
},
"$:/config/ShortcutInfo/excise": {
"title": "$:/config/ShortcutInfo/excise",
"text": "{{$:/language/Buttons/Excise/Hint}}"
},
"$:/config/ShortcutInfo/heading-1": {
"title": "$:/config/ShortcutInfo/heading-1",
"text": "{{$:/language/Buttons/Heading1/Hint}}"
},
"$:/config/ShortcutInfo/heading-2": {
"title": "$:/config/ShortcutInfo/heading-2",
"text": "{{$:/language/Buttons/Heading2/Hint}}"
},
"$:/config/ShortcutInfo/heading-3": {
"title": "$:/config/ShortcutInfo/heading-3",
"text": "{{$:/language/Buttons/Heading3/Hint}}"
},
"$:/config/ShortcutInfo/heading-4": {
"title": "$:/config/ShortcutInfo/heading-4",
"text": "{{$:/language/Buttons/Heading4/Hint}}"
},
"$:/config/ShortcutInfo/heading-5": {
"title": "$:/config/ShortcutInfo/heading-5",
"text": "{{$:/language/Buttons/Heading5/Hint}}"
},
"$:/config/ShortcutInfo/heading-6": {
"title": "$:/config/ShortcutInfo/heading-6",
"text": "{{$:/language/Buttons/Heading6/Hint}}"
},
"$:/config/ShortcutInfo/input-accept": {
"title": "$:/config/ShortcutInfo/input-accept",
"text": "{{$:/language/Shortcuts/Input/Accept/Hint}}"
},
"$:/config/ShortcutInfo/input-accept-variant": {
"title": "$:/config/ShortcutInfo/input-accept-variant",
"text": "{{$:/language/Shortcuts/Input/AcceptVariant/Hint}}"
},
"$:/config/ShortcutInfo/input-cancel": {
"title": "$:/config/ShortcutInfo/input-cancel",
"text": "{{$:/language/Shortcuts/Input/Cancel/Hint}}"
},
"$:/config/ShortcutInfo/input-down": {
"title": "$:/config/ShortcutInfo/input-down",
"text": "{{$:/language/Shortcuts/Input/Down/Hint}}"
},
"$:/config/ShortcutInfo/input-tab-left": {
"title": "$:/config/ShortcutInfo/input-tab-left",
"text": "{{$:/language/Shortcuts/Input/Tab-Left/Hint}}"
},
"$:/config/ShortcutInfo/input-tab-right": {
"title": "$:/config/ShortcutInfo/input-tab-right",
"text": "{{$:/language/Shortcuts/Input/Tab-Right/Hint}}"
},
"$:/config/ShortcutInfo/input-up": {
"title": "$:/config/ShortcutInfo/input-up",
"text": "{{$:/language/Shortcuts/Input/Up/Hint}}"
},
"$:/config/ShortcutInfo/italic": {
"title": "$:/config/ShortcutInfo/italic",
"text": "{{$:/language/Buttons/Italic/Hint}}"
},
"$:/config/ShortcutInfo/layout-switcher": {
"title": "$:/config/ShortcutInfo/layout-switcher",
"text": "{{$:/language/LayoutSwitcher/Description}}"
},
"$:/config/ShortcutInfo/link": {
"title": "$:/config/ShortcutInfo/link",
"text": "{{$:/language/Buttons/Link/Hint}}"
},
"$:/config/ShortcutInfo/linkify": {
"title": "$:/config/ShortcutInfo/linkify",
"text": "{{$:/language/Buttons/Linkify/Hint}}"
},
"$:/config/ShortcutInfo/list-bullet": {
"title": "$:/config/ShortcutInfo/list-bullet",
"text": "{{$:/language/Buttons/ListBullet/Hint}}"
},
"$:/config/ShortcutInfo/list-number": {
"title": "$:/config/ShortcutInfo/list-number",
"text": "{{$:/language/Buttons/ListNumber/Hint}}"
},
"$:/config/ShortcutInfo/mono-block": {
"title": "$:/config/ShortcutInfo/mono-block",
"text": "{{$:/language/Buttons/MonoBlock/Hint}}"
},
"$:/config/ShortcutInfo/mono-line": {
"title": "$:/config/ShortcutInfo/mono-line",
"text": "{{$:/language/Buttons/MonoLine/Hint}}"
},
"$:/config/ShortcutInfo/new-image": {
"title": "$:/config/ShortcutInfo/new-image",
"text": "{{$:/language/Buttons/NewImage/Hint}}"
},
"$:/config/ShortcutInfo/new-journal": {
"title": "$:/config/ShortcutInfo/new-journal",
"text": "{{$:/language/Buttons/NewJournal/Hint}}"
},
"$:/config/ShortcutInfo/new-tiddler": {
"title": "$:/config/ShortcutInfo/new-tiddler",
"text": "{{$:/language/Buttons/NewTiddler/Hint}}"
},
"$:/config/ShortcutInfo/picture": {
"title": "$:/config/ShortcutInfo/picture",
"text": "{{$:/language/Buttons/Picture/Hint}}"
},
"$:/config/ShortcutInfo/preview": {
"title": "$:/config/ShortcutInfo/preview",
"text": "{{$:/language/Buttons/Preview/Hint}}"
},
"$:/config/ShortcutInfo/quote": {
"title": "$:/config/ShortcutInfo/quote",
"text": "{{$:/language/Buttons/Quote/Hint}}"
},
"$:/config/ShortcutInfo/save-tiddler": {
"title": "$:/config/ShortcutInfo/save-tiddler",
"text": "{{$:/language/Buttons/Save/Hint}}"
},
"$:/config/ShortcutInfo/save-wiki": {
"title": "$:/config/ShortcutInfo/save-wiki",
"text": "{{$:/language/Buttons/SaveWiki/Hint}}"
},
"$:/config/ShortcutInfo/sidebar-search": {
"title": "$:/config/ShortcutInfo/sidebar-search",
"text": "{{$:/language/Buttons/SidebarSearch/Hint}}"
},
"$:/config/ShortcutInfo/stamp": {
"title": "$:/config/ShortcutInfo/stamp",
"text": "{{$:/language/Buttons/Stamp/Hint}}"
},
"$:/config/ShortcutInfo/strikethrough": {
"title": "$:/config/ShortcutInfo/strikethrough",
"text": "{{$:/language/Buttons/Strikethrough/Hint}}"
},
"$:/config/ShortcutInfo/subscript": {
"title": "$:/config/ShortcutInfo/subscript",
"text": "{{$:/language/Buttons/Subscript/Hint}}"
},
"$:/config/ShortcutInfo/superscript": {
"title": "$:/config/ShortcutInfo/superscript",
"text": "{{$:/language/Buttons/Superscript/Hint}}"
},
"$:/config/ShortcutInfo/toggle-sidebar": {
"title": "$:/config/ShortcutInfo/toggle-sidebar",
"text": "{{$:/language/Buttons/ToggleSidebar/Hint}}"
},
"$:/config/ShortcutInfo/transcludify": {
"title": "$:/config/ShortcutInfo/transcludify",
"text": "{{$:/language/Buttons/Transcludify/Hint}}"
},
"$:/config/ShortcutInfo/underline": {
"title": "$:/config/ShortcutInfo/underline",
"text": "{{$:/language/Buttons/Underline/Hint}}"
},
"$:/config/SwitcherTargets/layout": {
"title": "$:/config/SwitcherTargets/layout",
"text": "$:/snippets/LayoutSwitcher"
},
"$:/config/SwitcherTargets/language": {
"title": "$:/config/SwitcherTargets/language",
"text": "$:/snippets/languageswitcher"
},
"$:/config/SwitcherTargets/palette": {
"title": "$:/config/SwitcherTargets/palette",
"text": "$:/core/ui/ControlPanel/Palette"
},
"$:/config/SwitcherTargets/theme": {
"title": "$:/config/SwitcherTargets/theme",
"text": "$:/core/ui/ControlPanel/Theme"
},
"$:/config/SyncFilter": {
"title": "$:/config/SyncFilter",
"text": "[is[tiddler]] -[[$:/core]] -[[$:/library/sjcl.js]] -[prefix[$:/boot/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]\n"
},
"$:/config/SyncSystemTiddlersFromServer": {
"title": "$:/config/SyncSystemTiddlersFromServer",
"text": "no"
},
"$:/config/Tags/MinLength": {
"title": "$:/config/Tags/MinLength",
"text": "0"
},
"$:/config/TextEditor/EditorHeight/Height": {
"title": "$:/config/TextEditor/EditorHeight/Height",
"text": "400px"
},
"$:/config/TextEditor/EditorHeight/Mode": {
"title": "$:/config/TextEditor/EditorHeight/Mode",
"text": "auto"
},
"$:/config/TiddlerInfo/Default": {
"title": "$:/config/TiddlerInfo/Default",
"text": "$:/core/ui/TiddlerInfo/Fields"
},
"$:/config/TiddlerInfo/Mode": {
"title": "$:/config/TiddlerInfo/Mode",
"text": "popup"
},
"$:/config/Tiddlers/TitleLinks": {
"title": "$:/config/Tiddlers/TitleLinks",
"text": "no"
},
"$:/config/Toolbar/ButtonClass": {
"title": "$:/config/Toolbar/ButtonClass",
"text": "tc-btn-invisible"
},
"$:/config/Toolbar/Icons": {
"title": "$:/config/Toolbar/Icons",
"text": "yes"
},
"$:/config/Toolbar/Text": {
"title": "$:/config/Toolbar/Text",
"text": "no"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
"text": "show"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
"text": "hide"
},
"$:/config/shortcuts-mac/bold": {
"title": "$:/config/shortcuts-mac/bold",
"text": "meta-B"
},
"$:/config/shortcuts-mac/input-tab-left": {
"title": "$:/config/shortcuts-mac/input-tab-left",
"text": "ctrl-Left"
},
"$:/config/shortcuts-mac/input-tab-right": {
"title": "$:/config/shortcuts-mac/input-tab-right",
"text": "ctrl-Right"
},
"$:/config/shortcuts-mac/italic": {
"title": "$:/config/shortcuts-mac/italic",
"text": "meta-I"
},
"$:/config/shortcuts-mac/underline": {
"title": "$:/config/shortcuts-mac/underline",
"text": "meta-U"
},
"$:/config/shortcuts-mac/new-image": {
"title": "$:/config/shortcuts-mac/new-image",
"text": "ctrl-I"
},
"$:/config/shortcuts-mac/new-journal": {
"title": "$:/config/shortcuts-mac/new-journal",
"text": "ctrl-J"
},
"$:/config/shortcuts-mac/new-tiddler": {
"title": "$:/config/shortcuts-mac/new-tiddler",
"text": "ctrl-N"
},
"$:/config/shortcuts-mac/save-wiki": {
"title": "$:/config/shortcuts-mac/save-wiki",
"text": "meta-S"
},
"$:/config/shortcuts-not-mac/bold": {
"title": "$:/config/shortcuts-not-mac/bold",
"text": "ctrl-B"
},
"$:/config/shortcuts-not-mac/italic": {
"title": "$:/config/shortcuts-not-mac/italic",
"text": "ctrl-I"
},
"$:/config/shortcuts-not-mac/underline": {
"title": "$:/config/shortcuts-not-mac/underline",
"text": "ctrl-U"
},
"$:/config/shortcuts-not-mac/new-image": {
"title": "$:/config/shortcuts-not-mac/new-image",
"text": "alt-I"
},
"$:/config/shortcuts-not-mac/new-journal": {
"title": "$:/config/shortcuts-not-mac/new-journal",
"text": "alt-J"
},
"$:/config/shortcuts-not-mac/new-tiddler": {
"title": "$:/config/shortcuts-not-mac/new-tiddler",
"text": "alt-N"
},
"$:/config/shortcuts/add-field": {
"title": "$:/config/shortcuts/add-field",
"text": "enter"
},
"$:/config/shortcuts/advanced-search": {
"title": "$:/config/shortcuts/advanced-search",
"text": "ctrl-shift-A"
},
"$:/config/shortcuts/advanced-search-sidebar": {
"title": "$:/config/shortcuts/advanced-search-sidebar",
"text": "alt-Enter"
},
"$:/config/shortcuts/cancel-edit-tiddler": {
"title": "$:/config/shortcuts/cancel-edit-tiddler",
"text": "escape"
},
"$:/config/shortcuts/change-sidebar-layout": {
"title": "$:/config/shortcuts/change-sidebar-layout",
"text": "shift-alt-Down"
},
"$:/config/shortcuts/delete-field": {
"title": "$:/config/shortcuts/delete-field",
"text": "shift-alt-D"
},
"$:/config/shortcuts/excise": {
"title": "$:/config/shortcuts/excise",
"text": "ctrl-E"
},
"$:/config/shortcuts/sidebar-search": {
"title": "$:/config/shortcuts/sidebar-search",
"text": "ctrl-shift-F"
},
"$:/config/shortcuts/heading-1": {
"title": "$:/config/shortcuts/heading-1",
"text": "ctrl-1"
},
"$:/config/shortcuts/heading-2": {
"title": "$:/config/shortcuts/heading-2",
"text": "ctrl-2"
},
"$:/config/shortcuts/heading-3": {
"title": "$:/config/shortcuts/heading-3",
"text": "ctrl-3"
},
"$:/config/shortcuts/heading-4": {
"title": "$:/config/shortcuts/heading-4",
"text": "ctrl-4"
},
"$:/config/shortcuts/heading-5": {
"title": "$:/config/shortcuts/heading-5",
"text": "ctrl-5"
},
"$:/config/shortcuts/heading-6": {
"title": "$:/config/shortcuts/heading-6",
"text": "ctrl-6"
},
"$:/config/shortcuts/input-accept": {
"title": "$:/config/shortcuts/input-accept",
"text": "Enter"
},
"$:/config/shortcuts/input-accept-variant": {
"title": "$:/config/shortcuts/input-accept-variant",
"text": "ctrl-Enter"
},
"$:/config/shortcuts/input-cancel": {
"title": "$:/config/shortcuts/input-cancel",
"text": "Escape"
},
"$:/config/shortcuts/input-down": {
"title": "$:/config/shortcuts/input-down",
"text": "Down"
},
"$:/config/shortcuts/input-tab-left": {
"title": "$:/config/shortcuts/input-tab-left",
"text": "alt-Left"
},
"$:/config/shortcuts/input-tab-right": {
"title": "$:/config/shortcuts/input-tab-right",
"text": "alt-Right"
},
"$:/config/shortcuts/input-up": {
"title": "$:/config/shortcuts/input-up",
"text": "Up"
},
"$:/config/shortcuts/layout-switcher": {
"title": "$:/config/shortcuts/layout-switcher",
"text": "ctrl-shift-L"
},
"$:/config/shortcuts/link": {
"title": "$:/config/shortcuts/link",
"text": "ctrl-L"
},
"$:/config/shortcuts/linkify": {
"title": "$:/config/shortcuts/linkify",
"text": "alt-shift-L"
},
"$:/config/shortcuts/list-bullet": {
"title": "$:/config/shortcuts/list-bullet",
"text": "ctrl-shift-L"
},
"$:/config/shortcuts/list-number": {
"title": "$:/config/shortcuts/list-number",
"text": "ctrl-shift-N"
},
"$:/config/shortcuts/mono-block": {
"title": "$:/config/shortcuts/mono-block",
"text": "ctrl-shift-M"
},
"$:/config/shortcuts/mono-line": {
"title": "$:/config/shortcuts/mono-line",
"text": "ctrl-M"
},
"$:/config/shortcuts/picture": {
"title": "$:/config/shortcuts/picture",
"text": "ctrl-shift-I"
},
"$:/config/shortcuts/preview": {
"title": "$:/config/shortcuts/preview",
"text": "alt-P"
},
"$:/config/shortcuts/quote": {
"title": "$:/config/shortcuts/quote",
"text": "ctrl-Q"
},
"$:/config/shortcuts/save-tiddler": {
"title": "$:/config/shortcuts/save-tiddler",
"text": "ctrl+enter"
},
"$:/config/shortcuts/save-wiki": {
"title": "$:/config/shortcuts/save-wiki",
"text": "ctrl-S"
},
"$:/config/shortcuts/stamp": {
"title": "$:/config/shortcuts/stamp",
"text": "ctrl-S"
},
"$:/config/shortcuts/strikethrough": {
"title": "$:/config/shortcuts/strikethrough",
"text": "ctrl-T"
},
"$:/config/shortcuts/subscript": {
"title": "$:/config/shortcuts/subscript",
"text": "ctrl-shift-B"
},
"$:/config/shortcuts/superscript": {
"title": "$:/config/shortcuts/superscript",
"text": "ctrl-shift-P"
},
"$:/config/shortcuts/toggle-sidebar": {
"title": "$:/config/shortcuts/toggle-sidebar",
"text": "alt-shift-S"
},
"$:/config/shortcuts/transcludify": {
"title": "$:/config/shortcuts/transcludify",
"text": "alt-shift-T"
},
"$:/config/ui/EditTemplate": {
"title": "$:/config/ui/EditTemplate",
"text": "$:/core/ui/EditTemplate"
},
"$:/config/ui/ViewTemplate": {
"title": "$:/config/ui/ViewTemplate",
"text": "$:/core/ui/ViewTemplate"
},
"$:/config/WikiParserRules/Inline/wikilink": {
"title": "$:/config/WikiParserRules/Inline/wikilink",
"text": "enable"
},
"$:/snippets/currpalettepreview": {
"title": "$:/snippets/currpalettepreview",
"text": "\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch-inner()\n<$set name=\"swatchColour\" value={{##$(colourResolved)$}}>\n<$list filter=\"[<swatchColour>!prefix[<<colour ]!suffix[>>]]\" variable=\"ignore\">\n<div class=\"tc-swatch\" style=<<swatchStyle>> title=<<swatchTitle>>/>\n</$list>\n<$list filter=\"[<swatchColour>prefix[<<colour ]suffix[>>]]\" variable=\"ignore\">\n<$wikify name=\"colourResolved\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall=<<swatchColour>>/>\"\"\">\n<<swatch-inner>>\n</$wikify>\n</$list>\n</$set>\n\\end\n\\define swatch()\n<$set name=\"swatchColour\" value={{##$(colour)$}}>\n<$set name=\"swatchTitle\" value=<<colour>>>\n<$list filter=\"[<swatchColour>!prefix[<<colour ]!suffix[>>]]\" variable=\"ignore\">\n<div class=\"tc-swatch\" style=<<swatchStyle>> title=<<swatchTitle>>/>\n</$list>\n<$list filter=\"[<swatchColour>prefix[<<colour ]suffix[>>]]\" variable=\"ignore\">\n<$wikify name=\"colourResolved\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall=<<swatchColour>>/>\"\"\">\n<<swatch-inner>>\n</$wikify>\n</$list>\n</$set>\n</$set>\n\\end\n<div class=\"tc-swatches-horiz\"><$list filter=\"\nforeground\nbackground\nmuted-foreground\nprimary\npage-background\ntab-background\ntiddler-info-background\n\" variable=\"colour\"><<swatch>></$list></div>\n"
},
"$:/snippets/download-wiki-button": {
"title": "$:/snippets/download-wiki-button",
"text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
},
"$:/language": {
"title": "$:/language",
"text": "$:/languages/en-GB"
},
"$:/snippets/languageswitcher": {
"title": "$:/snippets/languageswitcher",
"text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n\n<$linkcatcher to=\"$:/language\">\n<div class=\"tc-chooser tc-language-chooser\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/language}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/macros/CSS": {
"title": "$:/core/macros/CSS",
"tags": "$:/tags/Macro",
"text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"><$transclude tiddler=\"$:/config/DefaultColourMappings/$name$\"/></$transclude></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n -webkit-box-shadow: $shadow$;\n -moz-box-shadow: $shadow$;\n box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n -webkit-filter: $filter$;\n -moz-filter: $filter$;\n filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n -webkit-transition: $transition$;\n -moz-transition: $transition$;\n transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n -webkit-transform-origin: $origin$;\n -moz-transform-origin: $origin$;\n transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}} _canonical_uri={{$title$!!_canonical_uri}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-background-attachment(text)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" type=\"nomatch\" text=\"\">$text$</$reveal>\n\\end\n"
},
"$:/core/macros/colour-picker": {
"title": "$:/core/macros/colour-picker",
"tags": "$:/tags/Macro",
"text": "\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n$actions$\n\n<span style=\"display:inline-block; background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n{{$:/language/ColourPicker/Recent}} <$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n<$macrocall $name=\"colour-picker-recent-inner\" actions=\"\"\"$actions$\"\"\"/></$list>\n\\end\n\n\\define colour-picker(actions)\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=\"\"\"$actions$\"\"\"/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/>\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\n</div>\n\n\\end\n"
},
"$:/core/macros/copy-to-clipboard": {
"title": "$:/core/macros/copy-to-clipboard",
"tags": "$:/tags/Macro",
"text": "\\define copy-to-clipboard(src,class:\"tc-btn-invisible\",style)\n<$button class=<<__class__>> style=<<__style__>> message=\"tm-copy-to-clipboard\" param=<<__src__>> tooltip={{$:/language/Buttons/CopyToClipboard/Hint}}>\n{{$:/core/images/copy-clipboard}} <$text text={{$:/language/Buttons/CopyToClipboard/Caption}}/>\n</$button>\n\\end\n\n\\define copy-to-clipboard-above-right(src,class:\"tc-btn-invisible\",style)\n<div style=\"position: relative;\">\n<div style=\"position: absolute; bottom: 0; right: 0;\">\n<$macrocall $name=\"copy-to-clipboard\" src=<<__src__>> class=<<__class__>> style=<<__style__>>/>\n</div>\n</div>\n\\end\n\n"
},
"$:/core/macros/diff": {
"title": "$:/core/macros/diff",
"tags": "$:/tags/Macro",
"text": "\\define compareTiddlerText(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle)\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>>>\n<$diff-text source=<<source>> dest=<<dest>>/>\n</$set>\n</$set>\n\\end\n\n\\define compareTiddlers(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle,exclude)\n<table class=\"tc-diff-tiddlers\">\n<tbody>\n<$set name=\"sourceFields\" filter=\"[<__sourceTiddlerTitle__>fields[]sort[]]\">\n<$set name=\"destFields\" filter=\"[<__destSubTiddlerTitle__>subtiddlerfields<__destTiddlerTitle__>sort[]]\">\n<$list filter=\"[enlist<sourceFields>] [enlist<destFields>] -[enlist<__exclude__>] +[sort[]]\" variable=\"fieldName\">\n<tr>\n<th>\n<$text text=<<fieldName>>/> \n</th>\n<td>\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>> field=<<fieldName>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>> field=<<fieldName>>>\n<$diff-text source=<<source>> dest=<<dest>>>\n</$diff-text>\n</$set>\n</$set>\n</td>\n</tr>\n</$list>\n</$set>\n</$set>\n</tbody>\n</table>\n\\end\n"
},
"$:/core/macros/dumpvariables": {
"title": "$:/core/macros/dumpvariables",
"tags": "$:/tags/Macro",
"text": "\\define dumpvariables()\n<ul>\n<$list filter=\"[variables[]]\" variable=\"varname\">\n<li>\n<strong><code><$text text=<<varname>>/></code></strong>:<br/>\n<$codeblock code={{{ [<varname>getvariable[]] }}}/>\n</li>\n</$list>\n</ul>\n\\end\n"
},
"$:/core/macros/export": {
"title": "$:/core/macros/export",
"tags": "$:/tags/Macro",
"text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button></span><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$set name=\"count\" value={{{ [subfilter<__exportFilter__>count[]] }}}>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$list filter=\"[<currentTiddler>has[condition]subfilter{!!condition}limit[1]] ~[<currentTiddler>!has[condition]then[true]]\" variable=\"ignore\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=<<__exportFilter__>> filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</$list>\n</$set>\n</div>\n</$reveal>\n\\end\n"
},
"$:/core/macros/image-picker": {
"title": "$:/core/macros/image-picker",
"created": "20170715180840889",
"modified": "20170715180914005",
"tags": "$:/tags/Macro",
"type": "text/vnd.tiddlywiki",
"text": "\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\">\n$actions$\n<$transclude tiddler=<<imageTitle>>/>\n</$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n"
},
"$:/core/macros/keyboard-driven-input": {
"title": "$:/core/macros/keyboard-driven-input",
"tags": "$:/tags/Macro",
"text": "\\define change-input-tab(stateTitle,tag,beforeafter,defaultState,actions)\n<$set name=\"tabsList\" filter=\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]]\">\n<$vars currentState={{{ [<__stateTitle__>!is[missing]get[text]] ~[<__defaultState__>] }}} firstTab={{{ [enlist<tabsList>nth[1]] }}} lastTab={{{ [enlist<tabsList>last[]] }}}>\n<$set name=\"nextTab\" value={{{ [all[shadows+tiddlers]tag<__tag__>!has[draft.of]$beforeafter$<currentState>] ~[[$beforeafter$]removeprefix[after]suffix[]addprefix<firstTab>] ~[[$beforeafter$]removeprefix[before]suffix[]addprefix<lastTab>] }}}>\n<$action-setfield $tiddler=<<__stateTitle__>> text=<<nextTab>>/>\n$actions$\n</$set>\n</$vars>\n</$set>\n\\end\n\n\\define keyboard-input-actions()\n<$list filter=\"[<__index__>match[]]\">\n<$action-setfield $tiddler=<<__storeTitle__>> text={{{ [<__tiddler__>get<__field__>] }}}/>\n</$list>\n<$list filter=\"[<__index__>!match[]]\">\n<$action-setfield $tiddler=<<__storeTitle__>> text={{{ [<__tiddler__>getindex<__index__>] }}}/>\n</$list>\n\\end\n\n\\define input-next-actions-inner()\n<$list filter=\"[<nextItem>minlength[1]]\" variable=\"ignore\">\n<$action-setfield $tiddler=<<__selectionStateTitle__>> text=<<nextItem>>/>\n<$list filter=\"[<__index__>match[]]\">\n<$action-setfield $tiddler=<<__tiddler__>> $field=<<__field__>> $value={{{ [<nextItem>] +[splitregexp[(?:.(?!-))+$]] }}}/>\n</$list>\n<$list filter=\"[<__index__>!match[]]\">\n<$action-setfield $tiddler=<<__tiddler__>> $index=<<__index__>> $value={{{ [<nextItem>] +[splitregexp[(?:.(?!-))+$]] }}}/>\n</$list>\n<$action-setfield $tiddler=<<__refreshTitle__>> text=\"yes\"/>\n</$list>\n\\end\n\n\\define input-next-actions(afterOrBefore:\"after\",reverse:\"\")\n<$list filter=\"[<__storeTitle__>get[text]minlength<__filterMinLength__>] [<__filterMinLength__>match[0]] +[limit[1]]\" variable=\"ignore\">\n<$vars userInput={{{ [<__storeTitle__>get[text]] }}} selectedItem={{{ [<__selectionStateTitle__>get[text]] }}}>\n<$set name=\"configTiddler\" value={{{ [subfilter<__configTiddlerFilter__>] }}}>\n<$vars primaryListFilter={{{ [<configTiddler>get<__firstSearchFilterField__>] }}} secondaryListFilter={{{ [<configTiddler>get<__secondSearchFilterField__>] }}}>\n<$set name=\"filteredList\" filter=\"[subfilter<primaryListFilter>addsuffix[-primaryList]] =[subfilter<secondaryListFilter>addsuffix[-secondaryList]]\">\n<$vars nextItem={{{ [enlist<filteredList>$afterOrBefore$<selectedItem>] ~[enlist<filteredList>$reverse$nth[1]] }}} firstItem={{{ [enlist<filteredList>nth[1]] }}} lastItem={{{ [enlist<filteredList>last[]] }}}>\n<$list filter=\"[<selectedItem>match<firstItem>!match<lastItem>]\" variable=\"ignore\">\n<$set name=\"nextItem\" value={{{ [[$afterOrBefore$]match[before]then<userInput>addsuffix[-userInput]] ~[<nextItem>] }}}>\n<<input-next-actions-inner>>\n</$set>\n</$list>\n<$list filter=\"[<selectedItem>match<lastItem>!match<firstItem>]\" variable=\"ignore\">\n<$set name=\"nextItem\" value={{{ [[$afterOrBefore$]match[after]then<userInput>addsuffix[-userInput]] ~[<nextItem>] }}}>\n<<input-next-actions-inner>>\n</$set>\n</$list>\n<$list filter=\"[<selectedItem>match<firstItem>match<lastItem>]\" variable=\"ignore\">\n<$set name=\"nextItem\" value={{{ [<userInput>addsuffix[-userInput]] }}}>\n<<input-next-actions-inner>>\n</$set>\n</$list>\n<$list filter=\"[<selectedItem>!match<firstItem>!match<lastItem>]\" variable=\"ignore\">\n<<input-next-actions-inner>>\n</$list>\n</$vars>\n</$set>\n</$vars>\n</$set>\n</$vars>\n</$list>\n\\end\n\n\\define keyboard-driven-input(tiddler,storeTitle,field:\"text\",index:\"\",tag:\"input\",type,focus:\"\",inputAcceptActions,inputAcceptVariantActions,inputCancelActions,placeholder:\"\",default:\"\",class,focusPopup,rows,minHeight,tabindex,size,autoHeight,filterMinLength:\"0\",refreshTitle,selectionStateTitle,cancelPopups:\"\",configTiddlerFilter,firstSearchFilterField:\"first-search-filter\",secondSearchFilterField:\"second-search-filter\")\n\\whitespace trim\n<$keyboard key=\"((input-accept))\" actions=<<__inputAcceptActions__>>>\n<$keyboard key=\"((input-accept-variant))\" actions=<<__inputAcceptVariantActions__>>>\n<$keyboard key=\"((input-up))\" actions=<<input-next-actions \"before\" \"reverse[]\">>>\n<$keyboard key=\"((input-down))\" actions=<<input-next-actions>>>\n<$keyboard key=\"((input-cancel))\" actions=<<__inputCancelActions__>>>\n<$edit-text tiddler=<<__tiddler__>> field=<<__field__>> index=<<__index__>> \n\t\tinputActions=<<keyboard-input-actions>> tag=<<__tag__>> class=<<__class__>> \n\t\tplaceholder=<<__placeholder__>> default=<<__default__>> focusPopup=<<__focusPopup__>> \n\t\tfocus=<<__focus__>> type=<<__type__>> rows=<<__rows__>> minHeight=<<__minHeight__>> \n\t\ttabindex=<<__tabindex__>> size=<<__size__>> autoHeight=<<__autoHeight__>> \n\t\trefreshTitle=<<__refreshTitle__>> cancelPopups=<<__cancelPopups__>>/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n\\end\n"
},
"$:/core/macros/lingo": {
"title": "$:/core/macros/lingo",
"tags": "$:/tags/Macro",
"text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
},
"$:/core/macros/list": {
"title": "$:/core/macros/list",
"tags": "$:/tags/Macro",
"text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\",emptyMessage)\n\\whitespace trim\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\" emptyMessage=<<__emptyMessage__>>>\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n\\whitespace trim\n<span class=\"tc-links-draggable-list\">\n<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n<$type$ class=\"$class$\">\n<$list filter=\"[list[$tiddler$!!$field$]]\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\"/>\n<div>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$transclude>\n</div>\n</$droppable>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"div\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\">\n{{$:/core/images/blank}}\n</div>\n<div style=\"height:0.5em;\"/>\n</$droppable>\n</$tiddler>\n</$type$>\n</$vars>\n</span>\n\\end\n\n\\define list-tagged-draggable-drop-actions(tag)\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<__tag__>tagging[]]\">\n<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n<$list filter=\"[<__tag__>tagging[]]\">\n<$action-deletefield $field=\"list-before\"/>\n<$action-deletefield $field=\"list-after\"/>\n</$list>\n<!-- Save the new order to the Tag Tiddler -->\n<$action-listops $tiddler=<<__tag__>> $field=\"list\" $filter=\"+[enlist<order>] +[insertbefore:currentTiddler<actionTiddler>]\"/>\n<!-- Make sure the newly added item has the right tag -->\n<!-- Removing this line makes dragging tags within the dropdown work as intended -->\n<!--<$action-listops $tiddler=<<actionTiddler>> $tags=<<__tag__>>/>-->\n<!-- Using the following 5 lines as replacement makes dragging titles from outside into the dropdown apply the tag -->\n<$list filter=\"[<actionTiddler>!contains:tags<__tag__>]\">\n<$fieldmangler tiddler=<<actionTiddler>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<__tag__>>/>\n</$fieldmangler>\n</$list>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,subFilter,emptyMessage,itemTemplate,elementTag:\"div\",storyview:\"\")\n\\whitespace trim\n<span class=\"tc-tagged-draggable-list\">\n<$set name=\"tag\" value=<<__tag__>>>\n<$list filter=\"[<__tag__>tagging[]$subFilter$]\" emptyMessage=<<__emptyMessage__>> storyview=<<__storyview__>>>\n<$elementTag$ class=\"tc-menu-list-item\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$transclude>\n</$elementTag$>\n</$droppable>\n</$elementTag$>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$ style=\"height:0.5em;\">\n</$elementTag$>\n</$droppable>\n</$tiddler>\n</$set>\n</span>\n\\end\n"
},
"$:/core/macros/tabs": {
"title": "$:/core/macros/tabs",
"tags": "$:/tags/Macro",
"text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate,retain,actions,explicitState)\n<$set name=\"qualifiedState\" value=<<qualify \"$state$\">>>\n<$vars tabsState={{{ [<__explicitState__>minlength[1]] ~[<qualifiedState>] }}}>\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\" storyview=\"pop\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<tabsState>> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$set></$tiddler>$actions$</$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<tabsState>> text=<<currentTab>> default=\"$default$\" retain=\"\"\"$retain$\"\"\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n</$vars>\n</$set>\n\\end\n"
},
"$:/core/macros/tag-picker": {
"title": "$:/core/macros/tag-picker",
"tags": "$:/tags/Macro",
"first-search-filter": "[tags[]!is[system]search:title<userInput>sort[]]",
"second-search-filter": "[tags[]is[system]search:title<userInput>sort[]]",
"text": "\\define get-tagpicker-focus-selector() [data-tiddler-title=\"$(currentTiddlerCSSEscaped)$\"] .tc-add-tag-name input\n\n\\define delete-tag-state-tiddlers() <$action-deletetiddler $filter=\"[<newTagNameTiddler>] [<storeTitle>] [<tagSelectionState>]\"/>\n\n\\define add-tag-actions(actions,tagField:\"tags\")\n<$set name=\"tag\" value={{{ [<__tiddler__>get[text]] }}}>\n<$list filter=\"[<saveTiddler>!contains:$tagField$<tag>!match[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"-[<tag>]\"/>\n\"\"\">\n<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"[<tag>]\"/>\n$actions$\n</$list>\n</$set>\n<<delete-tag-state-tiddlers>>\n<$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n\\end\n\n\\define clear-tags-actions-inner()\n<$list filter=\"[<storeTitle>has[text]] [<newTagNameTiddler>has[text]]\" variable=\"ignore\" emptyMessage=\"\"\"<<cancel-delete-tiddler-actions \"cancel\">>\"\"\">\n<<delete-tag-state-tiddlers>>\n</$list>\n\\end\n\n\\define clear-tags-actions()\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[<newTagNameTiddler>get[text]!match<userInput>]\" emptyMessage=\"\"\"<<clear-tags-actions-inner>>\"\"\">\n<$action-setfield $tiddler=<<newTagNameTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n</$list>\n</$set>\n\\end\n\n\\define tag-picker-inner(actions,tagField:\"tags\")\n\\whitespace trim\n<$vars newTagNameInputTiddlerQualified=<<qualify \"$:/temp/NewTagName/input\">> newTagNameSelectionTiddlerQualified=<<qualify \"$:/temp/NewTagName/selected-item\">> fallbackTarget={{$(palette)$##tag-background}} colourA={{$(palette)$##foreground}} colourB={{$(palette)$##background}}>\n<$vars storeTitle={{{ [<newTagNameInputTiddler>!match[]] ~[<newTagNameInputTiddlerQualified>] }}} tagSelectionState={{{ [<newTagNameSelectionTiddler>!match[]] ~[<newTagNameSelectionTiddlerQualified>] }}}>\n<$vars refreshTitle=<<qualify \"$:/temp/NewTagName/refresh\">> nonSystemTagsFilter=\"[tags[]!is[system]search:title<userInput>sort[]]\" systemTagsFilter=\"[tags[]is[system]search:title<userInput>sort[]]\">\n<div class=\"tc-edit-add-tag\">\n<div>\n<span class=\"tc-add-tag-name tc-small-gap-right\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<newTagNameTiddler>> storeTitle=<<storeTitle>> refreshTitle=<<refreshTitle>>\n\t\tselectionStateTitle=<<tagSelectionState>> inputAcceptActions=\"\"\"<$macrocall $name=\"add-tag-actions\" actions=<<__actions__>> tagField=<<__tagField__>>/>\"\"\"\n\t\tinputCancelActions=<<clear-tags-actions>> tag=\"input\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}}\n\t\tfocusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex=<<tabIndex>> \n\t\tfocus={{{ [{$:/config/AutoFocus}match[tags]then[true]] ~[[false]] }}} filterMinLength={{$:/config/Tags/MinLength}} \n\t\tcancelPopups=<<cancelPopups>> configTiddlerFilter=\"[[$:/core/macros/tag-picker]]\"/>\n</span><$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button><$reveal state=<<storeTitle>> type=\"nomatch\" text=\"\"><$button class=\"tc-btn-invisible tc-small-gap tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Tags/ClearInput/Hint}} aria-label={{$:/language/EditTemplate/Tags/ClearInput/Caption}}>{{$:/core/images/close-button}}<<delete-tag-state-tiddlers>></$button></$reveal><span class=\"tc-add-tag-button tc-small-gap-left\">\n<$set name=\"tag\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$button set=<<newTagNameTiddler>> setTo=\"\" class=\"\">\n<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"[<tag>]\"/>\n$actions$\n<$set name=\"currentTiddlerCSSEscaped\" value={{{ [<saveTiddler>escapecss[]] }}}>\n<<delete-tag-state-tiddlers>><$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-tagpicker-focus-selector>>/>\n</$set>\n{{$:/language/EditTemplate/Tags/Add/Button}}\n</$button>\n</$set>\n</span>\n</div>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-block-tags-dropdown\">\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[<userInput>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=<<nonSystemTagsFilter>> variable=\"tag\">\n<$list filter=\"[<tag>addsuffix[-primaryList]] -[<tagSelectionState>get[text]]\" emptyMessage=\"\"\"<$vars button-classes=\"tc-btn-invisible tc-tag-button-selected\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\"\"\">\n<$vars button-classes=\"tc-btn-invisible\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\n</$list>\n</$list></$list>\n<hr>\n<$list filter=\"[<userInput>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=<<systemTagsFilter>> variable=\"tag\">\n<$list filter=\"[<tag>addsuffix[-secondaryList]] -[<tagSelectionState>get[text]]\" emptyMessage=\"\"\"<$vars button-classes=\"tc-btn-invisible tc-tag-button-selected\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\"\"\">\n<$vars button-classes=\"tc-btn-invisible\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\n</$list>\n</$list></$list>\n</$set>\n</div>\n</$reveal>\n</div>\n</div>\n</$vars>\n</$vars>\n</$vars>\n\\end\n\\define tag-picker(actions,tagField:\"tags\")\n\\whitespace trim\n<$vars saveTiddler=<<currentTiddler>> palette={{$:/palette}}>\n<$list filter=\"[<newTagNameTiddler>match[]]\" emptyMessage=\"\"\"<$macrocall $name=\"tag-picker-inner\" actions=<<__actions__>> tagField=<<__tagField__>>/>\"\"\">\n<$set name=\"newTagNameTiddler\" value=<<qualify \"$:/temp/NewTagName\">>>\n<$macrocall $name=\"tag-picker-inner\" actions=<<__actions__>> tagField=<<__tagField__>>/>\n</$set>\n</$list>\n</$vars>\n\\end\n"
},
"$:/core/macros/tag": {
"title": "$:/core/macros/tag",
"tags": "$:/tags/Macro",
"text": "\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<$element-tag$ $element-attributes$ class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n$actions$<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view tiddler=<<__tag__>> field=\"title\" format=\"text\" />\n</$element-tag$>\n</$vars>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n<$macrocall $name=\"tag-pill-inner\" tag=<<__tag__>> icon=\"\"\"$icon$\"\"\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-pill-body\" tag=<<__tag__>> icon={{{ [<__tag__>get[icon]] }}} colour={{{ [<__tag__>get[color]] }}} palette={{$:/palette}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
},
"$:/core/macros/thumbnails": {
"title": "$:/core/macros/thumbnails",
"tags": "$:/tags/Macro",
"text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
},
"$:/core/macros/timeline": {
"title": "$:/core/macros/timeline",
"created": "20141212105914482",
"modified": "20141212110330815",
"tags": "$:/tags/Macro",
"text": "\\define timeline-title()\n\\whitespace trim\n<!-- Override this macro with a global macro \n of the same name if you need to change \n how titles are displayed on the timeline \n -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><<timeline-title>></$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
},
"$:/core/macros/toc": {
"title": "$:/core/macros/toc",
"tags": "$:/tags/Macro",
"text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n <$transclude field=\"caption\">\n <$view field=\"title\"/>\n </$transclude>\n</$set>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<ol class=\"tc-toc\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$vars item=<<currentTiddler>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}><$view field='caption'><$view field='title'/></$view></$link>\">\n <<toc-caption>>\n </$list>\n <$macrocall $name=\"toc-body\" tag=<<item>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </li>\n </$set>\n </$set>\n </$vars>\n </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\"\")\n<$macrocall $name=\"toc-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> />\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-expandable-empty-message()\n<$macrocall $name=\"toc-linked-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\"\",exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\" >\n <li class=<<toc-item-class>>>\n <$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n </$list>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n </$list>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<$macrocall $name=\"toc-linked-selective-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-selective-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-selective-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{{ [<__selectedTiddler__>get[text]] }}}>\n <div class=\"tc-tabbed-table-of-contents\">\n <$linkcatcher to=<<__selectedTiddler__>>>\n <div class=\"tc-table-of-contents\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"[all[current]] -[<__selectedTiddler__>get[text]]\"/>\n </div>\n </$linkcatcher>\n <div class=\"tc-tabbed-table-of-contents-content\">\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"nomatch\" text=\"\">\n <$transclude mode=\"block\" tiddler=<<__template__>>>\n <h1><<toc-caption>></h1>\n <$transclude mode=\"block\">$missingText$</$transclude>\n </$transclude>\n </$reveal>\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"match\" text=\"\">\n $unselectedText$\n </$reveal>\n </div>\n </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=<<__selectedTiddler__>>>\n <$macrocall $name=\"toc-tabbed-external-nav\" tag=<<__tag__>> sort=<<__sort__>> selectedTiddler=<<__selectedTiddler__>> unselectedText=<<__unselectedText__>> missingText=<<__missingText__>> template=<<__template__>>/>\n</$linkcatcher>\n\\end\n\n"
},
"$:/core/macros/translink": {
"title": "$:/core/macros/translink",
"tags": "$:/tags/Macro",
"text": "\\define translink(title,mode:\"block\")\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: black; foreground; white;\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: white; foreground; black;\">\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"$mode$\">\n\"<$text text=\"\"\"$title$\"\"\"/>\" is missing\n</$transclude>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tree": {
"title": "$:/core/macros/tree",
"tags": "$:/tags/Macro",
"text": "\\define leaf-link(full-title,chunk,separator: \"/\")\n<$link to=<<__full-title__>>><$text text=<<__chunk__>>/></$link>\n\\end\n\n\\define leaf-node(prefix,chunk)\n<li>\n<$list filter=\"[<__prefix__>addsuffix<__chunk__>is[shadow]] [<__prefix__>addsuffix<__chunk__>is[tiddler]]\" variable=\"full-title\">\n<$list filter=\"[<full-title>removeprefix<__prefix__>]\" variable=\"chunk\">\n<span>{{$:/core/images/file}}</span> <$macrocall $name=\"leaf-link\" full-title=<<full-title>> chunk=<<chunk>>/>\n</$list>\n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix,chunk,separator: \"/\")\n<li>\n<$set name=\"reveal-state\" value={{{ [[$:/state/tree/]addsuffix<__prefix__>addsuffix<__chunk__>] }}}>\n<$reveal type=\"nomatch\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<span>(<$count filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>removeprefix<__chunk__>] -[<__prefix__>addsuffix<__chunk__>]\"/>)</span>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$macrocall $name=\"tree-node\" prefix={{{ [<__prefix__>addsuffix<__chunk__>] }}} separator=<<__separator__>>/>\n</$reveal>\n</$set>\n</li>\n\\end\n\n\\define tree-node(prefix,separator: \"/\")\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]!suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"leaf-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"branch-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix: \"$:/\",separator: \"/\")\n<div class=\"tc-tree\">\n<span><$text text=<<__prefix__>>/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=<<__prefix__>> separator=<<__separator__>>/>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/utils": {
"title": "$:/core/macros/utils",
"text": "\\define colour(colour)\n$colour$\n\\end\n"
},
"$:/snippets/minifocusswitcher": {
"title": "$:/snippets/minifocusswitcher",
"text": "<$select tiddler=\"$:/config/AutoFocus\">\n<$list filter=\"title tags text type fields\">\n<option value=<<currentTiddler>>><<currentTiddler>></option>\n</$list>\n</$select>\n"
},
"$:/snippets/minilanguageswitcher": {
"title": "$:/snippets/minilanguageswitcher",
"text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/minithemeswitcher": {
"title": "$:/snippets/minithemeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/modules": {
"title": "$:/snippets/modules",
"text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
},
"$:/palette": {
"title": "$:/palette",
"text": "$:/palettes/Vanilla"
},
"$:/snippets/paletteeditor": {
"title": "$:/snippets/paletteeditor",
"text": "<$transclude tiddler=\"$:/PaletteManager\"/>\n"
},
"$:/snippets/palettepreview": {
"title": "$:/snippets/palettepreview",
"text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n{{||$:/snippets/currpalettepreview}}\n</$set>\n"
},
"$:/snippets/paletteswitcher": {
"title": "$:/snippets/paletteswitcher",
"text": "<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[name]]\"><$set name=\"cls\" filter=\"[all[current]prefix{$:/palette}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/>{{||$:/snippets/currpalettepreview}}</$link>\n</div></$set>\n</$list>\n</div>\n</$linkcatcher>\n"
},
"$:/snippets/peek-stylesheets": {
"title": "$:/snippets/peek-stylesheets",
"text": "\\define expandable-stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$vars state=<<qualify \"$:/state/peek-stylesheets/open/\">>>\n<$set name=\"state\" value={{{ [<state>addsuffix<currentTiddler>] }}}>\n<li>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"no\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"yes\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"div\">\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</$reveal>\n</li>\n</$set>\n</$vars>\n</$list>\n</ol>\n\\end\n\n\\define stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<li>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</li>\n</$list>\n</ol>\n\\end\n\n<$vars modeState=<<qualify \"$:/state/peek-stylesheets/mode/\">>>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"expanded\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Stylesheets/Expand/Caption}}</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"restored\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}} {{$:/language/ControlPanel/Stylesheets/Restore/Caption}}</$button>\n</$reveal>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<expandable-stylesheets-list>>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<stylesheets-list>>\n</$reveal>\n\n</$vars>\n"
},
"$:/temp/search": {
"title": "$:/temp/search",
"text": ""
},
"$:/tags/AdvancedSearch": {
"title": "$:/tags/AdvancedSearch",
"list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
},
"$:/tags/AdvancedSearch/FilterButton": {
"title": "$:/tags/AdvancedSearch/FilterButton",
"list": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"
},
"$:/tags/ControlPanel": {
"title": "$:/tags/ControlPanel",
"list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
},
"$:/tags/ControlPanel/Info": {
"title": "$:/tags/ControlPanel/Info",
"list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
},
"$:/tags/ControlPanel/Plugins": {
"title": "$:/tags/ControlPanel/Plugins",
"list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
},
"$:/tags/EditTemplate": {
"title": "$:/tags/EditTemplate",
"list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
},
"$:/tags/EditToolbar": {
"title": "$:/tags/EditToolbar",
"list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
},
"$:/tags/EditorToolbar": {
"title": "$:/tags/EditorToolbar",
"list": "$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/rotate-left $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"
},
"$:/tags/Manager/ItemMain": {
"title": "$:/tags/Manager/ItemMain",
"list": "$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"
},
"$:/tags/Manager/ItemSidebar": {
"title": "$:/tags/Manager/ItemSidebar",
"list": "$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"
},
"$:/tags/MoreSideBar": {
"title": "$:/tags/MoreSideBar",
"list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]",
"text": ""
},
"$:/tags/PageControls": {
"title": "$:/tags/PageControls",
"list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
},
"$:/tags/PageTemplate": {
"title": "$:/tags/PageTemplate",
"list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
"text": ""
},
"$:/tags/PluginLibrary": {
"title": "$:/tags/PluginLibrary",
"list": "$:/config/OfficialPluginLibrary"
},
"$:/tags/SideBar": {
"title": "$:/tags/SideBar",
"list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
"text": ""
},
"$:/tags/SideBarSegment": {
"title": "$:/tags/SideBarSegment",
"list": "[[$:/core/ui/SideBarSegments/site-title]] [[$:/core/ui/SideBarSegments/site-subtitle]] [[$:/core/ui/SideBarSegments/page-controls]] [[$:/core/ui/SideBarSegments/search]] [[$:/core/ui/SideBarSegments/tabs]]"
},
"$:/tags/TiddlerInfo": {
"title": "$:/tags/TiddlerInfo",
"list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
"text": ""
},
"$:/tags/TiddlerInfo/Advanced": {
"title": "$:/tags/TiddlerInfo/Advanced",
"list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
},
"$:/tags/ViewTemplate": {
"title": "$:/tags/ViewTemplate",
"list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
},
"$:/tags/ViewToolbar": {
"title": "$:/tags/ViewToolbar",
"list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
},
"$:/snippets/themeswitcher": {
"title": "$:/snippets/themeswitcher",
"text": "<$linkcatcher to=\"$:/theme\">\n<div class=\"tc-chooser\"><$list filter=\"[plugin-type[theme]sort[title]]\"><$set name=\"cls\" filter=\"[all[current]field:title{$:/theme}] [[$:/theme]!has[text]addsuffix[s/tiddlywiki/vanilla]field:title<currentTiddler>] +[limit[1]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/wiki/title": {
"title": "$:/core/wiki/title",
"text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
},
"$:/view": {
"title": "$:/view",
"text": "classic"
},
"$:/snippets/viewswitcher": {
"title": "$:/snippets/viewswitcher",
"text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<$linkcatcher to=\"$:/view\">\n<div class=\"tc-chooser tc-viewswitcher\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$set name=\"cls\" filter=\"[<storyview>prefix{$:/view}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link to=<<storyview>>><$transclude tiddler=<<icon>>/><$text text=<<storyview>>/></$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
}
}
}
The following tiddlers were imported:
# [[Снимок экрана 2021-04-19 в 5.48.01 PM.png]]
alert-background: #f2f0e9
alert-border: #b99e2f
alert-highlight: #881122
alert-muted-foreground: #b99e2f
background: #ffffff
blockquote-bar: <<colour muted-foreground>>
button-background:
button-foreground:
button-border:
code-background: #f7f7f9
code-border: #e1e1e8
code-foreground: #dd1144
diff-delete-background: #ffc9c9
diff-delete-foreground: <<colour foreground>>
diff-equal-background:
diff-equal-foreground: <<colour foreground>>
diff-insert-background: #aaefad
diff-insert-foreground: <<colour foreground>>
diff-invisible-background:
diff-invisible-foreground: <<colour muted-foreground>>
dirty-indicator: #ff0000
download-background: #34c734
download-foreground: <<colour background>>
dragger-background: <<colour foreground>>
dragger-foreground: <<colour background>>
dropdown-background: <<colour background>>
dropdown-border: <<colour muted-foreground>>
dropdown-tab-background-selected: #fff
dropdown-tab-background: #ececec
dropzone-background: rgba(0,200,0,0.7)
external-link-background-hover: inherit
external-link-background-visited: inherit
external-link-background: inherit
external-link-foreground-hover: inherit
external-link-foreground-visited: #0000aa
external-link-foreground: #0000ee
foreground: #333333
message-background: #ecf2ff
message-border: #cfd6e6
message-foreground: #547599
modal-backdrop: <<colour foreground>>
modal-background: <<colour background>>
modal-border: #999999
modal-footer-background: #f5f5f5
modal-footer-border: #dddddd
modal-header-border: #eeeeee
muted-foreground: #bbb
notification-background: #ffffdd
notification-border: #999999
page-background: #f4f4f4
pre-background: #f5f5f5
pre-border: #cccccc
primary: #5778d8
selection-background:
selection-foreground:
select-tag-background:
select-tag-foreground:
sidebar-button-foreground: <<colour foreground>>
sidebar-controls-foreground-hover: #000000
sidebar-controls-foreground: #aaaaaa
sidebar-foreground-shadow: rgba(255,255,255, 0.8)
sidebar-foreground: #acacac
sidebar-muted-foreground-hover: #444444
sidebar-muted-foreground: #c0c0c0
sidebar-tab-background-selected: #f4f4f4
sidebar-tab-background: #e0e0e0
sidebar-tab-border-selected: <<colour tab-border-selected>>
sidebar-tab-border: <<colour tab-border>>
sidebar-tab-divider: #e4e4e4
sidebar-tab-foreground-selected:
sidebar-tab-foreground: <<colour tab-foreground>>
sidebar-tiddler-link-foreground-hover: #444444
sidebar-tiddler-link-foreground: #999999
site-title-foreground: <<colour tiddler-title-foreground>>
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BarlowProschanImportance BarnesG BarOrigin BarSpacing BartlettHannWindow BartlettWindow BaseForm Baseline BaselinePosition BaseStyle BatesDistribution BattleLemarieWavelet Because BeckmannDistribution Beep Before Begin BeginDialogPacket BeginFrontEndInteractionPacket BeginPackage BellB BellY Below BenfordDistribution BeniniDistribution BenktanderGibratDistribution BenktanderWeibullDistribution BernoulliB BernoulliDistribution BernoulliGraphDistribution BernoulliProcess BernsteinBasis BesselFilterModel BesselI BesselJ BesselJZero BesselK BesselY BesselYZero Beta BetaBinomialDistribution BetaDistribution BetaNegativeBinomialDistribution BetaPrimeDistribution BetaRegularized BetweennessCentrality BezierCurve BezierCurve3DBox BezierCurve3DBoxOptions BezierCurveBox BezierCurveBoxOptions BezierFunction BilateralFilter Binarize BinaryFormat BinaryImageQ BinaryRead BinaryReadList BinaryWrite BinCounts BinLists Binomial BinomialDistribution BinomialProcess BinormalDistribution BiorthogonalSplineWavelet BipartiteGraphQ BirnbaumImportance BirnbaumSaundersDistribution BitAnd BitClear BitGet BitLength BitNot BitOr BitSet BitShiftLeft BitShiftRight BitXor Black BlackmanHarrisWindow BlackmanNuttallWindow BlackmanWindow Blank BlankForm BlankNullSequence BlankSequence Blend Block BlockRandom BlomqvistBeta BlomqvistBetaTest Blue Blur BodePlot BohmanWindow Bold Bookmarks Boole BooleanConsecutiveFunction BooleanConvert BooleanCountingFunction BooleanFunction BooleanGraph BooleanMaxterms BooleanMinimize BooleanMinterms Booleans BooleanTable BooleanVariables BorderDimensions BorelTannerDistribution Bottom BottomHatTransform BoundaryStyle Bounds Box BoxBaselineShift BoxData BoxDimensions Boxed Boxes BoxForm BoxFormFormatTypes BoxFrame BoxID BoxMargins BoxMatrix BoxRatios BoxRotation BoxRotationPoint BoxStyle BoxWhiskerChart Bra BracketingBar BraKet BrayCurtisDistance BreadthFirstScan Break Brown BrownForsytheTest BrownianBridgeProcess BrowserCategory BSplineBasis BSplineCurve BSplineCurve3DBox BSplineCurveBox BSplineCurveBoxOptions BSplineFunction BSplineSurface BSplineSurface3DBox BubbleChart BubbleChart3D BubbleScale BubbleSizes BulletGauge BusinessDayQ ButterflyGraph ButterworthFilterModel Button ButtonBar ButtonBox ButtonBoxOptions ButtonCell ButtonContents ButtonData ButtonEvaluator ButtonExpandable ButtonFrame ButtonFunction ButtonMargins ButtonMinHeight ButtonNote ButtonNotebook ButtonSource ButtonStyle ButtonStyleMenuListing Byte ByteCount ByteOrdering C CachedValue CacheGraphics CalendarData CalendarType CallPacket CanberraDistance Cancel CancelButton CandlestickChart Cap CapForm CapitalDifferentialD CardinalBSplineBasis CarmichaelLambda Cases Cashflow Casoratian Catalan CatalanNumber Catch CauchyDistribution CauchyWindow CayleyGraph CDF CDFDeploy CDFInformation CDFWavelet Ceiling Cell CellAutoOverwrite CellBaseline CellBoundingBox CellBracketOptions CellChangeTimes CellContents CellContext CellDingbat CellDynamicExpression CellEditDuplicate CellElementsBoundingBox CellElementSpacings CellEpilog CellEvaluationDuplicate CellEvaluationFunction CellEventActions CellFrame CellFrameColor CellFrameLabelMargins CellFrameLabels CellFrameMargins CellGroup CellGroupData CellGrouping CellGroupingRules CellHorizontalScrolling CellID CellLabel CellLabelAutoDelete CellLabelMargins CellLabelPositioning CellMargins CellObject CellOpen CellPrint CellProlog Cells CellSize CellStyle CellTags CellularAutomaton CensoredDistribution Censoring Center CenterDot CentralMoment CentralMomentGeneratingFunction CForm ChampernowneNumber ChanVeseBinarize Character CharacterEncoding CharacterEncodingsPath CharacteristicFunction CharacteristicPolynomial CharacterRange Characters ChartBaseStyle ChartElementData ChartElementDataFunction ChartElementFunction ChartElements ChartLabels ChartLayout ChartLegends ChartStyle Chebyshev1FilterModel Chebyshev2FilterModel ChebyshevDistance ChebyshevT ChebyshevU Check CheckAbort CheckAll Checkbox CheckboxBar CheckboxBox CheckboxBoxOptions ChemicalData ChessboardDistance ChiDistribution ChineseRemainder ChiSquareDistribution ChoiceButtons ChoiceDialog CholeskyDecomposition Chop Circle CircleBox CircleDot CircleMinus CirclePlus CircleTimes CirculantGraph CityData Clear ClearAll ClearAttributes ClearSystemCache ClebschGordan ClickPane Clip ClipboardNotebook ClipFill ClippingStyle ClipPlanes ClipRange Clock ClockGauge ClockwiseContourIntegral Close Closed CloseKernels ClosenessCentrality Closing ClosingAutoSave ClosingEvent ClusteringComponents CMYKColor Coarse Coefficient CoefficientArrays CoefficientDomain CoefficientList CoefficientRules CoifletWavelet Collect Colon ColonForm ColorCombine ColorConvert ColorData ColorDataFunction ColorFunction ColorFunctionScaling Colorize ColorNegate ColorOutput ColorProfileData ColorQuantize ColorReplace ColorRules ColorSelectorSettings ColorSeparate ColorSetter ColorSetterBox ColorSetterBoxOptions ColorSlider ColorSpace Column ColumnAlignments ColumnBackgrounds ColumnForm ColumnLines ColumnsEqual ColumnSpacings ColumnWidths CommonDefaultFormatTypes Commonest CommonestFilter CommonUnits CommunityBoundaryStyle CommunityGraphPlot CommunityLabels CommunityRegionStyle CompatibleUnitQ CompilationOptions CompilationTarget Compile Compiled CompiledFunction Complement CompleteGraph CompleteGraphQ CompleteKaryTree CompletionsListPacket Complex Complexes ComplexExpand ComplexInfinity ComplexityFunction ComponentMeasurements ComponentwiseContextMenu Compose ComposeList ComposeSeries Composition CompoundExpression CompoundPoissonDistribution CompoundPoissonProcess CompoundRenewalProcess Compress CompressedData Condition ConditionalExpression Conditioned Cone ConeBox ConfidenceLevel ConfidenceRange ConfidenceTransform ConfigurationPath Congruent Conjugate ConjugateTranspose Conjunction Connect ConnectedComponents ConnectedGraphQ ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray Constants ConstrainedMax ConstrainedMin ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFilename ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean Control ControlActive ControlAlignment ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath ControllerState ControlPlacement ControlsRendering ControlType Convergents ConversionOptions ConversionRules ConvertToBitmapPacket ConvertToPostScript ConvertToPostScriptPacket Convolve ConwayGroupCo1 ConwayGroupCo2 ConwayGroupCo3 CoordinateChartData CoordinatesToolOptions CoordinateTransform CoordinateTransformData CoprimeQ Coproduct CopulaDistribution Copyable CopyDirectory CopyFile CopyTag CopyToClipboard CornerFilter CornerNeighbors Correlation CorrelationDistance CorrelationFunction CorrelationTest Cos Cosh CoshIntegral CosineDistance CosineWindow CosIntegral Cot Coth Count CounterAssignments CounterBox CounterBoxOptions CounterClockwiseContourIntegral CounterEvaluator CounterFunction CounterIncrements CounterStyle CounterStyleMenuListing CountRoots CountryData Covariance CovarianceEstimatorFunction CovarianceFunction CoxianDistribution CoxIngersollRossProcess CoxModel CoxModelFit CramerVonMisesTest CreateArchive CreateDialog CreateDirectory CreateDocument CreateIntermediateDirectories CreatePalette CreatePalettePacket CreateScheduledTask CreateTemporary CreateWindow CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossingDetect CrossMatrix Csc Csch CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrentImage CurrentlySpeakingPacket CurrentValue CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecomposition D DagumDistribution DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DataCompression DataDistribution DataRange DataReversed Date DateDelimiters DateDifference DateFunction DateList DateListLogPlot DateListPlot DatePattern DatePlus DateRange DateString DateTicksFormat DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayMatchQ DayName DayPlus DayRange DayRound DeBruijnGraph Debug DebugTag Decimal DeclareKnownSymbols DeclarePackage Decompose Decrement DedekindEta Default DefaultAxesStyle DefaultBaseStyle DefaultBoxStyle DefaultButton DefaultColor DefaultControlPlacement DefaultDuplicateCellStyle DefaultDuration DefaultElement DefaultFaceGridsStyle DefaultFieldHintStyle DefaultFont DefaultFontProperties DefaultFormatType DefaultFormatTypeForStyle DefaultFrameStyle DefaultFrameTicksStyle DefaultGridLinesStyle DefaultInlineFormatType DefaultInputFormatType DefaultLabelStyle DefaultMenuStyle DefaultNaturalLanguage DefaultNewCellStyle DefaultNewInlineCellStyle DefaultNotebook DefaultOptions DefaultOutputFormatType DefaultStyle DefaultStyleDefinitions DefaultTextFormatType DefaultTextInlineFormatType DefaultTicksStyle DefaultTooltipStyle DefaultValues Defer DefineExternal DefineInputStreamMethod DefineOutputStreamMethod Definition Degree DegreeCentrality DegreeGraphDistribution DegreeLexicographic DegreeReverseLexicographic Deinitialization Del Deletable Delete DeleteBorderComponents DeleteCases DeleteContents DeleteDirectory DeleteDuplicates DeleteFile DeleteSmallComponents DeleteWithContents DeletionWarning Delimiter DelimiterFlashTime DelimiterMatching Delimiters Denominator DensityGraphics DensityHistogram DensityPlot DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DescriptorStateSpace DesignMatrix Det DGaussianWavelet DiacriticalPositioning Diagonal DiagonalMatrix Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DifferenceDelta DifferenceOrder DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralGroup Dilation Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletCharacter DirichletConvolve DirichletDistribution DirichletL DirichletTransform DirichletWindow DisableConsolePrintPacket DiscreteChirpZTransform DiscreteConvolve DiscreteDelta DiscreteHadamardTransform DiscreteIndicator DiscreteLQEstimatorGains DiscreteLQRegulatorGains DiscreteLyapunovSolve DiscreteMarkovProcess DiscretePlot DiscretePlot3D DiscreteRatio DiscreteRiccatiSolve DiscreteShift DiscreteTimeModelQ DiscreteUniformDistribution DiscreteVariables DiscreteWaveletData DiscreteWaveletPacketTransform DiscreteWaveletTransform Discriminant Disjunction Disk DiskBox DiskMatrix Dispatch DispersionEstimatorFunction Display DisplayAllSteps DisplayEndPacket DisplayFlushImagePacket DisplayForm DisplayFunction DisplayPacket DisplayRules DisplaySetSizePacket DisplayString DisplayTemporary DisplayWith DisplayWithRef DisplayWithVariable DistanceFunction DistanceTransform Distribute Distributed DistributedContexts DistributeDefinitions DistributionChart DistributionDomain DistributionFitTest DistributionParameterAssumptions DistributionParameterQ Dithering Div Divergence Divide DivideBy Dividers Divisible Divisors DivisorSigma DivisorSum DMSList DMSString Do DockedCells DocumentNotebook DominantColors DOSTextFormat Dot DotDashed DotEqual Dotted DoubleBracketingBar DoubleContourIntegral DoubleDownArrow DoubleLeftArrow DoubleLeftRightArrow DoubleLeftTee DoubleLongLeftArrow DoubleLongLeftRightArrow DoubleLongRightArrow DoubleRightArrow DoubleRightTee DoubleUpArrow DoubleUpDownArrow DoubleVerticalBar DoublyInfinite Down DownArrow DownArrowBar DownArrowUpArrow DownLeftRightVector DownLeftTeeVector DownLeftVector DownLeftVectorBar DownRightTeeVector DownRightVector DownRightVectorBar Downsample DownTee DownTeeArrow DownValues DragAndDrop DrawEdges DrawFrontFaces DrawHighlighted Drop DSolve Dt DualLinearProgramming DualSystemsModel DumpGet DumpSave DuplicateFreeQ Dynamic DynamicBox DynamicBoxOptions DynamicEvaluationTimeout DynamicLocation DynamicModule DynamicModuleBox DynamicModuleBoxOptions DynamicModuleParent DynamicModuleValues DynamicName DynamicNamespace DynamicReference DynamicSetting DynamicUpdating DynamicWrapper DynamicWrapperBox DynamicWrapperBoxOptions E EccentricityCentrality EdgeAdd EdgeBetweennessCentrality EdgeCapacity EdgeCapForm EdgeColor EdgeConnectivity EdgeCost EdgeCount EdgeCoverQ EdgeDashing EdgeDelete EdgeDetect EdgeForm EdgeIndex EdgeJoinForm EdgeLabeling EdgeLabels EdgeLabelStyle EdgeList EdgeOpacity EdgeQ EdgeRenderingFunction EdgeRules EdgeShapeFunction EdgeStyle EdgeThickness EdgeWeight Editable EditButtonSettings EditCellTagsSettings EditDistance EffectiveInterest Eigensystem Eigenvalues EigenvectorCentrality Eigenvectors Element ElementData Eliminate EliminationOrder EllipticE EllipticExp EllipticExpPrime EllipticF EllipticFilterModel EllipticK EllipticLog EllipticNomeQ EllipticPi EllipticReducedHalfPeriods EllipticTheta EllipticThetaPrime EmitSound EmphasizeSyntaxErrors EmpiricalDistribution Empty EmptyGraphQ EnableConsolePrintPacket Enabled Encode End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfFile EndOfLine EndOfString EndPackage EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entropy EntropyFilter Environment Epilog Equal EqualColumns EqualRows EqualTilde EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerE EulerGamma EulerianGraphQ EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluationCell EvaluationCompletionAction EvaluationElements EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpToTrig ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalCall ExternalDataCharacterEncoding Extract ExtractArchive ExtremeValueDistribution FaceForm FaceGrids FaceGridsStyle Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail FailureDistribution False FARIMAProcess FEDisableConsolePrintPacket FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket Fibonacci FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileDate FileExistsQ FileExtension FileFormat FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileType FilledCurve FilledCurveBox Filling FillingStyle FillingTransform FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindArgMax FindArgMin FindClique FindClusters FindCurvePath FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEulerianCycle FindFaces FindFile FindFit FindGeneratingFunction FindGeoLocation FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMaximum FindMaximumFlow FindMaxValue FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindPermutation FindPostmanTour FindProcessParameters FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindThreshold FindVertexCover FindVertexCut Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstPassageTimeDistribution FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FittedModel FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlatTopWindow FlipView Floor FlushPrintOutputPacket Fold FoldList Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrequencySamplingFilterKernel FresnelC FresnelS Friday FrobeniusNumber FrobeniusSolve FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullOptions FullSimplify Function FunctionExpand FunctionInterpolation FunctionSpace FussellVeselyImportance GaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins Gamma GammaDistribution GammaRegularized GapPenalty Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateConditions GeneratedCell GeneratedParameters GeneratingFunction Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDistance GeoGridPosition GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoPosition GeoPositionENU GeoPositionXYZ GeoProjectionData GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter Graph GraphAssortativity GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel GreatCircleDistance Greater GreaterEqual GreaterEqualLess GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterTilde Green Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain Gudermannian GumbelDistribution HaarWavelet HadamardMatrix HalfNormalDistribution HamiltonianGraphQ HammingDistance HammingWindow HankelH1 HankelH2 HankelMatrix HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash HashTable Haversine HazardFunction Head HeadCompose Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenSurface HighlightGraph HighlightImage HighpassFilter HigmanSimsGroupHS HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HitMissTransform HITSCentrality HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HotellingTSquareDistribution HoytDistribution HTMLSave Hue HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestData I Identity IdentityMatrix If IgnoreCase Im Image Image3D Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageAspectRatio ImageAssemble ImageCache ImageCacheValid ImageCapture ImageChannels ImageClip ImageColorSpace ImageCompose ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDataPacket ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDistance ImageEffect ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageForestingComponents ImageForwardTransformation ImageHistogram ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarkers ImageMeasurements ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImageQ ImageRangeCache ImageReflect ImageRegion ImageResize ImageResolution ImageRotate ImageRotated ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions Implies Import ImportAutoReplacements ImportString ImprovementImportance In IncidenceGraph IncidenceList IncidenceMatrix IncludeConstantBasis IncludeFileExtension IncludePods IncludeSingularTerm Increment Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentUnit IndependentVertexSetQ Indeterminate IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers Infinity Infix Information Inherited InheritScope Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InlineCounterAssignments InlineCounterIncrements InlineRules Inner Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionPointObject InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Install InstallService InString Integer IntegerDigits IntegerExponent IntegerLength IntegerPart IntegerPartitions IntegerQ Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction InterpretTemplate InterquartileRange Interrupt InterruptSettings Intersection Interval IntervalIntersection IntervalMemberQ IntervalUnion Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHaversine InverseJacobiCD InverseJacobiCN InverseJacobiCS InverseJacobiDC InverseJacobiDN InverseJacobiDS InverseJacobiNC InverseJacobiND InverseJacobiNS InverseJacobiSC InverseJacobiSD InverseJacobiSN InverseLaplaceTransform InversePermutation InverseRadon InverseSeries InverseSurvivalFunction InverseWaveletTransform InverseWeierstrassP InverseZTransform Invisible InvisibleApplication InvisibleTimes IrreduciblePolynomialQ IsolatingInterval IsomorphicGraphQ IsotopeData Italic Item ItemBox ItemBoxOptions ItemSize ItemStyle ItoProcess JaccardDissimilarity JacobiAmplitude Jacobian JacobiCD JacobiCN JacobiCS JacobiDC JacobiDN JacobiDS JacobiNC JacobiND JacobiNS JacobiP JacobiSC JacobiSD JacobiSN JacobiSymbol JacobiZeta JankoGroupJ1 JankoGroupJ2 JankoGroupJ3 JankoGroupJ4 JarqueBeraALMTest JohnsonDistribution Join Joined JoinedCurve JoinedCurveBox JoinForm JordanDecomposition JordanModelDecomposition K KagiChart KaiserBesselWindow KaiserWindow KalmanEstimator KalmanFilter KarhunenLoeveDecomposition KaryTree KatzCentrality KCoreComponents KDistribution KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelMixtureDistribution KernelObject Kernels Ket Khinchin KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnightTourGraph KnotData KnownUnitQ KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter Label Labeled LabeledSlider LabelingFunction LabelStyle LaguerreL LambdaComponents LambertW LanczosWindow LandauDistribution Language LanguageCategory LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCM LeafCount LeapYearQ LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessFullEqual LessGreater LessLess LessSlantEqual LessTilde LetterCharacter LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox LinearFilter LinearFractionalTransform LinearModelFit LinearOffsetFunction LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBreak LinebreakAdjustments LineBreakChart LineBreakWithin LineColor LineForm LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRead LinkReadHeld LinkReadyQ Links LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot Listen ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalClusteringCoefficient LocalizeVariables LocationEquivalenceTest LocationTest 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MaxStepSize MaxValue MaxwellDistribution McLaughlinGroupMcL Mean MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter Median MedianDeviation MedianFilter Medium MeijerG MeixnerDistribution MemberQ MemoryConstrained MemoryInUse Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuPacket MenuSortingValue MenuStyle MenuView MergeDifferences Mesh MeshFunctions MeshRange MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation Method MethodOptions MexicanHatWavelet MeyerWavelet Min MinDetect MinFilter MinimalPolynomial MinimalStateSpaceModel Minimize Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingDataMethod MittagLefflerE MixedRadix MixedRadixQuantity MixtureDistribution Mod Modal Mode Modular ModularLambda Module Modulus MoebiusMu Moment Momentary MomentConvert 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menuValue min mineActive mineDetectedBy missionConfigFile missionDifficulty missionName missionNamespace missionStart missionVersion mod modelToWorld modelToWorldVisual modParams moonIntensity moonPhase morale move move3DENCamera moveInAny moveInCargo moveInCommander moveInDriver moveInGunner moveInTurret moveObjectToEnd moveOut moveTime moveTo moveToCompleted moveToFailed musicVolume name nameSound nearEntities nearestBuilding nearestLocation nearestLocations nearestLocationWithDubbing nearestObject nearestObjects nearestTerrainObjects nearObjects nearObjectsReady nearRoads nearSupplies nearTargets needReload netId netObjNull newOverlay nextMenuItemIndex nextWeatherChange nMenuItems not numberToDate objectCurators objectFromNetId objectParent objNull objStatus onBriefingGroup onBriefingNotes onBriefingPlan onBriefingTeamSwitch onCommandModeChanged onDoubleClick onEachFrame onGroupIconClick onGroupIconOverEnter onGroupIconOverLeave onHCGroupSelectionChanged onMapSingleClick 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strict\";r.exports={options:{html:!1,xhtmlOut:!1,breaks:!1,langPrefix:\"language-\",linkify:!1,typographer:!1,quotes:\"\\u201c\\u201d\\u2018\\u2019\",highlight:null,maxNesting:20},components:{core:{rules:[\"normalize\",\"block\",\"inline\"]},block:{rules:[\"paragraph\"]},inline:{rules:[\"text\"],rules2:[\"balance_pairs\",\"text_collapse\"]}}}},{}],16:[function(e,r,t){\"use strict\";function n(){this.rules=s({},a)}var s=e(\"./common/utils\").assign,o=e(\"./common/utils\").unescapeAll,i=e(\"./common/utils\").escapeHtml,a={};a.code_inline=function(e,r,t,n,s){var o=e[r];return\"<code\"+s.renderAttrs(o)+\">\"+i(e[r].content)+\"</code>\"},a.code_block=function(e,r,t,n,s){var o=e[r];return\"<pre\"+s.renderAttrs(o)+\"><code>\"+i(e[r].content)+\"</code></pre>\\n\"},a.fence=function(e,r,t,n,s){var a,c,l,u,p=e[r],h=p.info?o(p.info).trim():\"\",f=\"\";return h&&(f=h.split(/\\s+/g)[0]),0===(a=t.highlight?t.highlight(p.content,f)||i(p.content):i(p.content)).indexOf(\"<pre\")?a+\"\\n\":h?(c=p.attrIndex(\"class\"),l=p.attrs?p.attrs.slice():[],c<0?l.push([\"class\",t.langPrefix+f]):l[c][1]+=\" \"+t.langPrefix+f,u={attrs:l},\"<pre><code\"+s.renderAttrs(u)+\">\"+a+\"</code></pre>\\n\"):\"<pre><code\"+s.renderAttrs(p)+\">\"+a+\"</code></pre>\\n\"},a.image=function(e,r,t,n,s){var o=e[r];return o.attrs[o.attrIndex(\"alt\")][1]=s.renderInlineAsText(o.children,t,n),s.renderToken(e,r,t)},a.hardbreak=function(e,r,t){return t.xhtmlOut?\"<br />\\n\":\"<br>\\n\"},a.softbreak=function(e,r,t){return t.breaks?t.xhtmlOut?\"<br />\\n\":\"<br>\\n\":\"\\n\"},a.text=function(e,r){return i(e[r].content)},a.html_block=function(e,r){return e[r].content},a.html_inline=function(e,r){return e[r].content},n.prototype.renderAttrs=function(e){var r,t,n;if(!e.attrs)return\"\";for(n=\"\",r=0,t=e.attrs.length;r<t;r++)n+=\" \"+i(e.attrs[r][0])+'=\"'+i(e.attrs[r][1])+'\"';return n},n.prototype.renderToken=function(e,r,t){var n,s=\"\",o=!1,i=e[r];return i.hidden?\"\":(i.block&&-1!==i.nesting&&r&&e[r-1].hidden&&(s+=\"\\n\"),s+=(-1===i.nesting?\"</\":\"<\")+i.tag,s+=this.renderAttrs(i),0===i.nesting&&t.xhtmlOut&&(s+=\" /\"),i.block&&(o=!0,1===i.nesting&&r+1<e.length&&(\"inline\"===(n=e[r+1]).type||n.hidden?o=!1:-1===n.nesting&&n.tag===i.tag&&(o=!1))),s+=o?\">\\n\":\">\")},n.prototype.renderInline=function(e,r,t){for(var n,s=\"\",o=this.rules,i=0,a=e.length;i<a;i++)void 0!==o[n=e[i].type]?s+=o[n](e,i,r,t,this):s+=this.renderToken(e,i,r);return s},n.prototype.renderInlineAsText=function(e,r,t){for(var n=\"\",s=0,o=e.length;s<o;s++)\"text\"===e[s].type?n+=e[s].content:\"image\"===e[s].type&&(n+=this.renderInlineAsText(e[s].children,r,t));return n},n.prototype.render=function(e,r,t){var n,s,o,i=\"\",a=this.rules;for(n=0,s=e.length;n<s;n++)\"inline\"===(o=e[n].type)?i+=this.renderInline(e[n].children,r,t):void 0!==a[o]?i+=a[e[n].type](e,n,r,t,this):i+=this.renderToken(e,n,r,t);return i},r.exports=n},{\"./common/utils\":4}],17:[function(e,r,t){\"use strict\";function n(){this.__rules__=[],this.__cache__=null}n.prototype.__find__=function(e){for(var r=0;r<this.__rules__.length;r++)if(this.__rules__[r].name===e)return r;return-1},n.prototype.__compile__=function(){var e=this,r=[\"\"];e.__rules__.forEach(function(e){e.enabled&&e.alt.forEach(function(e){r.indexOf(e)<0&&r.push(e)})}),e.__cache__={},r.forEach(function(r){e.__cache__[r]=[],e.__rules__.forEach(function(t){t.enabled&&(r&&t.alt.indexOf(r)<0||e.__cache__[r].push(t.fn))})})},n.prototype.at=function(e,r,t){var n=this.__find__(e),s=t||{};if(-1===n)throw new Error(\"Parser rule not found: \"+e);this.__rules__[n].fn=r,this.__rules__[n].alt=s.alt||[],this.__cache__=null},n.prototype.before=function(e,r,t,n){var s=this.__find__(e),o=n||{};if(-1===s)throw new Error(\"Parser rule not found: \"+e);this.__rules__.splice(s,0,{name:r,enabled:!0,fn:t,alt:o.alt||[]}),this.__cache__=null},n.prototype.after=function(e,r,t,n){var s=this.__find__(e),o=n||{};if(-1===s)throw new Error(\"Parser rule not found: \"+e);this.__rules__.splice(s+1,0,{name:r,enabled:!0,fn:t,alt:o.alt||[]}),this.__cache__=null},n.prototype.push=function(e,r,t){var n=t||{};this.__rules__.push({name:e,enabled:!0,fn:r,alt:n.alt||[]}),this.__cache__=null},n.prototype.enable=function(e,r){Array.isArray(e)||(e=[e]);var t=[];return e.forEach(function(e){var n=this.__find__(e);if(n<0){if(r)return;throw new Error(\"Rules manager: invalid rule name \"+e)}this.__rules__[n].enabled=!0,t.push(e)},this),this.__cache__=null,t},n.prototype.enableOnly=function(e,r){Array.isArray(e)||(e=[e]),this.__rules__.forEach(function(e){e.enabled=!1}),this.enable(e,r)},n.prototype.disable=function(e,r){Array.isArray(e)||(e=[e]);var t=[];return e.forEach(function(e){var n=this.__find__(e);if(n<0){if(r)return;throw new Error(\"Rules 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o,i,a,c,l,u,p,h,f,d,m,_,g,b,k,v,x,y,C,A,w=e.lineMax,D=e.bMarks[r]+e.tShift[r],q=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(62!==e.src.charCodeAt(D++))return!1;if(s)return!0;for(c=f=e.sCount[r]+D-(e.bMarks[r]+e.tShift[r]),32===e.src.charCodeAt(D)?(D++,c++,f++,o=!1,v=!0):9===e.src.charCodeAt(D)?(v=!0,(e.bsCount[r]+f)%4==3?(D++,c++,f++,o=!1):o=!0):v=!1,d=[e.bMarks[r]],e.bMarks[r]=D;D<q&&(i=e.src.charCodeAt(D),n(i));)9===i?f+=4-(f+e.bsCount[r]+(o?1:0))%4:f++,D++;for(m=[e.bsCount[r]],e.bsCount[r]=e.sCount[r]+1+(v?1:0),u=D>=q,b=[e.sCount[r]],e.sCount[r]=f-c,k=[e.tShift[r]],e.tShift[r]=D-e.bMarks[r],y=e.md.block.ruler.getRules(\"blockquote\"),g=e.parentType,e.parentType=\"blockquote\",A=!1,h=r+1;h<t&&(e.sCount[h]<e.blkIndent&&(A=!0),D=e.bMarks[h]+e.tShift[h],q=e.eMarks[h],!(D>=q));h++)if(62!==e.src.charCodeAt(D++)||A){if(u)break;for(x=!1,a=0,l=y.length;a<l;a++)if(y[a](e,h,t,!0)){x=!0;break}if(x){e.lineMax=h,0!==e.blkIndent&&(d.push(e.bMarks[h]),m.push(e.bsCount[h]),k.push(e.tShift[h]),b.push(e.sCount[h]),e.sCount[h]-=e.blkIndent);break}d.push(e.bMarks[h]),m.push(e.bsCount[h]),k.push(e.tShift[h]),b.push(e.sCount[h]),e.sCount[h]=-1}else{for(c=f=e.sCount[h]+D-(e.bMarks[h]+e.tShift[h]),32===e.src.charCodeAt(D)?(D++,c++,f++,o=!1,v=!0):9===e.src.charCodeAt(D)?(v=!0,(e.bsCount[h]+f)%4==3?(D++,c++,f++,o=!1):o=!0):v=!1,d.push(e.bMarks[h]),e.bMarks[h]=D;D<q&&(i=e.src.charCodeAt(D),n(i));)9===i?f+=4-(f+e.bsCount[h]+(o?1:0))%4:f++,D++;u=D>=q,m.push(e.bsCount[h]),e.bsCount[h]=e.sCount[h]+1+(v?1:0),b.push(e.sCount[h]),e.sCount[h]=f-c,k.push(e.tShift[h]),e.tShift[h]=D-e.bMarks[h]}for(_=e.blkIndent,e.blkIndent=0,(C=e.push(\"blockquote_open\",\"blockquote\",1)).markup=\">\",C.map=p=[r,0],e.md.block.tokenize(e,r,h),(C=e.push(\"blockquote_close\",\"blockquote\",-1)).markup=\">\",e.lineMax=w,e.parentType=g,p[1]=e.line,a=0;a<k.length;a++)e.bMarks[a+r]=d[a],e.tShift[a+r]=k[a],e.sCount[a+r]=b[a],e.bsCount[a+r]=m[a];return e.blkIndent=_,!0}},{\"../common/utils\":4}],19:[function(e,r,t){\"use strict\";r.exports=function(e,r,t){var n,s,o;if(e.sCount[r]-e.blkIndent<4)return!1;for(s=n=r+1;n<t;)if(e.isEmpty(n))n++;else{if(!(e.sCount[n]-e.blkIndent>=4))break;s=++n}return e.line=s,o=e.push(\"code_block\",\"code\",0),o.content=e.getLines(r,s,4+e.blkIndent,!0),o.map=[r,e.line],!0}},{}],20:[function(e,r,t){\"use strict\";r.exports=function(e,r,t,n){var s,o,i,a,c,l,u,p=!1,h=e.bMarks[r]+e.tShift[r],f=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(h+3>f)return!1;if(126!==(s=e.src.charCodeAt(h))&&96!==s)return!1;if(c=h,h=e.skipChars(h,s),(o=h-c)<3)return!1;if(u=e.src.slice(c,h),(i=e.src.slice(h,f)).indexOf(String.fromCharCode(s))>=0)return!1;if(n)return!0;for(a=r;!(++a>=t)&&(h=c=e.bMarks[a]+e.tShift[a],f=e.eMarks[a],!(h<f&&e.sCount[a]<e.blkIndent));)if(e.src.charCodeAt(h)===s&&!(e.sCount[a]-e.blkIndent>=4||(h=e.skipChars(h,s))-c<o||(h=e.skipSpaces(h))<f)){p=!0;break}return o=e.sCount[r],e.line=a+(p?1:0),l=e.push(\"fence\",\"code\",0),l.info=i,l.content=e.getLines(r+1,a,o,!0),l.markup=u,l.map=[r,e.line],!0}},{}],21:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,s){var o,i,a,c,l=e.bMarks[r]+e.tShift[r],u=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(35!==(o=e.src.charCodeAt(l))||l>=u)return!1;for(i=1,o=e.src.charCodeAt(++l);35===o&&l<u&&i<=6;)i++,o=e.src.charCodeAt(++l);return!(i>6||l<u&&!n(o))&&(!!s||(u=e.skipSpacesBack(u,l),(a=e.skipCharsBack(u,35,l))>l&&n(e.src.charCodeAt(a-1))&&(u=a),e.line=r+1,c=e.push(\"heading_open\",\"h\"+String(i),1),c.markup=\"########\".slice(0,i),c.map=[r,e.line],c=e.push(\"inline\",\"\",0),c.content=e.src.slice(l,u).trim(),c.map=[r,e.line],c.children=[],c=e.push(\"heading_close\",\"h\"+String(i),-1),c.markup=\"########\".slice(0,i),!0))}},{\"../common/utils\":4}],22:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,s){var o,i,a,c,l=e.bMarks[r]+e.tShift[r],u=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(42!==(o=e.src.charCodeAt(l++))&&45!==o&&95!==o)return!1;for(i=1;l<u;){if((a=e.src.charCodeAt(l++))!==o&&!n(a))return!1;a===o&&i++}return!(i<3)&&(!!s||(e.line=r+1,c=e.push(\"hr\",\"hr\",0),c.map=[r,e.line],c.markup=Array(i+1).join(String.fromCharCode(o)),!0))}},{\"../common/utils\":4}],23:[function(e,r,t){\"use strict\";var n=e(\"../common/html_blocks\"),s=e(\"../common/html_re\").HTML_OPEN_CLOSE_TAG_RE,o=[[/^<(script|pre|style)(?=(\\s|>|$))/i,/<\\/(script|pre|style)>/i,!0],[/^<!--/,/-->/,!0],[/^<\\?/,/\\?>/,!0],[/^<![A-Z]/,/>/,!0],[/^<!\\[CDATA\\[/,/\\]\\]>/,!0],[new RegExp(\"^</?(\"+n.join(\"|\")+\")(?=(\\\\s|/?>|$))\",\"i\"),/^$/,!0],[new RegExp(s.source+\"\\\\s*$\"),/^$/,!1]];r.exports=function(e,r,t,n){var s,i,a,c,l=e.bMarks[r]+e.tShift[r],u=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(!e.md.options.html)return!1;if(60!==e.src.charCodeAt(l))return!1;for(c=e.src.slice(l,u),s=0;s<o.length&&!o[s][0].test(c);s++);if(s===o.length)return!1;if(n)return o[s][2];if(i=r+1,!o[s][1].test(c))for(;i<t&&!(e.sCount[i]<e.blkIndent);i++)if(l=e.bMarks[i]+e.tShift[i],u=e.eMarks[i],c=e.src.slice(l,u),o[s][1].test(c)){0!==c.length&&i++;break}return e.line=i,a=e.push(\"html_block\",\"\",0),a.map=[r,i],a.content=e.getLines(r,i,e.blkIndent,!0),!0}},{\"../common/html_blocks\":2,\"../common/html_re\":3}],24:[function(e,r,t){\"use strict\";r.exports=function(e,r,t){var n,s,o,i,a,c,l,u,p,h,f=r+1,d=e.md.block.ruler.getRules(\"paragraph\");if(e.sCount[r]-e.blkIndent>=4)return!1;for(h=e.parentType,e.parentType=\"paragraph\";f<t&&!e.isEmpty(f);f++)if(!(e.sCount[f]-e.blkIndent>3)){if(e.sCount[f]>=e.blkIndent&&(c=e.bMarks[f]+e.tShift[f],l=e.eMarks[f],c<l&&(45===(p=e.src.charCodeAt(c))||61===p)&&(c=e.skipChars(c,p),(c=e.skipSpaces(c))>=l))){u=61===p?1:2;break}if(!(e.sCount[f]<0)){for(s=!1,o=0,i=d.length;o<i;o++)if(d[o](e,f,t,!0)){s=!0;break}if(s)break}}return!!u&&(n=e.getLines(r,f,e.blkIndent,!1).trim(),e.line=f+1,a=e.push(\"heading_open\",\"h\"+String(u),1),a.markup=String.fromCharCode(p),a.map=[r,e.line],a=e.push(\"inline\",\"\",0),a.content=n,a.map=[r,e.line-1],a.children=[],a=e.push(\"heading_close\",\"h\"+String(u),-1),a.markup=String.fromCharCode(p),e.parentType=h,!0)}},{}],25:[function(e,r,t){\"use strict\";function n(e,r){var t,n,s,o;return n=e.bMarks[r]+e.tShift[r],s=e.eMarks[r],42!==(t=e.src.charCodeAt(n++))&&45!==t&&43!==t?-1:n<s&&(o=e.src.charCodeAt(n),!i(o))?-1:n}function s(e,r){var t,n=e.bMarks[r]+e.tShift[r],s=n,o=e.eMarks[r];if(s+1>=o)return-1;if((t=e.src.charCodeAt(s++))<48||t>57)return-1;for(;;){if(s>=o)return-1;if(!((t=e.src.charCodeAt(s++))>=48&&t<=57)){if(41===t||46===t)break;return-1}if(s-n>=10)return-1}return s<o&&(t=e.src.charCodeAt(s),!i(t))?-1:s}function o(e,r){var t,n,s=e.level+2;for(t=r+2,n=e.tokens.length-2;t<n;t++)e.tokens[t].level===s&&\"paragraph_open\"===e.tokens[t].type&&(e.tokens[t+2].hidden=!0,e.tokens[t].hidden=!0,t+=2)}var i=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,i){var a,c,l,u,p,h,f,d,m,_,g,b,k,v,x,y,C,A,w,D,q,E,S,F,L,z,T,I,R=!1,M=!0;if(e.sCount[r]-e.blkIndent>=4)return!1;if(i&&\"paragraph\"===e.parentType&&e.tShift[r]>=e.blkIndent&&(R=!0),(S=s(e,r))>=0){if(f=!0,L=e.bMarks[r]+e.tShift[r],k=Number(e.src.substr(L,S-L-1)),R&&1!==k)return!1}else{if(!((S=n(e,r))>=0))return!1;f=!1}if(R&&e.skipSpaces(S)>=e.eMarks[r])return!1;if(b=e.src.charCodeAt(S-1),i)return!0;for(g=e.tokens.length,f?(I=e.push(\"ordered_list_open\",\"ol\",1),1!==k&&(I.attrs=[[\"start\",k]])):I=e.push(\"bullet_list_open\",\"ul\",1),I.map=_=[r,0],I.markup=String.fromCharCode(b),x=r,F=!1,T=e.md.block.ruler.getRules(\"list\"),w=e.parentType,e.parentType=\"list\";x<t;){for(E=S,v=e.eMarks[x],h=y=e.sCount[x]+S-(e.bMarks[r]+e.tShift[r]);E<v;){if(9===(a=e.src.charCodeAt(E)))y+=4-(y+e.bsCount[x])%4;else{if(32!==a)break;y++}E++}if(c=E,(p=c>=v?1:y-h)>4&&(p=1),u=h+p,I=e.push(\"list_item_open\",\"li\",1),I.markup=String.fromCharCode(b),I.map=d=[r,0],C=e.blkIndent,q=e.tight,D=e.tShift[r],A=e.sCount[r],e.blkIndent=u,e.tight=!0,e.tShift[r]=c-e.bMarks[r],e.sCount[r]=y,c>=v&&e.isEmpty(r+1)?e.line=Math.min(e.line+2,t):e.md.block.tokenize(e,r,t,!0),e.tight&&!F||(M=!1),F=e.line-r>1&&e.isEmpty(e.line-1),e.blkIndent=C,e.tShift[r]=D,e.sCount[r]=A,e.tight=q,I=e.push(\"list_item_close\",\"li\",-1),I.markup=String.fromCharCode(b),x=r=e.line,d[1]=x,c=e.bMarks[r],x>=t)break;if(e.sCount[x]<e.blkIndent)break;for(z=!1,l=0,m=T.length;l<m;l++)if(T[l](e,x,t,!0)){z=!0;break}if(z)break;if(f){if((S=s(e,x))<0)break}else if((S=n(e,x))<0)break;if(b!==e.src.charCodeAt(S-1))break}return I=f?e.push(\"ordered_list_close\",\"ol\",-1):e.push(\"bullet_list_close\",\"ul\",-1),I.markup=String.fromCharCode(b),_[1]=x,e.line=x,e.parentType=w,M&&o(e,g),!0}},{\"../common/utils\":4}],26:[function(e,r,t){\"use strict\";r.exports=function(e,r){var t,n,s,o,i,a,c=r+1,l=e.md.block.ruler.getRules(\"paragraph\"),u=e.lineMax;for(a=e.parentType,e.parentType=\"paragraph\";c<u&&!e.isEmpty(c);c++)if(!(e.sCount[c]-e.blkIndent>3||e.sCount[c]<0)){for(n=!1,s=0,o=l.length;s<o;s++)if(l[s](e,c,u,!0)){n=!0;break}if(n)break}return t=e.getLines(r,c,e.blkIndent,!1).trim(),e.line=c,i=e.push(\"paragraph_open\",\"p\",1),i.map=[r,e.line],i=e.push(\"inline\",\"\",0),i.content=t,i.map=[r,e.line],i.children=[],i=e.push(\"paragraph_close\",\"p\",-1),e.parentType=a,!0}},{}],27:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").normalizeReference,s=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,o){var i,a,c,l,u,p,h,f,d,m,_,g,b,k,v,x,y=0,C=e.bMarks[r]+e.tShift[r],A=e.eMarks[r],w=r+1;if(e.sCount[r]-e.blkIndent>=4)return!1;if(91!==e.src.charCodeAt(C))return!1;for(;++C<A;)if(93===e.src.charCodeAt(C)&&92!==e.src.charCodeAt(C-1)){if(C+1===A)return!1;if(58!==e.src.charCodeAt(C+1))return!1;break}for(l=e.lineMax,v=e.md.block.ruler.getRules(\"reference\"),m=e.parentType,e.parentType=\"reference\";w<l&&!e.isEmpty(w);w++)if(!(e.sCount[w]-e.blkIndent>3||e.sCount[w]<0)){for(k=!1,p=0,h=v.length;p<h;p++)if(v[p](e,w,l,!0)){k=!0;break}if(k)break}for(A=(b=e.getLines(r,w,e.blkIndent,!1).trim()).length,C=1;C<A;C++){if(91===(i=b.charCodeAt(C)))return!1;if(93===i){d=C;break}10===i?y++:92===i&&++C<A&&10===b.charCodeAt(C)&&y++}if(d<0||58!==b.charCodeAt(d+1))return!1;for(C=d+2;C<A;C++)if(10===(i=b.charCodeAt(C)))y++;else if(!s(i))break;if(!(_=e.md.helpers.parseLinkDestination(b,C,A)).ok)return!1;if(u=e.md.normalizeLink(_.str),!e.md.validateLink(u))return!1;for(a=C=_.pos,c=y+=_.lines,g=C;C<A;C++)if(10===(i=b.charCodeAt(C)))y++;else if(!s(i))break;for(_=e.md.helpers.parseLinkTitle(b,C,A),C<A&&g!==C&&_.ok?(x=_.str,C=_.pos,y+=_.lines):(x=\"\",C=a,y=c);C<A&&(i=b.charCodeAt(C),s(i));)C++;if(C<A&&10!==b.charCodeAt(C)&&x)for(x=\"\",C=a,y=c;C<A&&(i=b.charCodeAt(C),s(i));)C++;return!(C<A&&10!==b.charCodeAt(C))&&(!!(f=n(b.slice(1,d)))&&(!!o||(void 0===e.env.references&&(e.env.references={}),void 0===e.env.references[f]&&(e.env.references[f]={title:x,href:u}),e.parentType=m,e.line=r+y+1,!0)))}},{\"../common/utils\":4}],28:[function(e,r,t){\"use strict\";function n(e,r,t,n){var s,i,a,c,l,u,p,h;for(this.src=e,this.md=r,this.env=t,this.tokens=n,this.bMarks=[],this.eMarks=[],this.tShift=[],this.sCount=[],this.bsCount=[],this.blkIndent=0,this.line=0,this.lineMax=0,this.tight=!1,this.ddIndent=-1,this.parentType=\"root\",this.level=0,this.result=\"\",h=!1,a=c=u=p=0,l=(i=this.src).length;c<l;c++){if(s=i.charCodeAt(c),!h){if(o(s)){u++,9===s?p+=4-p%4:p++;continue}h=!0}10!==s&&c!==l-1||(10!==s&&c++,this.bMarks.push(a),this.eMarks.push(c),this.tShift.push(u),this.sCount.push(p),this.bsCount.push(0),h=!1,u=0,p=0,a=c+1)}this.bMarks.push(i.length),this.eMarks.push(i.length),this.tShift.push(0),this.sCount.push(0),this.bsCount.push(0),this.lineMax=this.bMarks.length-1}var s=e(\"../token\"),o=e(\"../common/utils\").isSpace;n.prototype.push=function(e,r,t){var n=new s(e,r,t);return n.block=!0,t<0&&this.level--,n.level=this.level,t>0&&this.level++,this.tokens.push(n),n},n.prototype.isEmpty=function(e){return this.bMarks[e]+this.tShift[e]>=this.eMarks[e]},n.prototype.skipEmptyLines=function(e){for(var r=this.lineMax;e<r&&!(this.bMarks[e]+this.tShift[e]<this.eMarks[e]);e++);return e},n.prototype.skipSpaces=function(e){for(var r,t=this.src.length;e<t&&(r=this.src.charCodeAt(e),o(r));e++);return e},n.prototype.skipSpacesBack=function(e,r){if(e<=r)return e;for(;e>r;)if(!o(this.src.charCodeAt(--e)))return e+1;return e},n.prototype.skipChars=function(e,r){for(var t=this.src.length;e<t&&this.src.charCodeAt(e)===r;e++);return e},n.prototype.skipCharsBack=function(e,r,t){if(e<=t)return e;for(;e>t;)if(r!==this.src.charCodeAt(--e))return e+1;return e},n.prototype.getLines=function(e,r,t,n){var s,i,a,c,l,u,p,h=e;if(e>=r)return\"\";for(u=new Array(r-e),s=0;h<r;h++,s++){for(i=0,p=c=this.bMarks[h],l=h+1<r||n?this.eMarks[h]+1:this.eMarks[h];c<l&&i<t;){if(a=this.src.charCodeAt(c),o(a))9===a?i+=4-(i+this.bsCount[h])%4:i++;else{if(!(c-p<this.tShift[h]))break;i++}c++}u[s]=i>t?new Array(i-t+1).join(\" \")+this.src.slice(c,l):this.src.slice(c,l)}return u.join(\"\")},n.prototype.Token=s,r.exports=n},{\"../common/utils\":4,\"../token\":51}],29:[function(e,r,t){\"use strict\";function n(e,r){var t=e.bMarks[r]+e.blkIndent,n=e.eMarks[r];return e.src.substr(t,n-t)}function s(e){var r,t=[],n=0,s=e.length,o=0,i=0,a=!1,c=0;for(r=e.charCodeAt(n);n<s;)96===r?a?(a=!1,c=n):o%2==0&&(a=!0,c=n):124!==r||o%2!=0||a||(t.push(e.substring(i,n)),i=n+1),92===r?o++:o=0,++n===s&&a&&(a=!1,n=c+1),r=e.charCodeAt(n);return t.push(e.substring(i)),t}var o=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,i){var a,c,l,u,p,h,f,d,m,_,g,b;if(r+2>t)return!1;if(p=r+1,e.sCount[p]<e.blkIndent)return!1;if(e.sCount[p]-e.blkIndent>=4)return!1;if((l=e.bMarks[p]+e.tShift[p])>=e.eMarks[p])return!1;if(124!==(a=e.src.charCodeAt(l++))&&45!==a&&58!==a)return!1;for(;l<e.eMarks[p];){if(124!==(a=e.src.charCodeAt(l))&&45!==a&&58!==a&&!o(a))return!1;l++}for(h=(c=n(e,r+1)).split(\"|\"),m=[],u=0;u<h.length;u++){if(!(_=h[u].trim())){if(0===u||u===h.length-1)continue;return!1}if(!/^:?-+:?$/.test(_))return!1;58===_.charCodeAt(_.length-1)?m.push(58===_.charCodeAt(0)?\"center\":\"right\"):58===_.charCodeAt(0)?m.push(\"left\"):m.push(\"\")}if(-1===(c=n(e,r).trim()).indexOf(\"|\"))return!1;if(e.sCount[r]-e.blkIndent>=4)return!1;if(h=s(c.replace(/^\\||\\|$/g,\"\")),(f=h.length)>m.length)return!1;if(i)return!0;for((d=e.push(\"table_open\",\"table\",1)).map=g=[r,0],(d=e.push(\"thead_open\",\"thead\",1)).map=[r,r+1],(d=e.push(\"tr_open\",\"tr\",1)).map=[r,r+1],u=0;u<h.length;u++)(d=e.push(\"th_open\",\"th\",1)).map=[r,r+1],m[u]&&(d.attrs=[[\"style\",\"text-align:\"+m[u]]]),(d=e.push(\"inline\",\"\",0)).content=h[u].trim(),d.map=[r,r+1],d.children=[],d=e.push(\"th_close\",\"th\",-1);for(d=e.push(\"tr_close\",\"tr\",-1),d=e.push(\"thead_close\",\"thead\",-1),(d=e.push(\"tbody_open\",\"tbody\",1)).map=b=[r+2,0],p=r+2;p<t&&!(e.sCount[p]<e.blkIndent)&&-1!==(c=n(e,p).trim()).indexOf(\"|\")&&!(e.sCount[p]-e.blkIndent>=4);p++){for(h=s(c.replace(/^\\||\\|$/g,\"\")),d=e.push(\"tr_open\",\"tr\",1),u=0;u<f;u++)d=e.push(\"td_open\",\"td\",1),m[u]&&(d.attrs=[[\"style\",\"text-align:\"+m[u]]]),(d=e.push(\"inline\",\"\",0)).content=h[u]?h[u].trim():\"\",d.children=[],d=e.push(\"td_close\",\"td\",-1);d=e.push(\"tr_close\",\"tr\",-1)}return d=e.push(\"tbody_close\",\"tbody\",-1),d=e.push(\"table_close\",\"table\",-1),g[1]=b[1]=p,e.line=p,!0}},{\"../common/utils\":4}],30:[function(e,r,t){\"use strict\";r.exports=function(e){var r;e.inlineMode?((r=new e.Token(\"inline\",\"\",0)).content=e.src,r.map=[0,1],r.children=[],e.tokens.push(r)):e.md.block.parse(e.src,e.md,e.env,e.tokens)}},{}],31:[function(e,r,t){\"use strict\";r.exports=function(e){var r,t,n,s=e.tokens;for(t=0,n=s.length;t<n;t++)\"inline\"===(r=s[t]).type&&e.md.inline.parse(r.content,e.md,e.env,r.children)}},{}],32:[function(e,r,t){\"use strict\";function n(e){return/^<a[>\\s]/i.test(e)}function s(e){return/^<\\/a\\s*>/i.test(e)}var o=e(\"../common/utils\").arrayReplaceAt;r.exports=function(e){var r,t,i,a,c,l,u,p,h,f,d,m,_,g,b,k,v,x=e.tokens;if(e.md.options.linkify)for(t=0,i=x.length;t<i;t++)if(\"inline\"===x[t].type&&e.md.linkify.pretest(x[t].content))for(_=0,r=(a=x[t].children).length-1;r>=0;r--)if(\"link_close\"!==(l=a[r]).type){if(\"html_inline\"===l.type&&(n(l.content)&&_>0&&_--,s(l.content)&&_++),!(_>0)&&\"text\"===l.type&&e.md.linkify.test(l.content)){for(h=l.content,v=e.md.linkify.match(h),u=[],m=l.level,d=0,p=0;p<v.length;p++)g=v[p].url,b=e.md.normalizeLink(g),e.md.validateLink(b)&&(k=v[p].text,k=v[p].schema?\"mailto:\"!==v[p].schema||/^mailto:/i.test(k)?e.md.normalizeLinkText(k):e.md.normalizeLinkText(\"mailto:\"+k).replace(/^mailto:/,\"\"):e.md.normalizeLinkText(\"http://\"+k).replace(/^http:\\/\\//,\"\"),(f=v[p].index)>d&&((c=new e.Token(\"text\",\"\",0)).content=h.slice(d,f),c.level=m,u.push(c)),(c=new e.Token(\"link_open\",\"a\",1)).attrs=[[\"href\",b]],c.level=m++,c.markup=\"linkify\",c.info=\"auto\",u.push(c),(c=new e.Token(\"text\",\"\",0)).content=k,c.level=m,u.push(c),(c=new e.Token(\"link_close\",\"a\",-1)).level=--m,c.markup=\"linkify\",c.info=\"auto\",u.push(c),d=v[p].lastIndex);d<h.length&&((c=new e.Token(\"text\",\"\",0)).content=h.slice(d),c.level=m,u.push(c)),x[t].children=a=o(a,r,u)}}else for(r--;a[r].level!==l.level&&\"link_open\"!==a[r].type;)r--}},{\"../common/utils\":4}],33:[function(e,r,t){\"use strict\";var n=/\\r[\\n\\u0085]?|[\\u2424\\u2028\\u0085]/g,s=/\\u0000/g;r.exports=function(e){var r;r=(r=e.src.replace(n,\"\\n\")).replace(s,\"\\ufffd\"),e.src=r}},{}],34:[function(e,r,t){\"use strict\";function n(e,r){return l[r.toLowerCase()]}function s(e){var r,t,s=0;for(r=e.length-1;r>=0;r--)\"text\"!==(t=e[r]).type||s||(t.content=t.content.replace(c,n)),\"link_open\"===t.type&&\"auto\"===t.info&&s--,\"link_close\"===t.type&&\"auto\"===t.info&&s++}function o(e){var r,t,n=0;for(r=e.length-1;r>=0;r--)\"text\"!==(t=e[r]).type||n||i.test(t.content)&&(t.content=t.content.replace(/\\+-/g,\"\\xb1\").replace(/\\.{2,}/g,\"\\u2026\").replace(/([?!])\\u2026/g,\"$1..\").replace(/([?!]){4,}/g,\"$1$1$1\").replace(/,{2,}/g,\",\").replace(/(^|[^-])---([^-]|$)/gm,\"$1\\u2014$2\").replace(/(^|\\s)--(\\s|$)/gm,\"$1\\u2013$2\").replace(/(^|[^-\\s])--([^-\\s]|$)/gm,\"$1\\u2013$2\")),\"link_open\"===t.type&&\"auto\"===t.info&&n--,\"link_close\"===t.type&&\"auto\"===t.info&&n++}var i=/\\+-|\\.\\.|\\?\\?\\?\\?|!!!!|,,|--/,a=/\\((c|tm|r|p)\\)/i,c=/\\((c|tm|r|p)\\)/gi,l={c:\"\\xa9\",r:\"\\xae\",p:\"\\xa7\",tm:\"\\u2122\"};r.exports=function(e){var r;if(e.md.options.typographer)for(r=e.tokens.length-1;r>=0;r--)\"inline\"===e.tokens[r].type&&(a.test(e.tokens[r].content)&&s(e.tokens[r].children),i.test(e.tokens[r].content)&&o(e.tokens[r].children))}},{}],35:[function(e,r,t){\"use strict\";function n(e,r,t){return e.substr(0,r)+t+e.substr(r+1)}function s(e,r){var t,s,c,p,h,f,d,m,_,g,b,k,v,x,y,C,A,w,D,q,E;for(D=[],t=0;t<e.length;t++){for(s=e[t],d=e[t].level,A=D.length-1;A>=0&&!(D[A].level<=d);A--);if(D.length=A+1,\"text\"===s.type){h=0,f=(c=s.content).length;e:for(;h<f&&(l.lastIndex=h,p=l.exec(c));){if(y=C=!0,h=p.index+1,w=\"'\"===p[0],_=32,p.index-1>=0)_=c.charCodeAt(p.index-1);else for(A=t-1;A>=0;A--)if(\"text\"===e[A].type){_=e[A].content.charCodeAt(e[A].content.length-1);break}if(g=32,h<f)g=c.charCodeAt(h);else for(A=t+1;A<e.length;A++)if(\"text\"===e[A].type){g=e[A].content.charCodeAt(0);break}if(b=a(_)||i(String.fromCharCode(_)),k=a(g)||i(String.fromCharCode(g)),v=o(_),(x=o(g))?y=!1:k&&(v||b||(y=!1)),v?C=!1:b&&(x||k||(C=!1)),34===g&&'\"'===p[0]&&_>=48&&_<=57&&(C=y=!1),y&&C&&(y=!1,C=k),y||C){if(C)for(A=D.length-1;A>=0&&(m=D[A],!(D[A].level<d));A--)if(m.single===w&&D[A].level===d){m=D[A],w?(q=r.md.options.quotes[2],E=r.md.options.quotes[3]):(q=r.md.options.quotes[0],E=r.md.options.quotes[1]),s.content=n(s.content,p.index,E),e[m.token].content=n(e[m.token].content,m.pos,q),h+=E.length-1,m.token===t&&(h+=q.length-1),f=(c=s.content).length,D.length=A;continue e}y?D.push({token:t,pos:p.index,single:w,level:d}):C&&w&&(s.content=n(s.content,p.index,u))}else w&&(s.content=n(s.content,p.index,u))}}}}var o=e(\"../common/utils\").isWhiteSpace,i=e(\"../common/utils\").isPunctChar,a=e(\"../common/utils\").isMdAsciiPunct,c=/['\"]/,l=/['\"]/g,u=\"\\u2019\";r.exports=function(e){var r;if(e.md.options.typographer)for(r=e.tokens.length-1;r>=0;r--)\"inline\"===e.tokens[r].type&&c.test(e.tokens[r].content)&&s(e.tokens[r].children,e)}},{\"../common/utils\":4}],36:[function(e,r,t){\"use strict\";function n(e,r,t){this.src=e,this.env=t,this.tokens=[],this.inlineMode=!1,this.md=r}var s=e(\"../token\");n.prototype.Token=s,r.exports=n},{\"../token\":51}],37:[function(e,r,t){\"use strict\";var n=/^<([a-zA-Z0-9.!#$%&'*+\\/=?^_`{|}~-]+@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*)>/,s=/^<([a-zA-Z][a-zA-Z0-9+.\\-]{1,31}):([^<>\\x00-\\x20]*)>/;r.exports=function(e,r){var t,o,i,a,c,l,u=e.pos;return 60===e.src.charCodeAt(u)&&!((t=e.src.slice(u)).indexOf(\">\")<0||(s.test(t)?(o=t.match(s),a=o[0].slice(1,-1),c=e.md.normalizeLink(a),!e.md.validateLink(c)||(r||((l=e.push(\"link_open\",\"a\",1)).attrs=[[\"href\",c]],l.markup=\"autolink\",l.info=\"auto\",(l=e.push(\"text\",\"\",0)).content=e.md.normalizeLinkText(a),(l=e.push(\"link_close\",\"a\",-1)).markup=\"autolink\",l.info=\"auto\"),e.pos+=o[0].length,0)):!n.test(t)||(i=t.match(n),a=i[0].slice(1,-1),c=e.md.normalizeLink(\"mailto:\"+a),!e.md.validateLink(c)||(r||((l=e.push(\"link_open\",\"a\",1)).attrs=[[\"href\",c]],l.markup=\"autolink\",l.info=\"auto\",(l=e.push(\"text\",\"\",0)).content=e.md.normalizeLinkText(a),(l=e.push(\"link_close\",\"a\",-1)).markup=\"autolink\",l.info=\"auto\"),e.pos+=i[0].length,0))))}},{}],38:[function(e,r,t){\"use strict\";r.exports=function(e,r){var t,n,s,o,i,a,c=e.pos;if(96!==e.src.charCodeAt(c))return!1;for(t=c,c++,n=e.posMax;c<n&&96===e.src.charCodeAt(c);)c++;for(s=e.src.slice(t,c),o=i=c;-1!==(o=e.src.indexOf(\"`\",i));){for(i=o+1;i<n&&96===e.src.charCodeAt(i);)i++;if(i-o===s.length)return r||((a=e.push(\"code_inline\",\"code\",0)).markup=s,a.content=e.src.slice(c,o).replace(/[ \\n]+/g,\" \").trim()),e.pos=i,!0}return r||(e.pending+=s),e.pos+=s.length,!0}},{}],39:[function(e,r,t){\"use strict\";r.exports=function(e){var r,t,n,s,o=e.delimiters,i=e.delimiters.length;for(r=0;r<i;r++)if((n=o[r]).close)for(t=r-n.jump-1;t>=0;){if((s=o[t]).open&&s.marker===n.marker&&s.end<0&&s.level===n.level&&!((s.close||n.open)&&void 0!==s.length&&void 0!==n.length&&(s.length+n.length)%3==0)){n.jump=r-t,n.open=!1,s.end=r,s.jump=0;break}t-=s.jump+1}}},{}],40:[function(e,r,t){\"use strict\";r.exports.tokenize=function(e,r){var t,n,s=e.pos,o=e.src.charCodeAt(s);if(r)return!1;if(95!==o&&42!==o)return!1;for(n=e.scanDelims(e.pos,42===o),t=0;t<n.length;t++)e.push(\"text\",\"\",0).content=String.fromCharCode(o),e.delimiters.push({marker:o,length:n.length,jump:t,token:e.tokens.length-1,level:e.level,end:-1,open:n.can_open,close:n.can_close});return e.pos+=n.length,!0},r.exports.postProcess=function(e){var r,t,n,s,o,i,a=e.delimiters;for(r=e.delimiters.length-1;r>=0;r--)95!==(t=a[r]).marker&&42!==t.marker||-1!==t.end&&(n=a[t.end],i=r>0&&a[r-1].end===t.end+1&&a[r-1].token===t.token-1&&a[t.end+1].token===n.token+1&&a[r-1].marker===t.marker,o=String.fromCharCode(t.marker),(s=e.tokens[t.token]).type=i?\"strong_open\":\"em_open\",s.tag=i?\"strong\":\"em\",s.nesting=1,s.markup=i?o+o:o,s.content=\"\",(s=e.tokens[n.token]).type=i?\"strong_close\":\"em_close\",s.tag=i?\"strong\":\"em\",s.nesting=-1,s.markup=i?o+o:o,s.content=\"\",i&&(e.tokens[a[r-1].token].content=\"\",e.tokens[a[t.end+1].token].content=\"\",r--))}},{}],41:[function(e,r,t){\"use strict\";var n=e(\"../common/entities\"),s=e(\"../common/utils\").has,o=e(\"../common/utils\").isValidEntityCode,i=e(\"../common/utils\").fromCodePoint,a=/^&#((?:x[a-f0-9]{1,8}|[0-9]{1,8}));/i,c=/^&([a-z][a-z0-9]{1,31});/i;r.exports=function(e,r){var t,l,u=e.pos,p=e.posMax;if(38!==e.src.charCodeAt(u))return!1;if(u+1<p)if(35===e.src.charCodeAt(u+1)){if(l=e.src.slice(u).match(a))return r||(t=\"x\"===l[1][0].toLowerCase()?parseInt(l[1].slice(1),16):parseInt(l[1],10),e.pending+=i(o(t)?t:65533)),e.pos+=l[0].length,!0}else if((l=e.src.slice(u).match(c))&&s(n,l[1]))return r||(e.pending+=n[l[1]]),e.pos+=l[0].length,!0;return r||(e.pending+=\"&\"),e.pos++,!0}},{\"../common/entities\":1,\"../common/utils\":4}],42:[function(e,r,t){\"use strict\";for(var n=e(\"../common/utils\").isSpace,s=[],o=0;o<256;o++)s.push(0);\"\\\\!\\\"#$%&'()*+,./:;<=>?@[]^_`{|}~-\".split(\"\").forEach(function(e){s[e.charCodeAt(0)]=1}),r.exports=function(e,r){var t,o=e.pos,i=e.posMax;if(92!==e.src.charCodeAt(o))return!1;if(++o<i){if((t=e.src.charCodeAt(o))<256&&0!==s[t])return r||(e.pending+=e.src[o]),e.pos+=2,!0;if(10===t){for(r||e.push(\"hardbreak\",\"br\",0),o++;o<i&&(t=e.src.charCodeAt(o),n(t));)o++;return e.pos=o,!0}}return r||(e.pending+=\"\\\\\"),e.pos++,!0}},{\"../common/utils\":4}],43:[function(e,r,t){\"use strict\";function n(e){var r=32|e;return r>=97&&r<=122}var s=e(\"../common/html_re\").HTML_TAG_RE;r.exports=function(e,r){var t,o,i,a=e.pos;return!!e.md.options.html&&(i=e.posMax,!(60!==e.src.charCodeAt(a)||a+2>=i)&&(!(33!==(t=e.src.charCodeAt(a+1))&&63!==t&&47!==t&&!n(t))&&(!!(o=e.src.slice(a).match(s))&&(r||(e.push(\"html_inline\",\"\",0).content=e.src.slice(a,a+o[0].length)),e.pos+=o[0].length,!0))))}},{\"../common/html_re\":3}],44:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").normalizeReference,s=e(\"../common/utils\").isSpace;r.exports=function(e,r){var t,o,i,a,c,l,u,p,h,f,d,m,_,g=\"\",b=e.pos,k=e.posMax;if(33!==e.src.charCodeAt(e.pos))return!1;if(91!==e.src.charCodeAt(e.pos+1))return!1;if(l=e.pos+2,(c=e.md.helpers.parseLinkLabel(e,e.pos+1,!1))<0)return!1;if((u=c+1)<k&&40===e.src.charCodeAt(u)){for(u++;u<k&&(o=e.src.charCodeAt(u),s(o)||10===o);u++);if(u>=k)return!1;for(_=u,(h=e.md.helpers.parseLinkDestination(e.src,u,e.posMax)).ok&&(g=e.md.normalizeLink(h.str),e.md.validateLink(g)?u=h.pos:g=\"\"),_=u;u<k&&(o=e.src.charCodeAt(u),s(o)||10===o);u++);if(h=e.md.helpers.parseLinkTitle(e.src,u,e.posMax),u<k&&_!==u&&h.ok)for(f=h.str,u=h.pos;u<k&&(o=e.src.charCodeAt(u),s(o)||10===o);u++);else f=\"\";if(u>=k||41!==e.src.charCodeAt(u))return e.pos=b,!1;u++}else{if(void 0===e.env.references)return!1;if(u<k&&91===e.src.charCodeAt(u)?(_=u+1,(u=e.md.helpers.parseLinkLabel(e,u))>=0?a=e.src.slice(_,u++):u=c+1):u=c+1,a||(a=e.src.slice(l,c)),!(p=e.env.references[n(a)]))return e.pos=b,!1;g=p.href,f=p.title}return r||(i=e.src.slice(l,c),e.md.inline.parse(i,e.md,e.env,m=[]),(d=e.push(\"image\",\"img\",0)).attrs=t=[[\"src\",g],[\"alt\",\"\"]],d.children=m,d.content=i,f&&t.push([\"title\",f])),e.pos=u,e.posMax=k,!0}},{\"../common/utils\":4}],45:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").normalizeReference,s=e(\"../common/utils\").isSpace;r.exports=function(e,r){var t,o,i,a,c,l,u,p,h,f=\"\",d=e.pos,m=e.posMax,_=e.pos,g=!0;if(91!==e.src.charCodeAt(e.pos))return!1;if(c=e.pos+1,(a=e.md.helpers.parseLinkLabel(e,e.pos,!0))<0)return!1;if((l=a+1)<m&&40===e.src.charCodeAt(l)){for(g=!1,l++;l<m&&(o=e.src.charCodeAt(l),s(o)||10===o);l++);if(l>=m)return!1;for(_=l,(u=e.md.helpers.parseLinkDestination(e.src,l,e.posMax)).ok&&(f=e.md.normalizeLink(u.str),e.md.validateLink(f)?l=u.pos:f=\"\"),_=l;l<m&&(o=e.src.charCodeAt(l),s(o)||10===o);l++);if(u=e.md.helpers.parseLinkTitle(e.src,l,e.posMax),l<m&&_!==l&&u.ok)for(h=u.str,l=u.pos;l<m&&(o=e.src.charCodeAt(l),s(o)||10===o);l++);else h=\"\";(l>=m||41!==e.src.charCodeAt(l))&&(g=!0),l++}if(g){if(void 0===e.env.references)return!1;if(l<m&&91===e.src.charCodeAt(l)?(_=l+1,(l=e.md.helpers.parseLinkLabel(e,l))>=0?i=e.src.slice(_,l++):l=a+1):l=a+1,i||(i=e.src.slice(c,a)),!(p=e.env.references[n(i)]))return e.pos=d,!1;f=p.href,h=p.title}return r||(e.pos=c,e.posMax=a,e.push(\"link_open\",\"a\",1).attrs=t=[[\"href\",f]],h&&t.push([\"title\",h]),e.md.inline.tokenize(e),e.push(\"link_close\",\"a\",-1)),e.pos=l,e.posMax=m,!0}},{\"../common/utils\":4}],46:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").isSpace;r.exports=function(e,r){var t,s,o=e.pos;if(10!==e.src.charCodeAt(o))return!1;for(t=e.pending.length-1,s=e.posMax,r||(t>=0&&32===e.pending.charCodeAt(t)?t>=1&&32===e.pending.charCodeAt(t-1)?(e.pending=e.pending.replace(/ +$/,\"\"),e.push(\"hardbreak\",\"br\",0)):(e.pending=e.pending.slice(0,-1),e.push(\"softbreak\",\"br\",0)):e.push(\"softbreak\",\"br\",0)),o++;o<s&&n(e.src.charCodeAt(o));)o++;return e.pos=o,!0}},{\"../common/utils\":4}],47:[function(e,r,t){\"use strict\";function n(e,r,t,n){this.src=e,this.env=t,this.md=r,this.tokens=n,this.pos=0,this.posMax=this.src.length,this.level=0,this.pending=\"\",this.pendingLevel=0,this.cache={},this.delimiters=[]}var s=e(\"../token\"),o=e(\"../common/utils\").isWhiteSpace,i=e(\"../common/utils\").isPunctChar,a=e(\"../common/utils\").isMdAsciiPunct;n.prototype.pushPending=function(){var e=new s(\"text\",\"\",0);return e.content=this.pending,e.level=this.pendingLevel,this.tokens.push(e),this.pending=\"\",e},n.prototype.push=function(e,r,t){this.pending&&this.pushPending();var n=new s(e,r,t);return t<0&&this.level--,n.level=this.level,t>0&&this.level++,this.pendingLevel=this.level,this.tokens.push(n),n},n.prototype.scanDelims=function(e,r){var t,n,s,c,l,u,p,h,f,d=e,m=!0,_=!0,g=this.posMax,b=this.src.charCodeAt(e);for(t=e>0?this.src.charCodeAt(e-1):32;d<g&&this.src.charCodeAt(d)===b;)d++;return s=d-e,n=d<g?this.src.charCodeAt(d):32,p=a(t)||i(String.fromCharCode(t)),f=a(n)||i(String.fromCharCode(n)),u=o(t),(h=o(n))?m=!1:f&&(u||p||(m=!1)),u?_=!1:p&&(h||f||(_=!1)),r?(c=m,l=_):(c=m&&(!_||p),l=_&&(!m||f)),{can_open:c,can_close:l,length:s}},n.prototype.Token=s,r.exports=n},{\"../common/utils\":4,\"../token\":51}],48:[function(e,r,t){\"use strict\";r.exports.tokenize=function(e,r){var t,n,s,o,i=e.pos,a=e.src.charCodeAt(i);if(r)return!1;if(126!==a)return!1;if(n=e.scanDelims(e.pos,!0),s=n.length,o=String.fromCharCode(a),s<2)return!1;for(s%2&&(e.push(\"text\",\"\",0).content=o,s--),t=0;t<s;t+=2)e.push(\"text\",\"\",0).content=o+o,e.delimiters.push({marker:a,jump:t,token:e.tokens.length-1,level:e.level,end:-1,open:n.can_open,close:n.can_close});return e.pos+=n.length,!0},r.exports.postProcess=function(e){var r,t,n,s,o,i=[],a=e.delimiters,c=e.delimiters.length;for(r=0;r<c;r++)126===(n=a[r]).marker&&-1!==n.end&&(s=a[n.end],(o=e.tokens[n.token]).type=\"s_open\",o.tag=\"s\",o.nesting=1,o.markup=\"~~\",o.content=\"\",(o=e.tokens[s.token]).type=\"s_close\",o.tag=\"s\",o.nesting=-1,o.markup=\"~~\",o.content=\"\",\"text\"===e.tokens[s.token-1].type&&\"~\"===e.tokens[s.token-1].content&&i.push(s.token-1));for(;i.length;){for(t=(r=i.pop())+1;t<e.tokens.length&&\"s_close\"===e.tokens[t].type;)t++;r!==--t&&(o=e.tokens[t],e.tokens[t]=e.tokens[r],e.tokens[r]=o)}}},{}],49:[function(e,r,t){\"use strict\";function n(e){switch(e){case 10:case 33:case 35:case 36:case 37:case 38:case 42:case 43:case 45:case 58:case 60:case 61:case 62:case 64:case 91:case 92:case 93:case 94:case 95:case 96:case 123:case 125:case 126:return!0;default:return!1}}r.exports=function(e,r){for(var t=e.pos;t<e.posMax&&!n(e.src.charCodeAt(t));)t++;return t!==e.pos&&(r||(e.pending+=e.src.slice(e.pos,t)),e.pos=t,!0)}},{}],50:[function(e,r,t){\"use strict\";r.exports=function(e){var r,t,n=0,s=e.tokens,o=e.tokens.length;for(r=t=0;r<o;r++)n+=s[r].nesting,s[r].level=n,\"text\"===s[r].type&&r+1<o&&\"text\"===s[r+1].type?s[r+1].content=s[r].content+s[r+1].content:(r!==t&&(s[t]=s[r]),t++);r!==t&&(s.length=t)}},{}],51:[function(e,r,t){\"use strict\";function n(e,r,t){this.type=e,this.tag=r,this.attrs=null,this.map=null,this.nesting=t,this.level=0,this.children=null,this.content=\"\",this.markup=\"\",this.info=\"\",this.meta=null,this.block=!1,this.hidden=!1}n.prototype.attrIndex=function(e){var r,t,n;if(!this.attrs)return-1;for(t=0,n=(r=this.attrs).length;t<n;t++)if(r[t][0]===e)return t;return-1},n.prototype.attrPush=function(e){this.attrs?this.attrs.push(e):this.attrs=[e]},n.prototype.attrSet=function(e,r){var t=this.attrIndex(e),n=[e,r];t<0?this.attrPush(n):this.attrs[t]=n},n.prototype.attrGet=function(e){var r=this.attrIndex(e),t=null;return r>=0&&(t=this.attrs[r][1]),t},n.prototype.attrJoin=function(e,r){var t=this.attrIndex(e);t<0?this.attrPush([e,r]):this.attrs[t][1]=this.attrs[t][1]+\" 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t={};t.src_Any=e(\"uc.micro/properties/Any/regex\").source,t.src_Cc=e(\"uc.micro/categories/Cc/regex\").source,t.src_Z=e(\"uc.micro/categories/Z/regex\").source,t.src_P=e(\"uc.micro/categories/P/regex\").source,t.src_ZPCc=[t.src_Z,t.src_P,t.src_Cc].join(\"|\"),t.src_ZCc=[t.src_Z,t.src_Cc].join(\"|\");return t.src_pseudo_letter=\"(?:(?![><\\uff5c]|\"+t.src_ZPCc+\")\"+t.src_Any+\")\",t.src_ip4=\"(?:(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\",t.src_auth=\"(?:(?:(?!\"+t.src_ZCc+\"|[@/\\\\[\\\\]()]).)+@)?\",t.src_port=\"(?::(?:6(?:[0-4]\\\\d{3}|5(?:[0-4]\\\\d{2}|5(?:[0-2]\\\\d|3[0-5])))|[1-5]?\\\\d{1,4}))?\",t.src_host_terminator=\"(?=$|[><\\uff5c]|\"+t.src_ZPCc+\")(?!-|_|:\\\\d|\\\\.-|\\\\.(?!$|\"+t.src_ZPCc+\"))\",t.src_path=\"(?:[/?#](?:(?!\"+t.src_ZCc+\"|[><\\uff5c]|[()[\\\\]{}.,\\\"'?!\\\\-]).|\\\\[(?:(?!\"+t.src_ZCc+\"|\\\\]).)*\\\\]|\\\\((?:(?!\"+t.src_ZCc+\"|[)]).)*\\\\)|\\\\{(?:(?!\"+t.src_ZCc+'|[}]).)*\\\\}|\\\\\"(?:(?!'+t.src_ZCc+'|[\"]).)+\\\\\"|\\\\\\'(?:(?!'+t.src_ZCc+\"|[']).)+\\\\'|\\\\'(?=\"+t.src_pseudo_letter+\"|[-]).|\\\\.{2,3}[a-zA-Z0-9%/]|\\\\.(?!\"+t.src_ZCc+\"|[.]).|\"+(r&&r[\"---\"]?\"\\\\-(?!--(?:[^-]|$))(?:-*)|\":\"\\\\-+|\")+\"\\\\,(?!\"+t.src_ZCc+\").|\\\\!(?!\"+t.src_ZCc+\"|[!]).|\\\\?(?!\"+t.src_ZCc+\"|[?]).)+|\\\\/)?\",t.src_email_name='[\\\\-;:&=\\\\+\\\\$,\\\\\"\\\\.a-zA-Z0-9_]+',t.src_xn=\"xn--[a-z0-9\\\\-]{1,59}\",t.src_domain_root=\"(?:\"+t.src_xn+\"|\"+t.src_pseudo_letter+\"{1,63})\",t.src_domain=\"(?:\"+t.src_xn+\"|(?:\"+t.src_pseudo_letter+\")|(?:\"+t.src_pseudo_letter+\"(?:-(?!-)|\"+t.src_pseudo_letter+\"){0,61}\"+t.src_pseudo_letter+\"))\",t.src_host=\"(?:(?:(?:(?:\"+t.src_domain+\")\\\\.)*\"+t.src_domain+\"))\",t.tpl_host_fuzzy=\"(?:\"+t.src_ip4+\"|(?:(?:(?:\"+t.src_domain+\")\\\\.)+(?:%TLDS%)))\",t.tpl_host_no_ip_fuzzy=\"(?:(?:(?:\"+t.src_domain+\")\\\\.)+(?:%TLDS%))\",t.src_host_strict=t.src_host+t.src_host_terminator,t.tpl_host_fuzzy_strict=t.tpl_host_fuzzy+t.src_host_terminator,t.src_host_port_strict=t.src_host+t.src_port+t.src_host_terminator,t.tpl_host_port_fuzzy_strict=t.tpl_host_fuzzy+t.src_port+t.src_host_terminator,t.tpl_host_port_no_ip_fuzzy_strict=t.tpl_host_no_ip_fuzzy+t.src_port+t.src_host_terminator,t.tpl_host_fuzzy_test=\"localhost|www\\\\.|\\\\.\\\\d{1,3}\\\\.|(?:\\\\.(?:%TLDS%)(?:\"+t.src_ZPCc+\"|>|$))\",t.tpl_email_fuzzy=\"(^|[><\\uff5c]|\\\\(|\"+t.src_ZCc+\")(\"+t.src_email_name+\"@\"+t.tpl_host_fuzzy_strict+\")\",t.tpl_link_fuzzy=\"(^|(?![.:/\\\\-_@])(?:[$+<=>^`|\\uff5c]|\"+t.src_ZPCc+\"))((?![$+<=>^`|\\uff5c])\"+t.tpl_host_port_fuzzy_strict+t.src_path+\")\",t.tpl_link_no_ip_fuzzy=\"(^|(?![.:/\\\\-_@])(?:[$+<=>^`|\\uff5c]|\"+t.src_ZPCc+\"))((?![$+<=>^`|\\uff5c])\"+t.tpl_host_port_no_ip_fuzzy_strict+t.src_path+\")\",t}},{\"uc.micro/categories/Cc/regex\":61,\"uc.micro/categories/P/regex\":63,\"uc.micro/categories/Z/regex\":64,\"uc.micro/properties/Any/regex\":66}],55:[function(e,r,t){\"use 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"type": "application/javascript",
"title": "$:/plugins/anstosa/tw5-markdown/markdown.js",
"module-type": "library"
},
"$:/plugins/anstosa/tw5-markdown/markdown-checkbox.js": {
"text": "// Markdown-it plugin to render GitHub-style task lists; see\n//\n// https://github.com/blog/1375-task-lists-in-gfm-issues-pulls-comments\n// https://github.com/blog/1825-task-lists-in-all-markdown-documents\n\nmodule.exports = function(md, options) {\n\tvar defaults;\n\tdefaults = {\n\t disabled: true,\n\t divWrap: false,\n\t divClass: 'checkbox',\n\t idPrefix: 'cbx_',\n\t ulClass: 'task-list',\n\t liClass: 'task-list-item'\n\t};\n\toptions = Object.assign({}, defaults, options);\n\tmd.core.ruler.after('inline', 'github-task-lists', function(state) {\n\t\tvar tokens = state.tokens;\n\t\tvar lastId = 0;\n\t\tfor (var i = 2; i < tokens.length; i++) {\n\n\t\t\tif (isTodoItem(tokens, i)) {\n\t\t\t\ttodoify(tokens[i], lastId, options, state.Token);\n\t\t\t\tlastId += 1;\n\t\t\t\tattrSet(tokens[i-2], 'class', options.liClass);\n\t\t\t\tattrSet(tokens[parentToken(tokens, i-2)], 'class', options.ulClass);\n\t\t\t}\n\t\t}\n\t});\n};\n\nfunction attrSet(token, name, value) {\n\tvar index = token.attrIndex(name);\n\tvar attr = [name, value];\n\n\tif (index < 0) {\n\t\ttoken.attrPush(attr);\n\t} else {\n\t\ttoken.attrs[index] = attr;\n\t}\n}\n\nfunction parentToken(tokens, index) {\n\tvar targetLevel = tokens[index].level - 1;\n\tfor (var i = index - 1; i >= 0; i--) {\n\t\tif (tokens[i].level === targetLevel) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn -1;\n}\n\nfunction isTodoItem(tokens, index) {\n\treturn isInline(tokens[index]) &&\n\t isParagraph(tokens[index - 1]) &&\n\t isListItem(tokens[index - 2]) &&\n\t startsWithTodoMarkdown(tokens[index]);\n}\n\nfunction todoify(token, lastId, options, TokenConstructor) {\n\tvar id;\n\tid = options.idPrefix + lastId\n\ttoken.children[0].content = token.children[0].content.slice(3);\n\t// label\n\ttoken.children.unshift(beginLabel(id, TokenConstructor));\n\ttoken.children.push(endLabel(TokenConstructor));\n\t// checkbox\n\ttoken.children.unshift(makeCheckbox(token, id, options, TokenConstructor));\n\tif (options.divWrap) {\n\t\ttoken.children.unshift(beginWrap(options, TokenConstructor));\n\t\ttoken.children.push(endWrap(TokenConstructor));\n\t}\n}\n\nfunction makeCheckbox(token, id, options, TokenConstructor) {\n\tvar checkbox = new TokenConstructor('checkbox_input', 'input', 0);\n\tcheckbox.attrs = [[\"type\", \"checkbox\"], [\"id\", id]];\n\tvar checked = (token.content.indexOf('[x] ') === 0 || token.content.indexOf('[X] ') === 0)\n\tif (checked === true) {\n\t checkbox.attrs.push([\"checked\", \"true\"]);\n\t}\n\tif (options.disabled === true) {\n\t checkbox.attrs.push([\"disabled\", \"true\"]);\n\t}\n\t\n\treturn checkbox;\n}\n\nfunction beginLabel(id, TokenConstructor) {\n\tvar label = new TokenConstructor('label_open', 'label', 1);\n\tlabel.attrs = [[\"for\", id]];\n\treturn label;\n}\n\nfunction endLabel(TokenConstructor) {\n\treturn new TokenConstructor(\"label_close\", \"label\", -1);\n}\n\n// these next two functions are kind of hacky; probably should really be a\n// true block-level token with .tag=='label'\nfunction beginWrap(options, TokenConstructor) {\n\tvar token = new TokenConstructor('checkbox_open', 'div', 0);\n\ttoken.attrs = [[\"class\", options.divClass]];\n\treturn token;\n}\n\nfunction endWrap(TokenConstructor) {\n\tvar token = new TokenConstructor('checkbox_close', 'div', -1);\n\t// token.content = '</label>';\n\treturn token;\n}\n\nfunction isInline(token) { return token.type === 'inline'; }\nfunction isParagraph(token) { return token.type === 'paragraph_open'; }\nfunction isListItem(token) { return token.type === 'list_item_open'; }\n\nfunction startsWithTodoMarkdown(token) {\n\t// leading whitespace in a list item is already trimmed off by markdown-it\n\treturn token.content.indexOf('[ ] ') === 0 || token.content.indexOf('[x] ') === 0 || token.content.indexOf('[X] ') === 0;\n}\n",
"type": "application/javascript",
"title": "$:/plugins/anstosa/tw5-markdown/markdown-checkbox.js",
"module-type": "library"
},
"$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-external-link.js": {
"text": "/*\\\ntitle: $:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-external-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\ncondition: [<targetTiddler>type[text/x-markdown]]\n\\*/\n(() => {\n 'use strict';\n\n exports['make-external-link'] = (event, operation) => {\n operation.replacement = `[${operation.selection}](${event.paramObject.text})`;\n operation.cutStart = operation.selStart;\n operation.cutEnd = operation.selEnd;\n operation.newSelStart = operation.selStart + operation.replacement.length;\n operation.newSelEnd = operation.newSelStart;\n };\n\n})();\n",
"title": "$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-external-link.js",
"type": "application/javascript",
"module-type": "texteditoroperation",
"condition": "[<targetTiddler>type[text/x-markdown]]"
},
"$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-internal-link.js": {
"text": "/*\\\ntitle: $:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-internal-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\ncondition: [<targetTiddler>type[text/x-markdown]]\n\\*/\n(() => {\n 'use strict';\n\n exports['make-internal-link'] = (event, operation) => {\n const fragment = `#${encodeURIComponent(event.paramObject.text)}`;\n operation.replacement = `[${operation.selection}](${fragment})`;\n operation.cutStart = operation.selStart;\n operation.cutEnd = operation.selEnd;\n operation.newSelStart = operation.selStart + operation.replacement.length;\n operation.newSelEnd = operation.newSelStart;\n };\n\n})();\n",
"title": "$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-internal-link.js",
"type": "application/javascript",
"module-type": "texteditoroperation",
"condition": "[<targetTiddler>type[text/x-markdown]]"
},
"$:/core/ui/Buttons/new-tiddler": {
"title": "$:/core/ui/Buttons/new-tiddler",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
"description": "{{$:/language/Buttons/NewTiddler/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n <$action-sendmessage $message=\"tm-new-tiddler\" type=\"text/x-markdown\"/>\n <$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n {{$:/core/images/new-button}}\n </$list>\n <$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n <span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n </$list>\n</$button>\n"
},
"$:/plugins/anstosa/tw5-markdown/readme": {
"title": "$:/plugins/anstosa/tw5-markdown/readme",
"type": "text/x-markdown",
"text": "This a comprehensive Markdown plugin for TiddlyWiki including syntax from [GitHub Flavored Markdown](https://guides.github.com/features/mastering-markdown/)\n\n## Features\n\nSee the [plugin Usage page](#%24%3A%2Fplugins%2Fanstosa%2Ftw5-markdown%2Fusage) for a full demo of the supported features\n\n* **Backwards Compatible:** All your `TiddlyWiki 5` syntax still works (transclusion, macros, links, etc). Anything that the Markdown engine doesn't recognize falls back to the built-in parser.\n* Adds Markdown content type\n* Adds Markdown compatible editor toolbar\n* Defaults to Markdown for new tiddlers\n* Full set of rich Markdown features\n * Headings\n * Text: Bold, Italic, & Strikethrough\n * External and internal links\n * Embedded images\n * Blockquote\n * Lists: bulletted, numbered, & checkboxes\n * Tables\n * Horizontal rule\n * Code: inline and block with syntax highlighting\n\n## Installation\n\nTo add the plugin to your own TiddlyWiki5, just drag this link to the browser window:\n\n[[$:/plugins/anstosa/tw5-markdown]]\n\n## Contributing\n\n[github.com/anstosa/tw5-markdown](https://github.com/anstosa/tw5-markdown)\n"
},
"$:/plugins/anstosa/tw5-markdown/style.js": {
"title": "$:/plugins/anstosa/tw5-markdown/style.js",
"type": "text/css",
"tags": "$:/tags/Stylesheet",
"text": ".tc-drop-down button.tc-btn-inline {\n display: inline-block;\n width: auto;\n}\n\n.c-task-list {\n padding-left: 20px;\n}\n\n .c-task-list__item {\n align-items: center;\n display: flex;\n list-style: none;\n }\n\n [id^='c-task-list__item__checkbox__'] {\n margin-right: 5px;\n }\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/bold": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/bold",
"list-after": "$:/core/ui/EditorToolbar/bold",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/bold",
"caption": "{{$:/language/Buttons/Bold/Caption}}",
"description": "{{$:/language/Buttons/Bold/Hint}}",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((bold))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"**\"\n\tsuffix=\"**\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-1": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-1",
"list-after": "$:/core/ui/EditorToolbar/heading-1",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-1",
"caption": "{{$:/language/Buttons/Heading1/Caption}}",
"description": "{{$:/language/Buttons/Heading1/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-1))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-2": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-2",
"list-after": "$:/core/ui/EditorToolbar/heading-2",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-2",
"caption": "{{$:/language/Buttons/Heading2/Caption}}",
"description": "{{$:/language/Buttons/Heading2/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-2))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"2\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-3": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-3",
"list-after": "$:/core/ui/EditorToolbar/heading-3",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-3",
"caption": "{{$:/language/Buttons/Heading3/Caption}}",
"description": "{{$:/language/Buttons/Heading3/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-3))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"3\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-4": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-4",
"list-after": "$:/core/ui/EditorToolbar/heading-4",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-4",
"caption": "{{$:/language/Buttons/Heading4/Caption}}",
"description": "{{$:/language/Buttons/Heading4/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-4))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"4\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-5": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-5",
"list-after": "$:/core/ui/EditorToolbar/heading-5",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-5",
"caption": "{{$:/language/Buttons/Heading5/Caption}}",
"description": "{{$:/language/Buttons/Heading5/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-5))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"5\"\n/>\n"
},
"$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6": {
"title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6",
"list-after": "$:/core/ui/EditorToolbar/heading-6",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-6",
"caption": "{{$:/language/Buttons/Heading6/Caption}}",
"description": "{{$:/language/Buttons/Heading6/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-6))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"6\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/italic": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/italic",
"list-after": "$:/core/ui/EditorToolbar/italic",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/italic",
"caption": "{{$:/language/Buttons/Italic/Caption}}",
"description": "{{$:/language/Buttons/Italic/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((italic))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"_\"\n\tsuffix=\"_\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link-dropdown": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link-dropdown",
"text": "\\define create-external-link()\n <$action-sendmessage\n $message=\"tm-edit-text-operation\"\n $param=\"make-external-link\"\n text={{$(searchTiddler)$}}\n />\n <$action-deletetiddler $tiddler=<<dropdown-state>> />\n <$action-deletetiddler $tiddler=<<searchTiddler>> />\n <$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\\define create-internal-link()\n <$action-sendmessage\n $message=\"tm-edit-text-operation\"\n $param=\"make-internal-link\"\n text={{$(linkTiddler)$}}\n />\n <$action-deletetiddler $tiddler=<<dropdown-state>> />\n <$action-deletetiddler $tiddler=<<searchTiddler>> />\n <$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\n\\define body(config-title)\n ''Create link''\n\n <$vars\n searchTiddler=\"\"\"$config-title$/search\"\"\"\n linkTiddler=\"\"\"$config-title$/link\"\"\"\n >\n <$edit-text\n tiddler=<<searchTiddler>>\n type=\"search\"\n tag=\"input\"\n focus=\"true\"\n placeholder=\"Search or paste url\"\n default=\"\"\n />\n\n <$reveal tag=\"span\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n <$button\n actions=<<create-external-link>>\n class=\"tc-btn-invisible tc-btn-inline\"\n >\n {{$:/core/images/chevron-right}}\n </$button>\n\n <$button\n class=\"tc-btn-invisible tc-btn-inline\"\n >\n <$action-setfield $tiddler=<<searchTiddler>> text=\"\" />\n {{$:/core/images/close-button}}\n </$button>\n </$reveal>\n\n <$reveal tag=\"div\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n <$linkcatcher actions=<<create-internal-link>> to=<<linkTiddler>>>\n {{$:/core/ui/SearchResults}}\n </$linkcatcher>\n </$reveal>\n </$vars>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">> />\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/link",
"caption": "{{$:/language/Buttons/Link/Caption}}",
"description": "{{$:/language/Buttons/Link/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((link))",
"dropdown": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link-dropdown",
"text": ""
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-bullet": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-bullet",
"list-after": "$:/core/ui/EditorToolbar/list-bullet",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-bullet",
"caption": "{{$:/language/Buttons/ListBullet/Caption}}",
"description": "{{$:/language/Buttons/ListBullet/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((list-bullet))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-number": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-number",
"list-after": "$:/core/ui/EditorToolbar/list-number",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-number",
"caption": "{{$:/language/Buttons/ListNumber/Caption}}",
"description": "{{$:/language/Buttons/ListNumber/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((list-number))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"1.\"\n\tcount=\"1\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-block": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-block",
"list-after": "$:/core/ui/EditorToolbar/mono-line",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-block",
"caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
"description": "{{$:/language/Buttons/MonoBlock/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((mono-block))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-line": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-line",
"list-after": "$:/core/ui/EditorToolbar/mono-line",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-line",
"caption": "{{$:/language/Buttons/MonoLine/Caption}}",
"description": "{{$:/language/Buttons/MonoLine/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((mono-line))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/quote": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/quote",
"list-after": "$:/core/ui/EditorToolbar/quote",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/quote",
"caption": "{{$:/language/Buttons/Quote/Caption}}",
"description": "{{$:/language/Buttons/Quote/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((quote))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\">\"\n\tcount=\"1\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/strikethrough": {
"title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/strikethrough",
"list-after": "$:/core/ui/EditorToolbar/italic",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/strikethrough",
"caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
"description": "{{$:/language/Buttons/Strikethrough/Hint}} (Markdown)",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((strikethrough))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
},
"$:/plugins/anstosa/tw5-markdown/usage": {
"title": "$:/plugins/anstosa/tw5-markdown/usage",
"type": "text/x-markdown",
"text": "The following serves as a quick-reference for what is supported\n\n# Heading 1\n\n## Heading 2\n\n_Italic_\n\n**Bold**\n\n~~Strikethrough~~\n\n[External Link](https://a.com)\n\n[Internal Link](#Your Page)\n\n\n\n> Blockquote\n\n* List\n* List\n* List\n\n1. One\n2. Two\n3. Three\n\n- [ ] foo\n- [X] bar\n- [ ] baz\n\n| First Header | Second Header |\n| ------------- | ------------- |\n| Content Cell | Content Cell |\n| Content Cell | Content Cell |\n\n\nHorizontal Rule\n\n---\n\n`Inline code` with backticks\n\n```javascript\n// code block\nfunction yup() {\n console.log('yup');\n}\n```\n"
},
"$:/plugins/anstosa/tw5-markdown/wrapper.js": {
"text": "/*\\\ntitle: $:/plugins/anstosa/tw5-markdown/wrapper.js\ntype: application/javascript\nmodule-type: parser\n\nWraps up the markdown-it parser for use in TiddlyWiki5\n\\*/\n(() => {\n 'use strict';\n\n const TYPE_WIKI = 'text/vnd.tiddlywiki';\n\n let dom;\n if (typeof(window) !== 'undefined') {\n dom = new DOMParser();\n }\n const highlight = require('$:/plugins/anstosa/tw5-markdown/highlight.js');\n const MarkdownIt = require('$:/plugins/anstosa/tw5-markdown/markdown.js');\n const markdown = new MarkdownIt({\n highlight: (source, syntax) => {\n if (syntax && highlight.getLanguage(syntax)) {\n try {\n return highlight.highlight(syntax, source).value;\n } catch (__) {}\n }\n return '';\n },\n html: true,\n linkify: true,\n typographer: true,\n });\n markdown.use(require('$:/plugins/anstosa/tw5-markdown/markdown-checkbox.js'), {\n disabled: true,\n idPrefix: 'c-task-list__item__checkbox__',\n ulClass: 'c-task-list',\n liClass: 'c-task-list__item'\n });\n\n const tiddlify = (node, forceText) => {\n if (node.nodeType === Node.TEXT_NODE) {\n let subtree;\n try {\n const children = new $tw.Wiki.parsers[TYPE_WIKI](TYPE_WIKI, node.textContent, {}).tree[0].children;\n if (children.length === 0) {\n subtree = null;\n }\n else if (children.length === 1) {\n subtree = children[0];\n }\n else {\n subtree = {\n type: 'element',\n tag: 'span',\n children: children,\n };\n }\n }\n catch(error) {\n subtree = null;\n }\n if (!forceText && subtree) {\n return subtree;\n }\n else {\n return {\n text: node.textContent,\n type: 'text'\n };\n }\n }\n if (node.tagName) {\n const widget = {\n attributes: {},\n tag: node.tagName.toLowerCase(),\n type: 'element'\n };\n $tw.utils.each(node.attributes, (attribute) => {\n widget.attributes[attribute.nodeName] = {\n type: 'string',\n value: attribute.nodeValue\n };\n });\n widget.children = [];\n node.childNodes.forEach((child) => {\n const isPlainText = (\n forceText ||\n widget.tag === 'code' ||\n widget.tag === 'a'\n );\n widget.children.push(tiddlify(child, isPlainText));\n });\n return widget;\n }\n };\n\n class MarkdownParser {\n constructor(type, text, options) {\n const source = markdown.render(text);\n const tree = dom.parseFromString(source, 'text/html');\n this.tree = tiddlify(tree.body).children;\n }\n }\n\n exports['text/x-markdown'] = MarkdownParser;\n})();\n",
"title": "$:/plugins/anstosa/tw5-markdown/wrapper.js",
"type": "application/javascript",
"module-type": "parser"
}
}
}
{
"tiddlers": {
"$:/plugins/bimlas/highlight-searched-text/README/CHANGELOG": {
"title": "$:/plugins/bimlas/highlight-searched-text/README/CHANGELOG",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "I'm trying to follow the rules of [[Semantic Versioning|https://semver.org/]].\n\n!! 0.5.0 - 2021-03-26\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.4.0...v0.5.0]]\n\n* Add option to disable automatic highlighting\n* Fixed a bug that could have caused RSOD in some cases\n* Hide toolbar on printing\n\n!! 0.4.0 - 2020-02-13\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.3.2...v0.4.0]]\n\n* Add option to change toolbar height and position\n\n!! 0.3.2 - 2020-02-13\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.3.1...0.3.2]]\n\n* Search was performed inside CodeMirror texteditor which caused RSOD\n\n!! 0.3.1 - 2019-11-19\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.3.0...v0.3.1]]\n\n* The counter showed n-1 matches\n\n!! 0.3.0 - 2019-11-19\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.2.0...v0.3.0]]\n\n* Add counter\n* Move templates to their own directory\n\n!! 0.2.0 - 2019-11-18\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.1.1...v0.2.0]]\n\n* Add buttons and a toolbar to navigate between matches on page (\"find in page\" feature of browsers)\n\n!! 0.1.1 - 2019-11-12\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.1.0...v0.1.1]]\n\n* Add option to change the title of the tiddler containing the search term\n\n!! 0.1.0 - 2019-11-11\n\n* First public release\n"
},
"$:/plugins/bimlas/highlight-searched-text/README/README": {
"title": "$:/plugins/bimlas/highlight-searched-text/README/README",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "! Highlight searched text\n\nFor example, type `search text` in the standard search and select one of the results, or just click outside of it (to hide the popup list): each of ''the words you search for will be highlighted separately in the text of the tiddlers''.\n\nIn the sidebar above the standard search, there are \"Scroll to next / previous matches\" buttons to navigate through the results on the page. In the case of a narrow screen (or according to your preferences), a toolbar will appear at the bottom of the window where you can access the same functions.\n\nSince this doesn't require a \"Find in page\" browser, ''it is convenient to use on [[TiddlyDesktop|https://tiddlywiki.com/#TiddlyDesktop]] and Android'' (via [[Tiddloid|https://tiddlywiki.com/#Saving%20on%20Android]], [[Quinoid|https://github.com/Marxsal/Quinoid01]], etc).\n\nThe plugin uses the [[Mark.js library|https://markjs.io/]].\n\n* https://bimlas.gitlab.io/tw5-highlight-searched-text (demo + install)\n* https://gitlab.com/bimlas/tw5-highlight-searched-text (main repository)\n* https://github.com/bimlas/tw5-highlight-searched-text (mirror, ''please star if you like the plugin'')\n\n!! Known issues\n\nThe \"find-in-page\" feature does not work properly with [[JD's Material theme|http://j.d.material.tiddlyspot.com/]] because when you jump to the next hit, it will be aligned with the top of the page instead of the middle of the page.\n\nIf the text of a tiddler is wider than the story river, it will not align the \"find-in-page\" toolbar at the bottom of the screen, but more lower, so it will not be visible. For example, search for \"script\" in the Shadows tab of [[$:/AdvancedSearch]] and make your browser as narrow as possible: if you scroll down and up, you will understand what I mean. This is not a bug in the plugin, but in the TiddlyWiki (or rather in the browsers).\n\n!! Tips\n\n!!! Colorized icons\n\nTo colorize the next / previous icons, create a tiddler (name can be anything), add the <<tag \"$:/tags/Stylesheet\">> tag and copy the following code into it.\n\n```css\n.bimlas-highlight-searched-text.bimlas-sidebar .bimlas-next-match svg, .bimlas-highlight-searched-text.bimlas-sticky-find-in-page .bimlas-next-match svg {\n fill: green;\n}\n.bimlas-highlight-searched-text.bimlas-sidebar .bimlas-previous-match svg, .bimlas-highlight-searched-text.bimlas-sticky-find-in-page .bimlas-previous-match svg {\n fill: red;\n}\n```\n\n!! Installation instructions\n\nTo add the plugin to your own ~TiddlyWiki5, just drag this link to the browser window:\n\n$:/plugins/bimlas/highlight-searched-text\n\nFor other installation options see the repositories above.\n"
},
"$:/plugins/bimlas/highlight-searched-text/action-scroll-to-match.js": {
"title": "$:/plugins/bimlas/highlight-searched-text/action-scroll-to-match.js",
"text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/action-scroll-to-match.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to scroll to the next match in story river.\n\n\\*/\n(function() {\n\n\t/*jslint node: false, browser: true */\n\t/*global $tw: true */\n\t\"use strict\";\n\n\tvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\tvar updateHighlighting = require('$:/plugins/bimlas/highlight-searched-text/update-highlighting.js');\n\n\tvar ScrollToMatch = function(parseTreeNode,options) {\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tScrollToMatch.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tScrollToMatch.prototype.render = function(parent,nextSibling) {\n\t\tthis.computeAttributes();\n\t\tthis.execute();\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tScrollToMatch.prototype.execute = function() {\n\t\tthis.actionDirection = this.getAttribute(\"$direction\");\n\t};\n\n\t/*\n\tRefresh the widget by ensuring our attributes are up to date\n\t*/\n\tScrollToMatch.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\tif(changedAttributes[\"$direction\"]) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers);\n\t};\n\n\t/*\n\tInvoke the action associated with this widget\n\t*/\n\tScrollToMatch.prototype.invokeAction = function(triggeringWidget,event) {\n\t\tvar self = this;\n\t\tvar isHighlightingUpdated = updateHighlighting();\n\t\tvar allMatches = $tw.pageContainer.querySelectorAll('mark');\n\t\tif(allMatches.length === 0) return true;\n\t\tif(isHighlightingUpdated && resultsAreFoundOnTheCurrentScreen()) return true;\n\n\t\tvar targetMatch = this.actionDirection === \"previous\"\n\t\t\t? findBackwardFromThePreviousHalfScreen()\n\t\t\t: findForwardFromTheNextHalfScreen();\n\n\t\t$tw.pageScroller.scrollIntoView(targetMatch, function() {\n\t\t\treturn alignBoundingBoxToMiddleOfTheScreen(targetMatch.getBoundingClientRect());\n\t\t});\n\t\tthis.previousMatch = targetMatch;\n\t\treturn true; // Action was invoked\n\n\t\tfunction resultsAreFoundOnTheCurrentScreen() {\n\t\t\treturn [].slice.call(allMatches).reduce(function(accumulator,match) {\n\t\t\t\treturn accumulator || (getPositionOfElementRelativeToScreen(match) === 0);\n\t\t\t}, false);\n\t\t}\n\n\t\tfunction findBackwardFromThePreviousHalfScreen() {\n\t\t\tvar foundMatch;\n\t\t\tfor(var index = allMatches.length-1; index >= 0; index--) {\n\t\t\t\tif(getPositionOfElementRelativeToScreen(allMatches[index]) < 0) {\n\t\t\t\t\tfoundMatch = allMatches[index];\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn !foundMatch || (foundMatch === self.previousMatch) ? allMatches[allMatches.length-1] : foundMatch;\n\t\t}\n\n\t\tfunction findForwardFromTheNextHalfScreen() {\n\t\t\tvar foundMatch;\n\t\t\tfor(var index = 0; index < allMatches.length; index++) {\n\t\t\t\tif(getPositionOfElementRelativeToScreen(allMatches[index]) > 0) {\n\t\t\t\t\tfoundMatch = allMatches[index];\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn !foundMatch || (foundMatch === self.previousMatch) ? allMatches[0] : foundMatch;\n\t\t}\n\n\t\tfunction alignBoundingBoxToMiddleOfTheScreen(boundingBox) {\n\t\t\treturn {\n\t\t\t\tleft: boundingBox.left,\n\t\t\t\ttop: boundingBox.top - window.innerHeight/2,\n\t\t\t\twidth: boundingBox.width,\n\t\t\t\theight: boundingBox.height\n\t\t\t};\n\t\t}\n\n\t\tfunction getPositionOfElementRelativeToScreen(elem) {\n\t\t\tvar elementYOffset = elem.getBoundingClientRect().top;\n\t\t\tif (elementYOffset < window.innerHeight*0.25) return -1;\n\t\t\tif (elementYOffset > (window.innerHeight-30*window.devicePixelRatio/* height of the toolbar */)*0.75 ) return 1;\n\t\t\treturn 0;\n\t\t}\n\t};\n\n\texports[\"action-scroll-to-match\"] = ScrollToMatch;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/bimlas/highlight-searched-text/buttons/clear-input": {
"title": "$:/plugins/bimlas/highlight-searched-text/buttons/clear-input",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "<$button class=\"tc-btn-invisible bimlas-clear-input\" tooltip=\"Clear text input\" set={{$:/config/bimlas/highlight-searched-text/search-tiddler}} setTo=\"\">\n {{$:/core/images/close-button}}\n</$button>\n"
},
"$:/plugins/bimlas/highlight-searched-text/buttons/hide-toolbar": {
"title": "$:/plugins/bimlas/highlight-searched-text/buttons/hide-toolbar",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "<$button class=\"tc-btn-invisible bimlas-hide-toolbar\" tooltip=\"Hide this toolbar\" set=\"$:/state/bimlas/highlight-searched-text/toolbar\" setTo=\"hide\">\n {{$:/core/images/advanced-search-button}}\n</$button>\n"
},
"$:/plugins/bimlas/highlight-searched-text/buttons/next-match": {
"title": "$:/plugins/bimlas/highlight-searched-text/buttons/next-match",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "<$button class=\"tc-btn-invisible bimlas-next-match\" tooltip=\"Scroll to next matches\">\n <$action-scroll-to-match $direction=\"next\"/>\n {{$:/core/images/down-arrow}}\n</$button>\n"
},
"$:/plugins/bimlas/highlight-searched-text/buttons/previous-match": {
"title": "$:/plugins/bimlas/highlight-searched-text/buttons/previous-match",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "<$button class=\"tc-btn-invisible bimlas-previous-match\" tooltip=\"Scroll to previous matches\">\n <$action-scroll-to-match $direction=\"previous\"/>\n {{$:/core/images/up-arrow}}\n</$button>\n"
},
"$:/plugins/bimlas/highlight-searched-text/buttons/show-toolbar": {
"title": "$:/plugins/bimlas/highlight-searched-text/buttons/show-toolbar",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "<$button class=\"tc-btn-invisible bimlas-show-toolbar\" tooltip=\"Find in page\" set=\"$:/state/bimlas/highlight-searched-text/toolbar\" setTo=\"show\">\n {{$:/core/images/advanced-search-button}}\n</$button>\n"
},
"$:/plugins/bimlas/highlight-searched-text/mark.js": {
"title": "$:/plugins/bimlas/highlight-searched-text/mark.js",
"text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/mark.js\ntype: application/javascript\nmodule-type: library\n\n* mark.js v8.11.1\n* https://markjs.io/\n* Copyright (c) 2014–2018, Julian Kühnel\n* Released under the MIT license https://git.io/vwTVl\n\n\\*/\n\n!function(e,t){\"object\"==typeof exports&&\"undefined\"!=typeof module?module.exports=t():\"function\"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){\"use strict\";var e=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError(\"Cannot call a class as a function\")},n=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return 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t(n,e,o.value.substring(c,u),r)},function(t){n(t,e)})}),r()})}},{key:\"unwrapMatches\",value:function(e){for(var t=e.parentNode,n=document.createDocumentFragment();e.firstChild;)n.appendChild(e.removeChild(e.firstChild));t.replaceChild(n,e),this.ie?this.normalizeTextNode(t):t.normalize()}},{key:\"normalizeTextNode\",value:function(e){if(e){if(3===e.nodeType)for(;e.nextSibling&&3===e.nextSibling.nodeType;)e.nodeValue+=e.nextSibling.nodeValue,e.parentNode.removeChild(e.nextSibling);else this.normalizeTextNode(e.firstChild);this.normalizeTextNode(e.nextSibling)}}},{key:\"markRegExp\",value:function(e,t){var n=this;this.opt=t,this.log('Searching with expression \"'+e+'\"');var r=0,i=\"wrapMatches\";this.opt.acrossElements&&(i=\"wrapMatchesAcrossElements\"),this[i](e,this.opt.ignoreGroups,function(e,t){return n.opt.filter(t,e,r)},function(e){r++,n.opt.each(e)},function(){0===r&&n.opt.noMatch(e),n.opt.done(r)})}},{key:\"mark\",value:function(e,t){var n=this;this.opt=t;var r=0,i=\"wrapMatches\",o=this.getSeparatedKeywords(\"string\"==typeof e?[e]:e),a=o.keywords,s=o.length,c=this.opt.caseSensitive?\"\":\"i\";this.opt.acrossElements&&(i=\"wrapMatchesAcrossElements\"),0===s?this.opt.done(r):function e(t){var o=new RegExp(n.createRegExp(t),\"gm\"+c),u=0;n.log('Searching with expression \"'+o+'\"'),n[i](o,1,function(e,i){return n.opt.filter(i,t,r,u)},function(e){u++,r++,n.opt.each(e)},function(){0===u&&n.opt.noMatch(t),a[s-1]===t?n.opt.done(r):e(a[a.indexOf(t)+1])})}(a[0])}},{key:\"markRanges\",value:function(e,t){var n=this;this.opt=t;var r=0,i=this.checkRanges(e);i&&i.length?(this.log(\"Starting to mark with the following ranges: \"+JSON.stringify(i)),this.wrapRangeFromIndex(i,function(e,t,r,i){return n.opt.filter(e,t,r,i)},function(e,t){r++,n.opt.each(e,t)},function(){n.opt.done(r)})):this.opt.done(r)}},{key:\"unmark\",value:function(e){var t=this;this.opt=e;var n=this.opt.element?this.opt.element:\"*\";n+=\"[data-markjs]\",this.opt.className&&(n+=\".\"+this.opt.className),this.log('Removal selector \"'+n+'\"'),this.iterator.forEachNode(NodeFilter.SHOW_ELEMENT,function(e){t.unwrapMatches(e)},function(e){var r=i.matches(e,n),o=t.matchesExclude(e);return!r||o?NodeFilter.FILTER_REJECT:NodeFilter.FILTER_ACCEPT},this.opt.done)}},{key:\"opt\",set:function(e){this._opt=r({},{element:\"\",className:\"\",exclude:[],iframes:!1,iframesTimeout:5e3,separateWordSearch:!0,diacritics:!0,synonyms:{},accuracy:\"partially\",acrossElements:!1,caseSensitive:!1,ignoreJoiners:!1,ignoreGroups:0,ignorePunctuation:[],wildcards:\"disabled\",each:function(){},noMatch:function(){},filter:function(){return!0},done:function(){},debug:!1,log:window.console},e)},get:function(){return this._opt}},{key:\"iterator\",get:function(){return new i(this.ctx,this.opt.iframes,this.opt.exclude,this.opt.iframesTimeout)}}]),o}();return function(e){var t=this,n=new o(e);return this.mark=function(e,r){return n.mark(e,r),t},this.markRegExp=function(e,r){return n.markRegExp(e,r),t},this.markRanges=function(e,r){return n.markRanges(e,r),t},this.unmark=function(e){return n.unmark(e),t},this}});\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/plugins/bimlas/highlight-searched-text/settings/SETTINGS": {
"title": "$:/plugins/bimlas/highlight-searched-text/settings/SETTINGS",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "! Settings\n\n!! The system tiddler used for searching\n\nThe plugin works basically with standard search, but if you use a theme or a plugin that stores the term you are looking for elsewhere, you can specify the appropriate tiddler here.\n\n<$edit-text tiddler=\"$:/config/bimlas/highlight-searched-text/search-tiddler\" tag=\"input\"/>\n\nTo find the tiddler that stores the search string, make a search for `find-my-search-tiddler` in your standard search field (e.g. in the sidebar). The tiddler will be shown bellow.\n\n<<list-links filter:\"[all[tiddlers]search[find-my-search-tiddler]] -[all[current]]\">>\n\n!! Toolbar visibility\n\nIn a narrow browser or smartphone, the sidebar appears at the top of the page, so we can't conveniently use the search box there to search within the page. To fix this, we have a toolbar (magnifying glass icon in the corner of the window). If you wish, you can turn this off or make it visible in wider browsers (it can also be useful if, for example, your theme hides the sidebar).\n\n<$radio tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-visibility\" value=\"never\"> Never </$radio>\n\n<$radio tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-visibility\" value=\"smallscreen\"> Only on small screens </$radio>\n\n<$radio tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-visibility\" value=\"allways\"> Allways </$radio>\n\nHeight: <$edit-text tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-height\" tag=\"input\"/>\n\nOffset from bottom: <$edit-text tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-offset\" tag=\"input\"/>\n\n//To display it at the top of the page, use the following formula://\n\n```\ncalc(100% - {{$:/config/bimlas/highlight-searched-text/toolbar-height}})\n```\n\n!! Auto highlight\n\nIf you want the highlight to be performed only when you click the \"Go to next / previous matches\" buttons, turn off this option.\n\n<$checkbox tiddler=\"$:/config/bimlas/highlight-searched-text/auto-highlight\" field=\"text\" checked=\"yes\" unchecked=\"no\"> Automatically highlight matches </$checkbox>\n"
},
"$:/config/bimlas/highlight-searched-text/auto-highlight": {
"title": "$:/config/bimlas/highlight-searched-text/auto-highlight",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "yes"
},
"$:/config/bimlas/highlight-searched-text/search-tiddler": {
"title": "$:/config/bimlas/highlight-searched-text/search-tiddler",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "$:/temp/search"
},
"$:/config/bimlas/highlight-searched-text/toolbar-height": {
"title": "$:/config/bimlas/highlight-searched-text/toolbar-height",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "30px"
},
"$:/config/bimlas/highlight-searched-text/toolbar-offset": {
"title": "$:/config/bimlas/highlight-searched-text/toolbar-offset",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "0px"
},
"$:/config/bimlas/highlight-searched-text/toolbar-visibility": {
"title": "$:/config/bimlas/highlight-searched-text/toolbar-visibility",
"tags": "",
"type": "text/vnd.tiddlywiki",
"text": "smallscreen"
},
"$:/plugins/bimlas/highlight-searched-text/startup-action.js": {
"title": "$:/plugins/bimlas/highlight-searched-text/startup-action.js",
"text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/startup-action.js\ntype: application/javascript\nmodule-type: startup\n\nAdd event listeners to highlight searched text\n\n\\*/\n\n(function() {\n\n\t/*jslint node: false, browser: true */\n\t/*global $tw: true */\n\t\"use strict\";\n\n\tvar updateHighlighting = require('$:/plugins/bimlas/highlight-searched-text/update-highlighting.js');\n\n\t// Export name and synchronous status\n\texports.name = \"highlightsearch\";\n\texports.platforms = [\"browser\"];\n\texports.after = [\"story\"];\n\texports.synchronous = true;\n\n\texports.startup = function() {\n\t\t$tw.wiki.addEventListener(\"change\",function(changedTiddlers) {\n\t\t\tif(Object.keys(changedTiddlers).reduce(function(accumulator,current) {\n\t\t\t\treturn accumulator || searchTextBecameEmpty(current) || (autoHighlightEnabled() && searchPopupBecameHidden(current,changedTiddlers[current]))\n\t\t\t},false)) {\n\t\t\t\tupdateHighlighting();\n\t\t\t}\n\t\t});\n\t\t$tw.hooks.addHook(\"th-navigating\",function(event) {\n\t\t\tif(autoHighlightEnabled()) {\n\t\t\t // TODO: It should update highlight only if navigated from search results - how to check this?\n\t\t\t setTimeout(function() {\n\t\t\t updateHighlighting(true);\n\t\t\t }, $tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\"));\n\t\t }\n\t\t\treturn (event);\n\t\t});\n\t\t$tw.hooks.addHook(\"th-editing-tiddler\",function(event) {\n\t\t\tclearHighlighting();\n\t\t\treturn (event);\n\t\t});\n\t\t$tw.hooks.addHook(\"th-new-tiddler\",function(event) {\n\t\t\tclearHighlighting();\n\t\t\treturn (event);\n\t\t});\n\t};\n\n\tfunction autoHighlightEnabled() {\n\t\treturn $tw.wiki.getTiddlerText(\"$:/config/bimlas/highlight-searched-text/auto-highlight\") === \"yes\";\n\t}\n\n\tfunction searchPopupBecameHidden(title,value) {\n\t\treturn (title.indexOf(\"$:/state/popup/search-dropdown\") === 0) && value.deleted\n\t}\n\n\tfunction searchTextBecameEmpty(title) {\n\t\tvar searchTiddler = $tw.wiki.getTiddlerText(\"$:/config/bimlas/highlight-searched-text/search-tiddler\");\n\t\treturn title === searchTiddler && $tw.wiki.getTiddlerText(searchTiddler) === \"\"\n\t}\n\n\tfunction clearHighlighting() {\n\t\tsetTimeout(function() {\n\t\t\tupdateHighlighting(true, \"\");\n\t\t}, $tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\"));\n\t}\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/plugins/bimlas/highlight-searched-text/stylesheet": {
"title": "$:/plugins/bimlas/highlight-searched-text/stylesheet",
"tags": "$:/tags/Stylesheet",
"type": "",
"text": ".bimlas-highlight-searched-text.bimlas-sticky-find-in-page {\n display: -webkit-flex;\n display: flex;\n align-items: center;\n position: fixed;\n bottom: {{$:/config/bimlas/highlight-searched-text/toolbar-offset}};\n /*\n Aligned to the right it disappears when eg. the search results in\n $:/AdvancedSearch have such a long filename that the page becomes wider\n than the screen.\n */\n left: 0;\n z-index: 500;\n height: {{$:/config/bimlas/highlight-searched-text/toolbar-height}};\n font-size: calc({{$:/config/bimlas/highlight-searched-text/toolbar-height}} * 18 / 30);\n padding: 0;\n background-color: <<colour tiddler-background>>;\n border: 1px solid <<colour tiddler-border>>;\n border-radius: 1em;\n <<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n}\n\n.bimlas-highlight-searched-text .bimlas-counter {\n white-space: nowrap;\n}\n\n.bimlas-highlight-searched-text.bimlas-sticky-find-in-page > * {\n padding: 0 0.25em;\n}\n\n.bimlas-highlight-searched-text.bimlas-sticky-find-in-page input {\n width: 100%;\n}\n\n.bimlas-highlight-searched-text.bimlas-sticky-find-in-page button {\n flex: 0 0 {{$:/config/bimlas/highlight-searched-text/toolbar-height}};\n}\n\n<$list filter=\"[[$:/state/bimlas/highlight-searched-text/toolbar]contains:text[show]]\">\n .bimlas-highlight-searched-text.bimlas-sticky-find-in-page {\n width: 100vw;\n /* Without this, the scrollbar would overlap the last button */\n padding-right: 15px;\n border-radius: 0;\n }\n</$list>\n\n<$list filter=\"[[$:/config/bimlas/highlight-searched-text/toolbar-visibility]contains:text[smallscreen]]\">\n @media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n .bimlas-highlight-searched-text.bimlas-sticky-find-in-page {\n display: none;\n }\n }\n</$list>\n\n@media print {\n .bimlas-highlight-searched-text {\n display: none !important;\n }\n}"
},
"$:/plugins/bimlas/highlight-searched-text/templates/counter": {
"title": "$:/plugins/bimlas/highlight-searched-text/templates/counter",
"tags": "",
"type": "",
"text": "<span class=\"bimlas-counter\"> {{$:/temp/bimlas/highlight-searched-text/counter}} </span>"
},
"$:/plugins/bimlas/highlight-searched-text/templates/sidebar": {
"title": "$:/plugins/bimlas/highlight-searched-text/templates/sidebar",
"list-before": "$:/core/ui/SideBarSegments/search",
"tags": "$:/tags/SideBarSegment",
"type": "text/vnd.tiddlywiki",
"text": "<div class=\"bimlas-highlight-searched-text bimlas-sidebar\">\n\t<!--\n\t\tIf emptyMessage were not specified, the height of the sibebar would be\n\t\tvariable (because find-in-page is either visible or not), so I will\n\t\tdisplay a placeholder if there is no search term.\n\t-->\n\t<$list filter=\"[{$:/config/bimlas/highlight-searched-text/search-tiddler}get[text]]\" emptyMessage=\" \">\n\t\tFind in page: {{$:/plugins/bimlas/highlight-searched-text/buttons/next-match}} {{$:/plugins/bimlas/highlight-searched-text/buttons/previous-match}} {{$:/plugins/bimlas/highlight-searched-text/templates/counter}}\n\t</$list>\n</div>\n"
},
"$:/plugins/bimlas/highlight-searched-text/templates/toolbar": {
"title": "$:/plugins/bimlas/highlight-searched-text/templates/toolbar",
"tags": "$:/tags/PageTemplate",
"type": "text/vnd.tiddlywiki",
"text": "\\define collapsed()\n {{$:/plugins/bimlas/highlight-searched-text/buttons/show-toolbar}}\n\\end\n\n\\define expanded()\n {{$:/plugins/bimlas/highlight-searched-text/buttons/hide-toolbar}}\n <$keyboard key=\"enter\">\n <$action-scroll-to-match $direction=\"next\"/>\n <$edit-text tiddler={{$:/config/bimlas/highlight-searched-text/search-tiddler}} placeholder=\"Find in page...\" tag=\"input\" type=\"search\"/>\n </$keyboard>\n {{$:/plugins/bimlas/highlight-searched-text/templates/counter}}\n {{$:/plugins/bimlas/highlight-searched-text/buttons/next-match}}\n {{$:/plugins/bimlas/highlight-searched-text/buttons/previous-match}}\n {{$:/plugins/bimlas/highlight-searched-text/buttons/clear-input}}\n\\end\n\n<$list filter=\"[[$:/config/bimlas/highlight-searched-text/toolbar-visibility]!contains:text[never]]\">\n <div class=\"bimlas-highlight-searched-text bimlas-sticky-find-in-page\">\n <$list filter=\"[[$:/state/bimlas/highlight-searched-text/toolbar]contains:text[show]]\" emptyMessage=<<collapsed>>>\n <<expanded>>\n </$list>\n </div>\n</$list>\n"
},
"$:/plugins/bimlas/highlight-searched-text/update-highlighting.js": {
"title": "$:/plugins/bimlas/highlight-searched-text/update-highlighting.js",
"text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/update-highlighting.js\ntype: application/javascript\nmodule-type: library\n\nUpdate highlight of searched text (find in page)\n\n\\*/\n\nvar\n\tMark = require(\"$:/plugins/bimlas/highlight-searched-text/mark.js\"),\n\tmarkInstance;\n\tpreviousSearchedText = '';\n\nmodule.exports = function(force = false, customSearchedText = null) {\n\tvar searchTiddler = $tw.wiki.getTiddlerText(\"$:/config/bimlas/highlight-searched-text/search-tiddler\");\n\tvar searchedText = customSearchedText !== null ? customSearchedText : $tw.wiki.getTiddlerText(searchTiddler);\n\tvar totalCounter = 0;\n\n\tif((searchedText === previousSearchedText) && !force) return false;\n\n\tif(!markInstance) markInstance = new Mark(document.getElementsByClassName(\"tc-story-river\")[0]);\n\tmarkInstance.unmark();\n\tif(searchedText !== \"\") markInstance.mark(searchedText, {\n\t\texclude: [\n\t\t\t\".tc-tiddler-edit-frame *\"\n\t\t],\n\t\tfilter: function(node, term, count) {\n\t\t\ttotalCounter = count + 1;\n\t\t\treturn true;\n\t\t}\n\t});\n\tsetCounterTiddler(totalCounter);\n\tpreviousSearchedText = searchedText;\n\treturn true;\n};\n\nfunction setCounterTiddler(totalCounter) {\n\tvar defaultFields = $tw.wiki.getCreationFields();\n\tvar tiddlerFields = {\n\t\ttitle: \"$:/temp/bimlas/highlight-searched-text/counter\",\n\t\ttext: \"(\" + totalCounter + \")\"\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddlerFields, defaultFields));\n}\n",
"type": "application/javascript",
"module-type": "library"
}
}
}
{
"tiddlers": {
"$:/plugins/flibbles/relink/js/bulkops.js": {
"text": "/*\\\nmodule-type: startup\n\nReplaces the relinkTiddler defined in $:/core/modules/wiki-bulkops.js\n\nThis is a startup instead of a wikimethods module-type because it's the only\nway to ensure this runs after the old relinkTiddler method is applied.\n\n\\*/\n(function(){\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\n\nexports.name = \"redefine-relinkTiddler\";\nexports.synchronous = true;\n// load-modules is when wikimethods are applied in\n// ``$:/core/modules/startup/load-modules.js``\nexports.after = ['load-modules'];\n\nexports.startup = function() {\n\t$tw.Wiki.prototype.relinkTiddler = relinkTiddler;\n};\n\n/** Walks through all relinkable tiddlers and relinks them.\n * This replaces the existing function in core Tiddlywiki.\n */\nfunction relinkTiddler(fromTitle, toTitle, options) {\n\toptions = options || {};\n\tvar failures = [];\n\tvar indexer = utils.getIndexer(this);\n\tvar records = indexer.relinkLookup(fromTitle, toTitle, options);\n\tfor (var title in records) {\n\t\tvar entries = records[title],\n\t\t\tchanges = Object.create(null),\n\t\t\tupdate = false,\n\t\t\tfails = false;\n\t\tfor (var field in entries) {\n\t\t\tvar entry = entries[field];\n\t\t\tfails = fails || entry.impossible;\n\t\t\tif (entry.output) {\n\t\t\t\tchanges[field] = entry.output;\n\t\t\t\tupdate = true;\n\t\t\t}\n\t\t}\n\t\tif (fails) {\n\t\t\tfailures.push(title);\n\t\t}\n\t\t// If any fields changed, update tiddler\n\t\tif (update) {\n\t\t\tconsole.log(\"Renaming '\"+fromTitle+\"' to '\"+toTitle+\"' in '\" + title + \"'\");\n\n\t\t\tvar tiddler = this.getTiddler(title);\n\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,changes,this.getModificationFields())\n\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\tthis.addTiddler(newTiddler);\n\t\t\t// If the title changed, we need to perform a nested rename\n\t\t\tif (newTiddler.fields.title !== title) {\n\t\t\t\tthis.deleteTiddler(title);\n\t\t\t\tthis.relinkTiddler(title, newTiddler.fields.title,options);\n\t\t\t}\n\t\t}\n\t};\n\tif (failures.length > 0) {\n\t\tvar options = $tw.utils.extend(\n\t\t\t{ variables: {to: toTitle, from: fromTitle},\n\t\t\t wiki: this},\n\t\t\toptions );\n\t\tlanguage.reportFailures(failures, options);\n\t}\n};\n\n})();\n",
"module-type": "startup",
"title": "$:/plugins/flibbles/relink/js/bulkops.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/indexer.js": {
"text": "/*\\\nmodule-type: indexer\n\nIndexes results from tiddler reference reports so we don't have to call them\nso much.\n\n\\*/\n\n\"use strict\";\n\nvar utils = require(\"./utils.js\");\nvar TiddlerContext = utils.getContext('tiddler');\n\nfunction Indexer(wiki) {\n\tthis.wiki = wiki;\n};\n\nIndexer.prototype.init = function() {\n\tthis.rebuild();\n};\n\nIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n\tthis.backIndex = null;\n\tthis.contexts = Object.create(null);\n\tthis.changedTiddlers = undefined;\n\tthis.lastRelinkFrom = undefined;\n};\n\nIndexer.prototype.update = function(updateDescriptor) {\n\tif (!this.index) {\n\t\treturn;\n\t}\n\tvar title;\n\tif (!this.changedTiddlers) {\n\t\tthis.changedTiddlers = Object.create(null);\n\t}\n\tif (updateDescriptor.old.exists) {\n\t\ttitle = updateDescriptor.old.tiddler.fields.title;\n\t\tthis.changedTiddlers[title] = {deleted: true};\n\t\tthis._purge(title);\n\t}\n\tif (updateDescriptor['new'].exists) {\n\t\t// If its the same tiddler as old, this overrides the 'deleted' entry\n\t\ttitle = updateDescriptor['new'].tiddler.fields.title;\n\t\tthis.changedTiddlers[title] = {modified: true};\n\t}\n};\n\nIndexer.prototype.lookup = function(title) {\n\tthis._upkeep();\n\treturn this.index[title];\n};\n\nIndexer.prototype.reverseLookup = function(title) {\n\tthis._upkeep();\n\treturn this.backIndex[title] || Object.create(null);\n};\n\nIndexer.prototype.relinkLookup = function(fromTitle, toTitle, options) {\n\tthis._upkeep();\n\tvar shortlist = undefined;\n\tif (this.lastRelinkFrom === fromTitle) {\n\t\tif (this.lastRelinkTo === toTitle) {\n\t\t\t// We need to reintroduce the relink cache, where temporary info\n\t\t\t// was stored.\n\t\t\toptions.cache = this.lastRelinkCache;\n\t\t\treturn this.lastRelinkResult;\n\t\t}\n\t\tshortlist = Object.keys(this.lastRelinkResult);\n\t}\n\tthis.lastRelinkResult = utils.getRelinkResults(this.wiki, fromTitle, toTitle, this.context, shortlist, options);\n\tthis.lastRelinkTo = toTitle;\n\tthis.lastRelinkFrom = fromTitle;\n\tthis.lastRelinkCache = options.cache;\n\treturn this.lastRelinkResult;\n};\n\nIndexer.prototype._upkeep = function() {\n\tvar title;\n\tif (this.changedTiddlers && (this.context.changed(this.changedTiddlers) || this.context.parent.changed(this.changedTiddlers))) {\n\t\t// If global macro context or whitelist context changed, wipe all\n\t\tthis.rebuild();\n\t}\n\tif (!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tthis.backIndex = Object.create(null);\n\t\tthis.context = utils.getWikiContext(this.wiki);\n\t\tvar titles = this.wiki.getRelinkableTitles();\n\t\tfor (var i = 0; i < titles.length; i++) {\n\t\t\tthis._populate(titles[i]);\n\t\t};\n\t} else if (this.changedTiddlers) {\n\t\t// If there are cached changes, we apply them now.\n\t\tfor (title in this.contexts) {\n\t\t\tvar tiddlerContext = this.contexts[title];\n\t\t\tif (tiddlerContext.changed(this.changedTiddlers)) {\n\t\t\t\tthis._purge(title);\n\t\t\t\tthis._populate(title);\n\t\t\t\tthis._dropResults(title);\n\t\t\t\t// Wipe this change, so we don't risk updating it twice.\n\t\t\t\tthis.changedTiddlers[title] = undefined;\n\t\t\t}\n\t\t}\n\t\tfor (title in this.changedTiddlers) {\n\t\t\tvar change = this.changedTiddlers[title];\n\t\t\tif (change && change.modified) {\n\t\t\t\tthis._purge(title);\n\t\t\t\tthis._populate(title);\n\t\t\t\tthis._dropResults(title);\n\t\t\t}\n\t\t}\n\t\tthis.changedTiddlers = undefined;\n\t}\n};\n\nIndexer.prototype._purge = function(title) {\n\tfor (var entry in this.index[title]) {\n\t\tdelete this.backIndex[entry][title];\n\t}\n\tdelete this.contexts[title];\n\tdelete this.index[title];\n};\n\n// This drops the cached relink results if unsanctioned tiddlers were changed\nIndexer.prototype._dropResults = function(title) {\n\tvar tiddler = this.wiki.getTiddler(title);\n\tif (title !== this.lastRelinkFrom\n\t&& title !== this.lastRelinkTo\n\t&& (!tiddler\n\t\t|| !$tw.utils.hop(tiddler.fields, 'draft.of') // is a draft\n\t\t|| tiddler.fields['draft.of'] !== this.lastRelinkFrom // draft of target\n\t\t|| references(this.index[title], this.lastRelinkFrom))) { // draft references target\n\t\t// This is not the draft of the last relinked title,\n\t\t// so our cached results should be wiped.\n\t\tthis.lastRelinkFrom = undefined;\n\t}\n};\n\nfunction references(list, item) {\n\treturn list !== undefined && list[item];\n};\n\nIndexer.prototype._populate = function(title) {\n\t// Fetch the report for a title, and populate the indexes with result\n\tvar tiddlerContext = new TiddlerContext(this.wiki, this.context, title);\n\tvar references = utils.getTiddlerRelinkReferences(this.wiki, title, tiddlerContext);\n\tthis.index[title] = references;\n\tif (tiddlerContext.hasImports()) {\n\t\tthis.contexts[title] = tiddlerContext;\n\t}\n\tfor (var ref in references) {\n\t\tthis.backIndex[ref] = this.backIndex[ref] || Object.create(null);\n\t\tthis.backIndex[ref][title] = references[ref];\n\t}\n};\n\nexports.RelinkIndexer = Indexer;\n",
"module-type": "indexer",
"title": "$:/plugins/flibbles/relink/js/indexer.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/language.js": {
"text": "/*\\\nmodule-type: library\n\nThis handles all logging and alerts Relink emits.\n\n\\*/\n\nexports.getString = function(title, options) {\n\ttitle = \"$:/plugins/flibbles/relink/language/\" + title;\n\treturn options.wiki.renderTiddler(\"text/plain\", title, options);\n};\n\nvar logger;\n\nexports.reportFailures = function(failureList, options) {\n\tif (!logger) {\n\t\tlogger = new $tw.utils.Logger(\"Relinker\");\n\t}\n\tvar alertString = this.getString(\"Error/ReportFailedRelinks\", options)\n\tvar alreadyReported = Object.create(null);\n\tvar reportList = [];\n\t$tw.utils.each(failureList, function(f) {\n\t\tif (!alreadyReported[f]) {\n\t\t\tif ($tw.browser) {\n\t\t\t\t// This might not make the link if the title is complicated.\n\t\t\t\t// Whatever.\n\t\t\t\treportList.push(\"\\n* [[\" + f + \"]]\");\n\t\t\t} else {\n\t\t\t\treportList.push(\"\\n* \" + f);\n\t\t\t}\n\t\t\talreadyReported[f] = true;\n\t\t}\n\t});\n\tlogger.alert(alertString + \"\\n\" + reportList.join(\"\"));\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/language.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/mangler.js": {
"text": "/*\\\nmodule-type: widget\n\nCreates a mangler widget for field validation. This isn't meant to be used\nby the user. It's only used in Relink configuration.\n\n\\*/\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nvar RelinkManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"relink-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"relink-add-operator\", handler: \"handleAddOperatorEvent\"},\n\t\t{type: \"relink-add-parameter\", handler: \"handleAddParameterEvent\"},\n\t\t{type: \"relink-add-attribute\", handler: \"handleAddAttributeEvent\"}\n\t]);\n};\n\nexports.relinkmangler = RelinkManglerWidget;\n\nRelinkManglerWidget.prototype = new Widget();\n\n// This wraps alert so it can be monkeypatched during testing.\nRelinkManglerWidget.prototype.alert = function(message) {\n\talert(message);\n};\n\nRelinkManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (typeof param !== \"object\" || !param.field) {\n\t\t// Can't handle it.\n\t\treturn true;\n\t}\n\tvar trimmedName = param.field.toLowerCase().trim();\n\tif (!trimmedName) {\n\t\t// Still can't handle it, but don't warn.\n\t\treturn true;\n\t}\n\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\tthis.alert($tw.language.getString(\n\t\t\t\"InvalidFieldName\",\n\t\t\t{variables:\n\t\t\t\t{fieldName: trimmedName}\n\t\t\t}\n\t\t));\n\t} else {\n\t\tadd(this.wiki, \"fields\", trimmedName);\n\t}\n\treturn true;\n};\n\n/**Not much validation, even though there are definitely illegal\n * operator names. If you input on, Relink won't relink it, but it\n * won't choke on it either. Tiddlywiki will...\n */\nRelinkManglerWidget.prototype.handleAddOperatorEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (param) {\n\t\tadd(this.wiki, \"operators\", param.operator);\n\t}\n\treturn true;\n};\n\nRelinkManglerWidget.prototype.handleAddParameterEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (param && param.macro && param.parameter) {\n\t\tif (/\\s/.test(param.macro.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidMacroName\",\n\t\t\t\t{ variables: {macroName: param.macro},\n\t\t\t\t wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else if (/[ \\/]/.test(param.parameter.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidParameterName\",\n\t\t\t\t{ variables: {parameterName: param.parameter},\n\t\t\t\t wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else {\n\t\t\tadd(this.wiki, \"macros\", param.macro, param.parameter);\n\t\t}\n\t}\n\treturn true;\n};\n\nRelinkManglerWidget.prototype.handleAddAttributeEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (param && param.element && param.attribute) {\n\t\tif (/[ \\/]/.test(param.element.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidElementName\",\n\t\t\t\t{ variables: {elementName: param.element},\n\t\t\t\t wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else if (/[ \\/]/.test(param.attribute.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidAttributeName\",\n\t\t\t\t{ variables: {attributeName: param.attribute},\n\t\t\t\t wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else {\n\t\t\tadd(this.wiki, \"attributes\", param.element, param.attribute);\n\t\t}\n\t}\n\treturn true;\n};\n\nfunction add(wiki, category/*, path parts*/) {\n\tvar path = \"$:/config/flibbles/relink/\" + category;\n\tfor (var x = 2; x < arguments.length; x++) {\n\t\tvar part = arguments[x];\n\t\t// Abort if it's falsy, or only whitespace. Also, trim spaces\n\t\tif (!part || !(part = part.trim())) {\n\t\t\treturn;\n\t\t}\n\t\tpath = path + \"/\" + part;\n\t}\n\tvar def = utils.getDefaultType(wiki);\n\twiki.addTiddler({title: path, text: def});\n};\n",
"module-type": "widget",
"title": "$:/plugins/flibbles/relink/js/mangler.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/settings.js": {
"text": "/*\\\nmodule-type: library\n\nThis handles the fetching and distribution of relink settings.\n\n\\*/\n\nvar utils = require('./utils');\n\n///// Legacy. You used to be able to access the type from utils.\nexports.getType = utils.getType;\n/////\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/settings.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/utils.js": {
"text": "/*\\\nmodule-type: library\n\nUtility methods for relink.\n\n// TODO: The lists of plugins should neither be relinked nor reported.\n\\*/\n\nvar macroFilter = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\n/**This works nearly identically to $tw.modules.getModulesByTypeAsHashmap\n * except that this also takes care of migrating V1 relink modules.\n */\nexports.getModulesByTypeAsHashmap = function(moduleType, nameField) {\n\tvar results = Object.create(null);\n\t$tw.modules.forEachModuleOfType(moduleType, function(title, module) {\n\t\tvar key = module[nameField];\n\t\tif (key !== undefined) {\n\t\t\tresults[key] = module;\n\t\t} else {\n\t\t\tfor (var entry in module) {\n\t\t\t\tresults[entry] = {\n\t\t\t\t\trelink: module[entry],\n\t\t\t\t\treport: function() {}};\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\nexports.getTiddlerRelinkReferences = function(wiki, title, context) {\n\tvar tiddler = wiki.getTiddler(title),\n\t\treferences = Object.create(null),\n\t\toptions = {settings: context, wiki: wiki};\n\tif (tiddler) {\n\t\ttry {\n\t\t\tfor (var relinker in getRelinkOperators()) {\n\t\t\t\tgetRelinkOperators()[relinker].report(tiddler, function(title, blurb) {\n\t\t\t\t\treferences[title] = references[title] || [];\n\t\t\t\t\treferences[title].push(blurb);\n\t\t\t\t}, options);\n\t\t\t}\n\t\t} catch (e) {\n\t\t\tif (e.message) {\n\t\t\t\te.message = e.message + \"\\nWhen reporting '\" + title + \"' Relink references\";\n\t\t\t}\n\t\t\tthrow e;\n\t\t}\n\t}\n\treturn references;\n};\n\n/** Returns a pair like this,\n * { title: {field: entry, ... }, ... }\n */\nexports.getRelinkResults = function(wiki, fromTitle, toTitle, context, tiddlerList, options) {\n\toptions = options || {};\n\toptions.wiki = options.wiki || wiki;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\tvar changeList = Object.create(null);\n\tif(fromTitle && toTitle) {\n\t\tif (tiddlerList === undefined) {\n\t\t\ttiddlerList = wiki.getRelinkableTitles();\n\t\t}\n\t\tfor (var i = 0; i < tiddlerList.length; i++) {\n\t\t\tvar title = tiddlerList[i];\n\t\t\tvar tiddler = wiki.getTiddler(title);\n\t\t\tif(tiddler && !tiddler.fields[\"plugin-type\"]) {\n\t\t\t\ttry {\n\t\t\t\t\tvar entries = Object.create(null),\n\t\t\t\t\t\toperators = getRelinkOperators();\n\t\t\t\t\toptions.settings = new Contexts.tiddler(wiki, context, title);\n\t\t\t\t\tfor (var operation in operators) {\n\t\t\t\t\t\toperators[operation].relink(tiddler, fromTitle, toTitle, entries, options);\n\t\t\t\t\t}\n\t\t\t\t\tfor (var field in entries) {\n\t\t\t\t\t\t// So long as there is one key,\n\t\t\t\t\t\t// add it to the change list.\n\t\t\t\t\t\tchangeList[title] = entries;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t} catch (e) {\n\t\t\t\t\t// Should we test for instanceof Error instead?: yes\n\t\t\t\t\t// Does that work in the testing environment?: no\n\t\t\t\t\tif (e.message) {\n\t\t\t\t\t\te.message = e.message + \"\\nWhen relinking '\" + title + \"'\";\n\t\t\t\t\t}\n\t\t\t\t\tthrow e;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn changeList;\n};\n\nvar Contexts = $tw.modules.applyMethods('relinkcontext');\n\nexports.getContext = function(name) {\n\treturn Contexts[name];\n};\n\nexports.getWikiContext = function(wiki) {\n\t// This gives a fresh context every time. It is up to the indexer or\n\t// the cache to preserve those contexts for as long as needed.\n\tvar whitelist = new Contexts.whitelist(wiki);\n\treturn new Contexts.import(wiki, whitelist, macroFilter);\n};\n\n/** Returns the Relink indexer, or a dummy object which pretends to be one.\n */\nexports.getIndexer = function(wiki) {\n\tif (!wiki._relink_indexer) {\n\t\twiki._relink_indexer = (wiki.getIndexer && wiki.getIndexer(\"RelinkIndexer\")) || new (require('$:/plugins/flibbles/relink/js/utils/backupIndexer.js'))(wiki);\n\t}\n\treturn wiki._relink_indexer;\n};\n\n/**Relinking supports a cache that persists throughout a whole relink op.\n * This is because the Tiddlywiki caches may get wiped multiple times\n * throughout the course of a relink.\n */\nexports.getCacheForRun = function(options, cacheName, initializer) {\n\toptions.cache = options.cache || Object.create(null);\n\tif (!$tw.utils.hop(options.cache, cacheName)) {\n\t\toptions.cache[cacheName] = initializer();\n\t}\n\treturn options.cache[cacheName];\n};\n\n/**Returns a specific relinker.\n * This is useful for wikitext rules which need to parse a filter or a list\n */\nexports.getType = function(name) {\n\tvar Handler = getFieldTypes()[name];\n\treturn Handler ? new Handler() : undefined;\n};\n\nexports.getTypes = function() {\n\t// We don't return fieldTypes, because we don't want it modified,\n\t// and we need to filter out legacy names.\n\tvar rtn = Object.create(null);\n\tfor (var type in getFieldTypes()) {\n\t\tvar typeObject = getFieldTypes()[type];\n\t\trtn[typeObject.typeName] = typeObject;\n\t}\n\treturn rtn;\n};\n\nexports.getDefaultType = function(wiki) {\n\tvar tiddler = wiki.getTiddler(\"$:/config/flibbles/relink/settings/default-type\");\n\tvar defaultType = tiddler && tiddler.fields.text;\n\t// make sure the default actually exists, otherwise default\n\treturn fieldTypes[defaultType] ? defaultType : \"title\";\n};\n\nvar fieldTypes;\n\nfunction getFieldTypes() {\n\tif (!fieldTypes) {\n\t\tfieldTypes = Object.create(null);\n\t\t$tw.modules.forEachModuleOfType(\"relinkfieldtype\", function(title, exports) {\n\t\t\tfunction NewType() {};\n\t\t\tNewType.prototype = exports;\n\t\t\tNewType.typeName = exports.name;\n\t\t\tfieldTypes[exports.name] = NewType;\n\t\t\t// For legacy, if the NewType doesn't have a report method, we add one\n\t\t\tif (!exports.report) {\n\t\t\t\texports.report = function() {};\n\t\t\t}\n\t\t\t// Also for legacy, some of the field types can go by other names\n\t\t\tif (exports.aliases) {\n\t\t\t\t$tw.utils.each(exports.aliases, function(alias) {\n\t\t\t\t\tfieldTypes[alias] = NewType;\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t}\n\treturn fieldTypes;\n}\n\nvar relinkOperators;\n\nfunction getRelinkOperators() {\n\tif (!relinkOperators) {\n\t\trelinkOperators = exports.getModulesByTypeAsHashmap('relinkoperator', 'name');\n\t}\n\treturn relinkOperators;\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/utils.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/wikimethods.js": {
"text": "/*\\\nmodule-type: wikimethod\n\nIntroduces some utility methods used by Relink.\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.getTiddlerRelinkReferences = function(title) {\n\treturn utils.getIndexer(this).lookup(title);\n};\n\nexports.getTiddlerRelinkBackreferences = function(title) {\n\treturn utils.getIndexer(this).reverseLookup(title);\n};\n\nexports.getRelinkableTitles = function() {\n\tvar toUpdate = \"$:/config/flibbles/relink/to-update\";\n\tvar wiki = this;\n\treturn this.getCacheForTiddler(toUpdate, \"relink-toUpdate\", function() {\n\t\tvar tiddler = wiki.getTiddler(toUpdate);\n\t\tif (tiddler) {\n\t\t\treturn wiki.compileFilter(tiddler.fields.text);\n\t\t} else {\n\t\t\treturn wiki.allTitles;\n\t\t}\n\t})();\n};\n",
"module-type": "wikimethod",
"title": "$:/plugins/flibbles/relink/js/wikimethods.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/all_relinkable.js": {
"text": "/*\\\nmodule-type: allfilteroperator\n\nFilter function for [all[relinkable]].\nReturns all tiddlers subject to relinking.\n\n\\*/\n\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.relinkable = function(source,prefix,options) {\n\treturn options.wiki.getRelinkableTitles();\n};\n\n})();\n",
"module-type": "allfilteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/all_relinkable.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/references.js": {
"text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven a title as an operand, returns all non-shadow tiddlers that have any\nsort of updatable reference to it.\n\n`relink:backreferences[]]`\n`relink:references[]]`\n\nReturns all tiddlers that reference `fromTiddler` somewhere inside them.\n\nInput is ignored. Maybe it shouldn't do this.\n\\*/\n\nvar LinkedList = $tw.utils.LinkedList;\n\nif (!LinkedList) {\n\t/* If the linked list isn't available, make a quick crappy version. */\n\tLinkedList = function() {this.array=[];};\n\n\tLinkedList.prototype.pushTop = function(array) {\n\t\t$tw.utils.pushTop(this.array, array);\n\t};\n\n\tLinkedList.prototype.toArray = function() {\n\t\treturn this.array;\n\t};\n};\n\nexports.backreferences = function(source,operator,options) {\n\tvar results = new LinkedList();\n\tsource(function(tiddler,title) {\n\t\tresults.pushTop(Object.keys(options.wiki.getTiddlerRelinkBackreferences(title,options)));\n\t});\n\treturn results.toArray();\n};\n\nexports.references = function(source,operator,options) {\n\tvar results = new LinkedList();\n\tsource(function(tiddler,title) {\n\t\tvar refs = options.wiki.getTiddlerRelinkReferences(title,options);\n\t\tif (refs) {\n\t\t\tresults.pushTop(Object.keys(refs));\n\t\t}\n\t});\n\treturn results.toArray();\n};\n",
"module-type": "relinkfilteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/references.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/relink.js": {
"text": "/*\\\nmodule-type: filteroperator\n\nThis filter acts as a namespace for several small, simple filters, such as\n\n`[relink:impossible[]]`\n\n\\*/\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nvar relinkFilterOperators;\n\nfunction getRelinkFilterOperators() {\n\tif(!relinkFilterOperators) {\n\t\trelinkFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"relinkfilteroperator\",\n\t\t relinkFilterOperators);\n\t}\n\treturn relinkFilterOperators;\n}\n\nexports.relink = function(source,operator,options) {\n\tvar suffixPair = parseSuffix(operator.suffix);\n\tvar relinkFilterOperator = getRelinkFilterOperators()[suffixPair[0]];\n\tif (relinkFilterOperator) {\n\t\tvar newOperator = $tw.utils.extend({}, operator);\n\t\tnewOperator.suffix = suffixPair[1];\n\t\treturn relinkFilterOperator(source, newOperator, options);\n\t} else {\n\t\treturn [language.getString(\"Error/RelinkFilterOperator\", options)];\n\t}\n};\n\nfunction parseSuffix(suffix) {\n\tvar index = suffix? suffix.indexOf(\":\"): -1;\n\tif (index >= 0) {\n\t\treturn [suffix.substr(0, index), suffix.substr(index+1)];\n\t} else {\n\t\treturn [suffix];\n\t}\n}\n",
"module-type": "filteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/relink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/report.js": {
"text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven a title as an operand, returns a string for each occurrence of that title\nwithin each input title.\n\n[[title]] +[relink:report[fromTiddler]]`\n\nReturns string representation of fromTiddler occurrences in title.\n\\*/\n\nexports.report = function(source,operator,options) {\n\tvar fromTitle = operator.operand,\n\t\tresults = [];\n\tif (fromTitle) {\n\t\tvar blurbs = options.wiki.getTiddlerRelinkBackreferences(fromTitle);\n\t\tsource(function(tiddler, title) {\n\t\t\tif (blurbs[title]) {\n\t\t\t\tresults = results.concat(blurbs[title]);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n",
"module-type": "relinkfilteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/report.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/signatures.js": {
"text": "/*\\\nmodule-type: relinkfilteroperator\n\nThis filter returns all input tiddlers which are a source of\nrelink configuration.\n\n`[all[tiddlers+system]relink:source[macros]]`\n\n\\*/\n\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nexports.signatures = function(source,operator,options) {\n\tvar plugin = operator.operand || null;\n\tvar set = getSet(options);\n\tif (plugin === \"$:/core\") {\n\t\t// Core doesn't actually have any settings. We mean Relink\n\t\tplugin = \"$:/plugins/flibbles/relink\";\n\t}\n\tvar signatures = [];\n\tfor (var signature in set) {\n\t\tvar source = set[signature].source;\n\t\tif (options.wiki.getShadowSource(source) === plugin) {\n\t\t\tsignatures.push(signature);\n\t\t}\n\t}\n\treturn signatures;\n};\n\nexports.type = function(source,operator,options) {\n\tvar results = [];\n\tvar set = getSet(options);\n\tsource(function(tiddler, signature) {\n\t\tif (set[signature]) {\n\t\t\tresults.push(set[signature].name);\n\t\t}\n\t});\n\treturn results;\n};\n\nexports.types = function(source,operator,options) {\n\tvar def = utils.getDefaultType(options.wiki);\n\tvar types = Object.keys(utils.getTypes());\n\ttypes.sort();\n\t// move default to front\n\ttypes.sort(function(x,y) { return x === def ? -1 : y === def ? 1 : 0; });\n\treturn types;\n};\n\nexports.source = function(source,operator,options) {\n\tvar results = [];\n\tvar category = operator.suffix;\n\tvar set = getSet(options);\n\tsource(function(tiddler, signature) {\n\t\tif (set[signature]) {\n\t\t\tresults.push(set[signature].source);\n\t\t}\n\t});\n\treturn results;\n};\n\nfunction getSet(options) {\n\treturn options.wiki.getGlobalCache(\"relink-signatures\", function() {\n\t\tvar config = utils.getWikiContext(options.wiki);\n\t\tvar set = Object.create(null);\n\t\tvar categories = {\n\t\t\tattributes: config.getAttributes(),\n\t\t\tfields: config.getFields(),\n\t\t\tmacros: config.getMacros(),\n\t\t\toperators: config.getOperators()};\n\t\t$tw.utils.each(categories, function(list, category) {\n\t\t\t$tw.utils.each(list, function(item, key) {\n\t\t\t\tset[category + \"/\" + key] = item;\n\t\t\t});\n\t\t});\n\t\treturn set;\n\t});\n};\n",
"module-type": "relinkfilteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/signatures.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/filteroperators/splitafter.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: relinkfilteroperator\n\nFilter operator that splits each result on the last occurance of the specified separator and returns the last bit.\n\nWhat does this have to do with relink? Nothing. I need this so I can render\nthe configuration menu. I //could// use [splitregexp[]], but then I'd be\nlimited to Tiddlywiki v5.1.20 or later.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitafter = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar index = title.lastIndexOf(operator.operand);\n\t\tif(index < 0) {\n\t\t\t$tw.utils.pushTop(results,title);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,title.substr(index+1));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n\n",
"title": "$:/plugins/flibbles/relink/js/filteroperators/splitafter.js",
"type": "application/javascript",
"module-type": "relinkfilteroperator"
},
"$:/plugins/flibbles/relink/js/filteroperators/wouldchange.js": {
"text": "/*\\\nmodule-type: relinkfilteroperator\n\nwouldchange: Generator.\n\nGiven each input title, it returns all the tiddlers that would be changed if the currentTiddler were to be renamed to the operand.\n\nimpossible: filters all source titles for ones that encounter errors on failure.\n\nTHESE ARE INTERNAL FILTER OPERATOR AND ARE NOT INTENDED TO BE USED BY USERS.\n\n\\*/\n\nvar language = require(\"$:/plugins/flibbles/relink/js/language.js\");\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\n\nexports.wouldchange = function(source,operator,options) {\n\tvar from = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tto = operator.operand,\n\t\tindexer = utils.getIndexer(options.wiki),\n\t\trecords = indexer.relinkLookup(from, to, options);\n\treturn Object.keys(records);\n};\n\nexports.impossible = function(source,operator,options) {\n\tvar from = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tto = operator.operand,\n\t\tresults = [],\n\t\tindexer = utils.getIndexer(options.wiki),\n\t\trecords = indexer.relinkLookup(from, to, options);\n\tsource(function(tiddler, title) {\n\t\tvar fields = records[title];\n\t\tif (fields) {\n\t\t\tfor (var field in fields) {\n\t\t\t\tif (fields[field].impossible) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n",
"module-type": "relinkfilteroperator",
"title": "$:/plugins/flibbles/relink/js/filteroperators/wouldchange.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/filter.js": {
"text": "/*\\\nThis specifies logic for updating filters to reflect title changes.\n\\*/\n\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\n\nexports.name = \"filter\";\n\nexports.report = function(filter, callback, options) {\n\t// I cheat here for now. Relink handles reporting too in cases where\n\t// fromTitle is undefined. toTitle is the callback in those cases.\n\texports.relink(filter, undefined, callback, options);\n};\n\n/**Returns undefined if no change was made.\n */\nexports.relink = function(filter, fromTitle, toTitle, options) {\n\tvar relinker = new Rebuilder(filter),\n\t\tp = 0, // Current position in the filter string\n\t\tmatch, noPrecedingWordBarrier,\n\t\twordBarrierRequired=false;\n\tvar whitespaceRegExp = /\\s+/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=|\\:\\w+)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg,\n\t\tblurbs = [];\n\twhile(p < filter.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filter);\n\t\tnoPrecedingWordBarrier = false;\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t} else if (p != 0) {\n\t\t\tif (wordBarrierRequired) {\n\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\twordBarrierRequired = false;\n\t\t\t} else {\n\t\t\t\tnoPrecedingWordBarrier = true;\n\t\t\t}\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filter.length) {\n\t\t\tvar val;\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filter);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\t// It's a bad filter\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tif(match[1]) { // prefix\n\t\t\t\tp += match[1].length;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\t// We check if this is a standalone title,\n\t\t\t\t// like `[[MyTitle]]`. We treat those like\n\t\t\t\t// `\"MyTitle\"` or `MyTitle`. Not like a run.\n\t\t\t\tvar standaloneTitle = /\\[\\[([^\\]]+)\\]\\]/g;\n\t\t\t\tstandaloneTitle.lastIndex = p;\n\t\t\t\tvar alone = standaloneTitle.exec(filter);\n\t\t\t\tif (!alone || alone.index != p) {\n\t\t\t\t\tif (fromTitle === undefined) {\n\t\t\t\t\t\t// toTitle is a callback method in this case.\n\t\t\t\t\t\tp =reportFilterOperation(filter, function(title, blurb){\n\t\t\t\t\t\t\tif (match[1]) {\n\t\t\t\t\t\t\t\tblurbs.push([title, match[1] + (blurb || '')]);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tblurbs.push([title, blurb]);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t},p,options.settings,options);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tp =relinkFilterOperation(relinker,fromTitle,toTitle,filter,p,options.settings,options);\n\t\t\t\t\t}\n\t\t\t\t\t// It's a legit run\n\t\t\t\t\tif (p === undefined) {\n\t\t\t\t\t\t// The filter is malformed\n\t\t\t\t\t\t// We do nothing.\n\t\t\t\t\t\treturn undefined;\n\t\t\t\t\t}\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tbracketTitle = alone[1];\n\t\t\t\toperandRegExp.lastIndex = standaloneTitle.lastIndex;\n\t\t\t\tval = alone[1];\n\t\t\t} else {\n\t\t\t\t// standalone Double quoted string, single\n\t\t\t\t// quoted string, or noquote ahead.\n\t\t\t\tval = match[3] || match[4] || match[5];\n\t\t\t}\n\t\t\t// From here on, we're dealing with a standalone title\n\t\t\t// expression. like `\"MyTitle\"` or `[[MyTitle]]`\n\t\t\t// We're much more flexible about relinking these.\n\t\t\tvar preference = undefined;\n\t\t\tif (match[3]) {\n\t\t\t\tpreference = '\"';\n\t\t\t} else if (match[4]) {\n\t\t\t\tpreference = \"'\";\n\t\t\t} else if (match[5]) {\n\t\t\t\tpreference = '';\n\t\t\t}\n\t\t\tif (fromTitle === undefined) {\n\t\t\t\t// Report it\n\t\t\t\tblurbs.push([val, match[1]]);\n\t\t\t} else if (val === fromTitle) {\n\t\t\t\t// Relink it\n\t\t\t\tvar entry = {name: \"title\"};\n\t\t\t\tvar newVal = wrapTitle(toTitle, preference);\n\t\t\t\tif (newVal === undefined || (options.inBraces && newVal.indexOf('}}}') >= 0)) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\trelinker.impossible = true;\n\t\t\t\t\t\tp = operandRegExp.lastIndex;\n\t\t\t\t\t\tcontinue;\n\t\t\t\t\t}\n\n\t\t\t\t\tnewVal = \"[<\"+options.placeholder.getPlaceholderFor(toTitle)+\">]\";\n\t\t\t\t}\n\t\t\t\tif (newVal[0] != '[') {\n\t\t\t\t\t// not bracket enclosed\n\t\t\t\t\t// this requires whitespace\n\t\t\t\t\t// arnound it\n\t\t\t\t\tif (noPrecedingWordBarrier && !match[1]) {\n\t\t\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\t\t}\n\t\t\t\t\twordBarrierRequired = true;\n\t\t\t\t}\n\t\t\t\tentry.output = toTitle;\n\t\t\t\tentry.operator = {operator: \"title\"};\n\t\t\t\tentry.quotation = preference;\n\t\t\t\tif (entry.impossible) {\n\t\t\t\t\trelinker.impossible = true;\n\t\t\t\t}\n\t\t\t\trelinker.add(newVal,p,operandRegExp.lastIndex);\n\t\t\t}\n\t\t\tp = operandRegExp.lastIndex;\n\t\t}\n\t}\n\tif (fromTitle === undefined) {\n\t\t// We delay the blurb calls until now in case it's a malformed\n\t\t// filter string. We don't want to report some, only to find out\n\t\t// it's bad.\n\t\tfor (var i = 0; i < blurbs.length; i++) {\n\t\t\ttoTitle(blurbs[i][0], blurbs[i][1]);\n\t\t}\n\t}\n\tif (relinker.changed() || relinker.impossible) {\n\t\treturn {output: relinker.results(), impossible: relinker.impossible };\n\t}\n\treturn undefined;\n};\n\n/* Same as this.relink, except this has the added constraint that the return\n * value must be able to be wrapped in curly braces. (i.e. '{{{...}}}')\n */\nexports.relinkInBraces = function(filter, fromTitle, toTitle, options) {\n\tvar braceOptions = $tw.utils.extend({inBraces: true}, options);\n\tvar entry = this.relink(filter, fromTitle, toTitle, braceOptions);\n\tif (entry && entry.output && !canBeInBraces(entry.output)) {\n\t\t// It was possible, but it won't fit in braces, so we must give up\n\t\tdelete entry.output;\n\t\tentry.impossible = true;\n\t}\n\treturn entry;\n};\n\nfunction wrapTitle(value, preference) {\n\tvar choices = {\n\t\t\"\": function(v) {return /^[^\\s\\[\\]]*[^\\s\\[\\]\\}]$/.test(v); },\n\t\t\"[\": canBePrettyOperand,\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; }\n\t};\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"[\": function(v) {return \"[[\"+v+\"]]\"; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; }\n\t};\n\tif (choices[preference]) {\n\t\tif (choices[preference](value)) {\n\t\t\treturn wrappers[preference](value);\n\t\t}\n\t}\n\tfor (var quote in choices) {\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrappers[quote](value);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n}\n\nfunction relinkFilterOperation(relinker, fromTitle, toTitle, filterString, p, context, options) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\t// Process each operator in turn\n\toperator = parseOperator(filterString, p);\n\tdo {\n\t\tvar entry = undefined, type;\n\t\tif (operator === undefined) {\n\t\t\treturn undefined;\n\t\t}\n\t\tp = operator.opStart;\n\t\tswitch (operator.bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\ttype = \"indirect\";\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// We've got a live reference. relink or report\n\t\t\t\tentry = refHandler.relinkInBraces(operand, fromTitle, toTitle, options);\n\t\t\t\tif (entry && entry.output) {\n\t\t\t\t\t// We don't check the context.\n\t\t\t\t\t// All indirect operands convert.\n\t\t\t\t\trelinker.add(entry.output,p,nextBracketPos);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\ttype = \"string\";\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Check if this is a relevant operator\n\t\t\t\tvar handler = fieldType(context, operator);\n\t\t\t\tif (!handler) {\n\t\t\t\t\t// This operator isn't managed. Bye.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tentry = handler.relink(operand, fromTitle, toTitle, options);\n\t\t\t\tif (!entry || !entry.output) {\n\t\t\t\t\t// The fromTitle wasn't in the operand.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tvar wrapped;\n\t\t\t\tif (!canBePrettyOperand(entry.output) || (options.inBraces && entry.output.indexOf('}}}') >= 0)) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\tdelete entry.output;\n\t\t\t\t\t\tentry.impossible = true;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t\tvar ph = options.placeholder.getPlaceholderFor(entry.output, handler.name);\n\t\t\t\t\twrapped = \"<\"+ph+\">\";\n\t\t\t\t} else {\n\t\t\t\t\twrapped = \"[\"+entry.output+\"]\";\n\t\t\t\t}\n\t\t\t\trelinker.add(wrapped, p-1, nextBracketPos+1);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\t// Unterminated regular expression\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t\tif (entry) {\n\t\t\tif (entry.impossible) {\n\t\t\t\trelinker.impossible = true;\n\t\t\t}\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing closing bracket in filter expression\n\t\t\treturn undefined;\n\t\t}\n\t\tp = nextBracketPos + 1;\n\t\t// Check for multiple operands\n\t\tswitch (filterString.charAt(p)) {\n\t\tcase ',':\n\t\t\tp++;\n\t\t\tif(/^[\\[\\{<\\/]/.test(filterString.substring(p))) {\n\t\t\t\toperator.bracket = filterString.charAt(p);\n\t\t\t\toperator.opStart = p + 1;\n\t\t\t\toperator.index++;\n\t\t\t} else {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tcontinue;\n\t\tdefault:\n\t\t\toperator = parseOperator(filterString, p);\n\t\t\tcontinue;\n\t\tcase ']':\n\t\t}\n\t\tbreak;\n\t} while(true);\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\t// Missing ] in filter expression\n\t\treturn undefined;\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\nfunction reportFilterOperation(filterString, callback, p, context, options) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\toperator = parseOperator(filterString, p);\n\t// Process each operator in turn\n\tdo {\n\t\tif (operator === undefined) {\n\t\t\treturn undefined;\n\t\t}\n\t\tp = operator.opStart;\n\t\tswitch (operator.bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Just report it\n\t\t\t\trefHandler.report(operand, function(title, blurb) {\n\t\t\t\t\tcallback(title, operatorBlurb(operator, '{' + (blurb || '') + '}'));\n\t\t\t\t}, options);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Check if this is a relevant operator\n\t\t\t\tvar handler = fieldType(context, operator);\n\t\t\t\tif (!handler) {\n\t\t\t\t\t// This operator isn't managed. Bye.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\t// We just have to report it. Nothing more.\n\t\t\t\thandler.report(operand, function(title, blurb) {\n\t\t\t\t\tcallback(title, operatorBlurb(operator, '[' + (blurb || '') + ']'));\n\t\t\t\t}, options);\n\t\t\t\tbreak;\n\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\t// Unterminated regular expression\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing closing bracket in filter expression\n\t\t\treturn undefined;\n\t\t}\n\t\tp = nextBracketPos + 1;\n\t\t// Check for multiple operands\n\t\tswitch (filterString.charAt(p)) {\n\t\tcase ',':\n\t\t\tp++;\n\t\t\tif(/^[\\[\\{<\\/]/.test(filterString.substring(p))) {\n\t\t\t\toperator.bracket = filterString.charAt(p);\n\t\t\t\toperator.opStart = p + 1;\n\t\t\t\toperator.index++;\n\t\t\t} else {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tcontinue;\n\t\tdefault:\n\t\t\toperator = parseOperator(filterString, p);\n\t\t\tcontinue;\n\t\tcase ']':\n\t\t}\n\t\tbreak;\n\t} while(true);\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\t// Missing ] in filter expression\n\t\treturn undefined;\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\nfunction parseOperator(filterString, p) {\n\tvar nextBracketPos, operator = {index: 1};\n\t// Check for an operator prefix\n\tif(filterString.charAt(p) === \"!\") {\n\t\toperator.prefix = \"!\";\n\t\tp++;\n\t}\n\t// Get the operator name\n\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\tif(nextBracketPos === -1) {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\tnextBracketPos += p;\n\toperator.bracket = filterString.charAt(nextBracketPos);\n\toperator.operator = filterString.substring(p,nextBracketPos);\n\n\t// Any suffix?\n\tvar colon = operator.operator.indexOf(':');\n\tif(colon > -1) {\n\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t}\n\t// Empty operator means: title\n\telse if(operator.operator === \"\") {\n\t\toperator.operator = \"title\";\n\t\toperator.default = true;\n\t}\n\toperator.opStart = nextBracketPos + 1;\n\treturn operator;\n};\n\nfunction operatorBlurb(operator, enquotedOperand) {\n\tvar suffix = operator.suffix ? (':' + operator.suffix) : '';\n\t// commas to indicate which number operand\n\tsuffix += (new Array(operator.index)).join(',');\n\tvar op = operator.default ? '' : operator.operator;\n\treturn '[' + (operator.prefix || '') + op + suffix + enquotedOperand + ']';\n};\n\n// Returns the relinker needed for a given operator, or returns undefined.\nfunction fieldType(context, operator) {\n\treturn (operator.suffix &&\n\t context.getOperator(operator.operator + ':' + operator.suffix, operator.index)) ||\n\t context.getOperator(operator.operator, operator.index);\n};\n\nfunction canBePrettyOperand(value) {\n\treturn value.indexOf(']') < 0;\n};\n\nfunction canBeInBraces(value) {\n\treturn value.indexOf(\"}}}\") < 0 && value.substr(value.length-2) !== '}}';\n};\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/filter.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/list.js": {
"text": "/*\\\nThis manages replacing titles that occur within stringLists, like,\n\nTiddlerA [[Tiddler with spaces]] [[Another Title]]\n\\*/\n\nexports.name = \"list\";\n\nexports.report = function(value, callback, options) {\n\tvar list = $tw.utils.parseStringArray(value);\n\tfor (var i = 0; i < list.length; i++) {\n\t\tcallback(list[i]);\n\t}\n};\n\n/**Returns undefined if no change was made.\n * Parameter: value can literally be a list. This can happen for builtin\n * types 'list' and 'tag'. In those cases, we also return list.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar isModified = false,\n\t\tactualList = false,\n\t\tlist;\n\tif (typeof value !== \"string\") {\n\t\t// Not a string. Must be a list.\n\t\t// clone it, since we may make changes to this possibly\n\t\t// frozen list.\n\t\tlist = (value || []).slice(0);\n\t\tactualList = true;\n\t} else {\n\t\tlist = $tw.utils.parseStringArray(value || \"\");\n\t}\n\t$tw.utils.each(list,function (title,index) {\n\t\tif(title === fromTitle) {\n\t\t\tlist[index] = toTitle;\n\t\t\tisModified = true;\n\t\t}\n\t});\n\tif (isModified) {\n\t\tvar entry = {name: \"list\"};\n\t\t// It doesn't parse correctly alone, it won't\n\t\t// parse correctly in any list.\n\t\tif (!canBeListItem(toTitle)) {\n\t\t\tentry.impossible = true;\n\t\t} else if (actualList) {\n\t\t\tentry.output = list;\n\t\t} else {\n\t\t\tentry.output = $tw.utils.stringifyList(list);\n\t\t}\n\t\treturn entry;\n\t}\n\treturn undefined;\n};\n\nfunction canBeListItem(value) {\n\tvar regexp = /\\]\\][^\\S\\xA0]/m;\n\treturn !regexp.test(value);\n};\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/list.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/reference.js": {
"text": "/*\\\nThis manages replacing titles that occur inside text references,\n\ntiddlerTitle\ntiddlerTitle!!field\n!!field\ntiddlerTitle##propertyIndex\n\\*/\n\nexports.name = \"reference\";\n\nexports.report = function(value, callback, options) {\n\tif (value) {\n\t\tvar reference = $tw.utils.parseTextReference(value),\n\t\t\ttitle = reference.title,\n\t\t\tblurb;\n\t\tif (title) {\n\t\t\tif (reference.field) {\n\t\t\t\tblurb = '!!' + reference.field;\n\t\t\t} else if (reference.index) {\n\t\t\t\tblurb = '##' + reference.index;\n\t\t\t}\n\t\t\tcallback(title, blurb);\n\t\t}\n\t}\n};\n\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar entry;\n\tif (value) {\n\t\tvar reference = $tw.utils.parseTextReference(value);\n\t\tif (reference.title === fromTitle) {\n\t\t\tif (!exports.canBePretty(toTitle)) {\n\t\t\t\tentry = {impossible: true};\n\t\t\t} else {\n\t\t\t\treference.title = toTitle;\n\t\t\t\tentry = {output: exports.toString(reference)};\n\t\t\t}\n\t\t}\n\t}\n\treturn entry;\n};\n\n/* Same as this.relink, except this has the added constraint that the return\n * value must be able to be wrapped in curly braces.\n */\nexports.relinkInBraces = function(value, fromTitle, toTitle, options) {\n\tvar log = this.relink(value, fromTitle, toTitle, options);\n\tif (log && log.output && toTitle.indexOf(\"}\") >= 0) {\n\t\tdelete log.output;\n\t\tlog.impossible = true;\n\t}\n\treturn log;\n};\n\nexports.toString = function(textReference) {\n\tvar title = textReference.title || '';\n\tif (textReference.field) {\n\t\treturn title + \"!!\" + textReference.field;\n\t} else if (textReference.index) {\n\t\treturn title + \"##\" + textReference.index;\n\t}\n\treturn title;\n};\n\nexports.canBePretty = function(title) {\n\treturn !title || (title.indexOf(\"!!\") < 0 && title.indexOf(\"##\") < 0);\n};\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/reference.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/title.js": {
"text": "/*\\\nThis specifies logic for replacing a single-tiddler field. This is the\nsimplest kind of field type. One title swaps out for the other.\n\\*/\n\n// NOTE TO MODDERS: If you're making your own field types, the name must be\n// alpha characters only.\nexports.name = 'title';\n\nexports.report = function(value, callback, options) {\n\tcallback(value);\n};\n\n/**Returns undefined if no change was made.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tif (value === fromTitle) {\n\t\treturn {output: toTitle};\n\t}\n\treturn undefined;\n};\n\n// This is legacy support for when 'title' was known as 'field'\nexports.aliases = ['field', 'yes'];\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/title.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/fieldtypes/wikitext.js": {
"text": "/*\\\nThis specifies logic for updating filters to reflect title changes.\n\\*/\n\nexports.name = \"wikitext\";\n\nvar type = 'text/vnd.tiddlywiki';\n\nvar WikiParser = require(\"$:/core/modules/parsers/wikiparser/wikiparser.js\")[type];\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder.js\");\nvar utils = require('$:/plugins/flibbles/relink/js/utils');\nvar WikitextContext = utils.getContext('wikitext');\n\nfunction collectRules() {\n\tvar rules = Object.create(null);\n\t$tw.modules.forEachModuleOfType(\"relinkwikitextrule\", function(title, exports) {\n\t\tvar names = exports.name;\n\t\tif (typeof names === \"string\") {\n\t\t\tnames = [names];\n\t\t}\n\t\tif (names !== undefined) {\n\t\t\tfor (var i = 0; i < names.length; i++) {\n\t\t\t\trules[names[i]] = exports;\n\t\t\t}\n\t\t}\n\t});\n\treturn rules;\n}\n\nfunction WikiWalker(type, text, options) {\n\tthis.options = options;\n\tif (!this.relinkMethodsInjected) {\n\t\tvar rules = collectRules();\n\t\t$tw.utils.each([this.pragmaRuleClasses, this.blockRuleClasses, this.inlineRuleClasses], function(classList) {\n\t\t\tfor (var name in classList) {\n\t\t\t\tif (rules[name]) {\n\t\t\t\t\tdelete rules[name].name;\n\t\t\t\t\t$tw.utils.extend(classList[name].prototype, rules[name]);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tWikiWalker.prototype.relinkMethodsInjected = true;\n\t}\n\tthis.context = new WikitextContext(options.settings);\n\tWikiParser.call(this, type, text, options);\n};\n\nWikiWalker.prototype = Object.create(WikiParser.prototype);\n\nWikiWalker.prototype.parsePragmas = function() {\n\tvar entries = this.tree;\n\twhile (true) {\n\t\tthis.skipWhitespace();\n\t\tif (this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules, this.pos);\n\t\tif (!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\tentries.push.apply(entries, this.handleRule(nextMatch));\n\t}\n\treturn entries;\n};\n\nWikiWalker.prototype.parseInlineRunUnterminated = function(options) {\n\tvar entries = [];\n\tvar nextMatch = this.findNextMatch(this.inlineRules, this.pos);\n\twhile (this.pos < this.sourceLength && nextMatch) {\n\t\tif (nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\tentries.push.apply(entries, this.handleRule(nextMatch));\n\t\tnextMatch = this.findNextMatch(this.inlineRules, this.pos);\n\t}\n\tthis.pos = this.sourceLength;\n\treturn entries;\n};\n\nWikiWalker.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\tvar entries = [];\n\toptions = options || {};\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\tif (terminatorMatch) {\n\t\t\tif (!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif (options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn entries;\n\t\t\t}\n\t\t}\n\t\tif (inlineRuleMatch) {\n\t\t\tif (inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\tentries.push.apply(entries, this.handleRule(inlineRuleMatch));\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules, this.pos);\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\tthis.pos = this.sourceLength;\n\treturn entries;\n\n};\n\nWikiWalker.prototype.parseBlock = function(terminatorRegExp) {\n\tvar terminatorRegExp = /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif (this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\tvar nextMatch = this.findNextMatch(this.blockRules, this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn this.handleRule(nextMatch);\n\t}\n\treturn this.parseInlineRun(terminatorRegExp);\n};\n\nWikiWalker.prototype.amendRules = function(type, names) {\n\tvar only;\n\tWikiParser.prototype.amendRules.call(this, type, names);\n\tif (type === \"only\") {\n\t\tonly = true;\n\t} else if (type === \"except\") {\n\t\tonly = false;\n\t} else {\n\t\treturn;\n\t}\n\tif (only !== (names.indexOf(\"macrodef\") >= 0) && this.options.macrodefCanBeDisabled) {\n\t\tthis.options.placeholder = undefined\n\t}\n\tif (only !== (names.indexOf(\"html\") >= 0)) {\n\t\tthis.context.allowWidgets = disabled;\n\t}\n\tif (only !== (names.indexOf(\"prettylink\") >= 0)) {\n\t\tthis.context.allowPrettylinks = disabled;\n\t}\n};\n\nfunction disabled() { return false; };\n\n/// Reporter\n\nfunction WikiReporter(type, text, callback, options) {\n\tthis.callback = callback;\n\tWikiWalker.call(this, type, text, options);\n};\n\nWikiReporter.prototype = Object.create(WikiWalker.prototype);\n\nWikiReporter.prototype.handleRule = function(ruleInfo) {\n\tif (ruleInfo.rule.report) {\n\t\truleInfo.rule.report(this.source, this.callback, this.options);\n\t} else {\n\t\tif (ruleInfo.rule.matchRegExp !== undefined) {\n\t\t\tthis.pos = ruleInfo.rule.matchRegExp.lastIndex;\n\t\t} else {\n\t\t\t// We can't easily determine the end of this\n\t\t\t// rule match. We'll \"parse\" it so that\n\t\t\t// parser.pos gets updated, but we throw away\n\t\t\t// the results.\n\t\t\truleInfo.rule.parse();\n\t\t}\n\t}\n};\n\nexports.report = function(wikitext, callback, options) {\n\t// Unfortunately it's the side-effect of creating this that reports.\n\tnew WikiReporter(options.type, wikitext, callback, options);\n};\n\n/// Relinker\n\nfunction WikiRelinker(type, text, fromTitle, toTitle, options) {\n\tthis.fromTitle = fromTitle;\n\tthis.toTitle = toTitle;\n\tthis.placeholder = options.placeholder;\n\tif (this.placeholder) {\n\t\tthis.placeholder.parser = this;\n\t}\n\tWikiWalker.call(this, type, text, options);\n};\n\nWikiRelinker.prototype = Object.create(WikiWalker.prototype);\n\nWikiRelinker.prototype.handleRule = function(ruleInfo) {\n\tif (ruleInfo.rule.relink) {\n\t\tvar start = ruleInfo.matchIndex;\n\t\tvar newEntry = ruleInfo.rule.relink(this.source, this.fromTitle, this.toTitle, this.options);\n\t\tif (newEntry !== undefined) {\n\t\t\tif (newEntry.output) {\n\t\t\t\tnewEntry.start = start;\n\t\t\t\tnewEntry.end = this.pos;\n\t\t\t}\n\t\t\treturn [newEntry];\n\t\t}\n\t} else {\n\t\tif (ruleInfo.rule.matchRegExp !== undefined) {\n\t\t\tthis.pos = ruleInfo.rule.matchRegExp.lastIndex;\n\t\t} else {\n\t\t\t// We can't easily determine the end of this\n\t\t\t// rule match. We'll \"parse\" it so that\n\t\t\t// parser.pos gets updated, but we throw away\n\t\t\t// the results.\n\t\t\truleInfo.rule.parse();\n\t\t}\n\t}\n\treturn [];\n};\n\nexports.relink = function(wikitext, fromTitle, toTitle, options) {\n\tvar parser = new WikiRelinker(options.type, wikitext, fromTitle, toTitle, options),\n\t\twikiEntry = undefined;\n\t// Now that we have an array of entries, let's produce the wikiText entry\n\t// containing them all.\n\tif (parser.tree.length > 0) {\n\t\tvar builder = new Rebuilder(wikitext);\n\t\twikiEntry = {};\n\t\tfor (var i = 0; i < parser.tree.length; i++) {\n\t\t\tvar entry = parser.tree[i];\n\t\t\tif (entry.impossible) {\n\t\t\t\twikiEntry.impossible = true;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\tbuilder.add(entry.output, entry.start, entry.end);\n\t\t\t}\n\t\t}\n\t\twikiEntry.output = builder.results();\n\t}\n\treturn wikiEntry;\n};\n",
"module-type": "relinkfieldtype",
"title": "$:/plugins/flibbles/relink/js/fieldtypes/wikitext.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/fields.js": {
"text": "/*\\\n\nHandles all fields specified in the plugin configuration. Currently, this\nonly supports single-value fields.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = 'fields';\n\nexports.report = function(tiddler, callback, options) {\n\tvar fields = options.settings.getFields();\n\t$tw.utils.each(fields, function(handler, field) {\n\t\tvar input = tiddler.fields[field];\n\t\tif (input) {\n\t\t\thandler.report(input, function(title, blurb) {\n\t\t\t\tif (blurb) {\n\t\t\t\t\tcallback(title, field + ': ' + blurb);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(title, field);\n\t\t\t\t}\n\t\t\t}, options);\n\t\t}\n\t});\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar fields = options.settings.getFields();\n\t$tw.utils.each(fields, function(handler, field) {\n\t\tvar input = tiddler.fields[field];\n\t\tif (input) {\n\t\t\tvar entry = handler.relink(input, fromTitle, toTitle, options);\n\t\t\tif (entry !== undefined) {\n\t\t\t\tchanges[field] = entry;\n\t\t\t}\n\t\t}\n\t});\n};\n",
"module-type": "relinkoperator",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/fields.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text.js": {
"text": "/*\\\n\nDepending on the tiddler type, this will apply textOperators which may\nrelink titles within the body.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar defaultOperator = \"text/vnd.tiddlywiki\";\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nexports.name = 'text';\n\nvar textOperators = utils.getModulesByTypeAsHashmap('relinktextoperator', 'type');\n\n// $:/DefaultTiddlers is a tiddler which has type \"text/vnd.tiddlywiki\",\n// but it lies. It doesn't contain wikitext. It contains a filter, so\n// we pretend it has a filter type.\n// If you want to be able to add more exceptions for your plugin, let me know.\nvar exceptions = {\n\t\"$:/DefaultTiddlers\": \"text/x-tiddler-filter\"\n};\n\nexports.report = function(tiddler, callback, options) {\n\tvar fields = tiddler.fields;\n\tif (fields.text) {\n\t\tvar type = exceptions[fields.title] || fields.type || defaultOperator;\n\t\tif (textOperators[type]) {\n\t\t\tvar entry = textOperators[type].report(tiddler, callback, options);\n\t\t}\n\t}\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar fields = tiddler.fields;\n\tif (fields.text) {\n\t\tvar type = exceptions[fields.title] || fields.type || defaultOperator;\n\t\tif (textOperators[type]) {\n\t\t\tvar entry = textOperators[type].relink(tiddler, fromTitle, toTitle, options);\n\t\t\tif (entry) {\n\t\t\t\tchanges.text = entry;\n\t\t\t}\n\t\t}\n\t}\n};\n",
"module-type": "relinkoperator",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/filtertext.js": {
"text": "/*\\\n\nThis relinks tiddlers which contain filters in their body, as oppose to\nwikitext.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/utils\").getType('filter');\n\nexports.type = 'text/x-tiddler-filter';\n\nexports.report = function(tiddler, callback, options) {\n\treturn filterHandler.report(tiddler.fields.text, callback, options);\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, options) {\n\treturn filterHandler.relink(tiddler.fields.text, fromTitle, toTitle, options)\n};\n",
"module-type": "relinktextoperator",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/filtertext.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js": {
"text": "/*\\\n\nChecks for fromTitle in a tiddler's text. If found, sees if it's relevant,\nand tries to swap it out if it is.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Placeholder = require(\"$:/plugins/flibbles/relink/js/utils/placeholder.js\");\nvar wikitextHandler = require('$:/plugins/flibbles/relink/js/utils.js').getType('wikitext');\n\nexports.type = 'text/vnd.tiddlywiki';\n\nexports.report = function(tiddler, callback, options) {\n\twikitextHandler.report(tiddler.fields.text, callback, options);\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, options) {\n\tvar placeholder = new Placeholder();\n\tvar currentOptions = Object.create(options);\n\tcurrentOptions.placeholder = placeholder;\n\tvar entry = wikitextHandler.relink(tiddler.fields.text, fromTitle, toTitle, currentOptions);\n\tif (entry && entry.output) {\n\t\t// If there's output, we've also got to prepend any macros\n\t\t// that the placeholder defined.\n\t\tvar preamble = placeholder.getPreamble();\n\t\tentry.output = preamble + entry.output;\n\t}\n\treturn entry;\n};\n",
"module-type": "relinktextoperator",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/code.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles code blocks. Or rather //doesn't// handle them, since we should\nignore their contents.\n\n\"`` [[Renamed Title]] ``\" will remain unchanged.\n\n\\*/\n\nexports.name = [\"codeinline\", \"codeblock\"];\n\nexports.relink = function(text) {\n\tvar reEnd;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// I'm lazy. This relink method works for both codeblock and codeinline\n\tif (this.match[0].length > 2) {\n\t\t// Must be a codeblock\n\t\treEnd = /\\r?\\n```$/mg;\n\t} else {\n\t\t// Must be a codeinline\n\t\treEnd = new RegExp(this.match[1], \"mg\");\n\t}\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(text);\n\tif (match) {\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn undefined;\n};\n\n// Same thing. Just skip the pos ahead.\nexports.report = exports.relink;\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/code.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles comment blocks. Or rather //doesn't// handle them, since we should\nignore their contents.\n\n\"<!-- [[Renamed Title]] -->\" will remain unchanged.\n\n\\*/\n\nexports.name = [\"commentinline\", \"commentblock\"];\n\nexports.relink = function(text) {\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\treturn undefined;\n};\n\nexports.report = exports.relink;\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of filtered transclusions in wiki text like,\n\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n\nThis renames both the list and the template field.\n\n\\*/\n\nexports.name = ['filteredtranscludeinline', 'filteredtranscludeblock'];\n\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/utils\").getType('filter');\nvar utils = require(\"./utils.js\");\n\nexports.report = function(text, callback, options) {\n\tvar m = this.match,\n\t\tfilter = m[1],\n\t\ttemplate = $tw.utils.trim(m[3]),\n\t\tappend = template ? '||' + template + '}}}' : '}}}';\n\tfilterHandler.report(filter, function(title, blurb) {\n\t\tcallback(title, '{{{' + blurb + append);\n\t}, options);\n\tif (template) {\n\t\tcallback(template, '{{{' + $tw.utils.trim(filter).replace(/\\r?\\n/mg, ' ') + '||}}}');\n\t}\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar m = this.match,\n\t\tfilter = m[1],\n\t\ttooltip = m[2],\n\t\ttemplate = m[3],\n\t\tstyle = m[4],\n\t\tclasses = m[5],\n\t\tparser = this.parser,\n\t\tentry = {};\n\tparser.pos = this.matchRegExp.lastIndex;\n\tvar modified = false;\n\n\tvar filterEntry = filterHandler.relink(filter, fromTitle, toTitle, options);\n\tif (filterEntry !== undefined) {\n\t\tif (filterEntry.output) {\n\t\t\tfilter = filterEntry.output;\n\t\t\tmodified = true;\n\t\t}\n\t\tif (filterEntry.impossible) {\n\t\t\tentry.impossible = true;\n\t\t}\n\t}\n\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t// preserves user-inputted whitespace\n\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tif (!modified) {\n\t\tif (!entry.impossible) {\n\t\t\treturn undefined;\n\t\t}\n\t} else {\n\t\tvar output = this.makeFilteredtransclude(this.parser, filter, tooltip, template, style, classes);\n\t\tif (output === undefined) {\n\t\t\tentry.impossible = true;\n\t\t} else {\n\t\t\t// By copying over the ending newline of the original\n\t\t\t// text if present, thisrelink method thus works for\n\t\t\t// both the inline and block rule\n\t\t\tentry.output = output + utils.getEndingNewline(m[0]);\n\t\t}\n\t}\n\treturn entry;\n};\n\nexports.makeFilteredtransclude = function(parser, filter, tooltip, template, style, classes) {\n\tif (canBePretty(filter) && canBePrettyTemplate(template)) {\n\t\treturn prettyList(filter, tooltip, template, style, classes);\n\t}\n\tif (classes !== undefined) {\n\t\tclasses = classes.split('.').join(' ');\n\t}\n\treturn utils.makeWidget(parser, '$list', {\n\t\tfilter: filter,\n\t\ttooltip: tooltip,\n\t\ttemplate: template,\n\t\tstyle: style || undefined,\n\t\titemClass: classes});\n};\n\nfunction prettyList(filter, tooltip, template, style, classes) {\n\tif (tooltip === undefined) {\n\t\ttooltip = '';\n\t} else {\n\t\ttooltip = \"|\" + tooltip;\n\t}\n\tif (template === undefined) {\n\t\ttemplate = '';\n\t} else {\n\t\ttemplate = \"||\" + template;\n\t}\n\tif (classes === undefined) {\n\t\tclasses = '';\n\t} else {\n\t\tclasses = \".\" + classes;\n\t}\n\tstyle = style || '';\n\treturn \"{{{\"+filter+tooltip+template+\"}}\"+style+\"}\"+classes;\n};\n\nfunction canBePretty(filter) {\n\treturn filter.indexOf('|') < 0 && filter.indexOf('}}') < 0;\n};\n\nfunction canBePrettyTemplate(template) {\n\treturn !template || (\n\t\ttemplate.indexOf('|') < 0\n\t\t&& template.indexOf('{') < 0\n\t\t&& template.indexOf('}') < 0);\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in attributes of widgets and html elements\nThis is configurable to select exactly which attributes of which elements\nshould be changed.\n\n<$link to=\"TiddlerTitle\" />\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar relinkUtils = require('$:/plugins/flibbles/relink/js/utils.js');\nvar refHandler = relinkUtils.getType('reference');\nvar filterHandler = relinkUtils.getType('filter');\nvar ImportContext = relinkUtils.getContext('import');\nvar macrocall = require(\"./macrocall.js\");\n\nexports.name = \"html\";\n\nexports.report = function(text, callback, options) {\n\tvar managedElement = this.parser.context.getAttribute(this.nextTag.tag);\n\tvar importFilterAttr;\n\tvar element = this.nextTag.tag;\n\tfor (var attributeName in this.nextTag.attributes) {\n\t\tvar attr = this.nextTag.attributes[attributeName];\n\t\tvar nextEql = text.indexOf('=', attr.start);\n\t\t// This is the rare case of changing tiddler\n\t\t// \"true\" to something else when \"true\" is\n\t\t// implicit, like <$link to /> We ignore those.\n\t\tif (nextEql < 0 || nextEql > attr.end) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\timportFilterAttr = attr;\n\t\t}\n\t\tvar oldLength, quotedValue = undefined, entry;\n\t\tif (attr.type === \"string\") {\n\t\t\tvar handler = getAttributeHandler(this.parser.context, this.nextTag, attributeName, options);\n\t\t\tif (!handler) {\n\t\t\t\t// We don't manage this attribute. Bye.\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\thandler.report(attr.value, function(title, blurb) {\n\t\t\t\tif (blurb) {\n\t\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '=\"' + blurb + '\" />');\n\t\t\t\t} else {\n\t\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + ' />');\n\t\t\t\t}\n\t\t\t}, options);\n\t\t} else if (attr.type === \"indirect\") {\n\t\t\tentry = refHandler.report(attr.textReference, function(title, blurb) {\n\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '={{' + (blurb || '') + '}} />');\n\t\t\t}, options);\n\t\t} else if (attr.type === \"filtered\") {\n\t\t\tentry = filterHandler.report(attr.filter, function(title, blurb) {\n\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '={{{' + blurb + '}}} />');\n\t\t\t}, options);\n\t\t} else if (attr.type === \"macro\") {\n\t\t\tvar macro = attr.value;\n\t\t\tentry = macrocall.reportAttribute(this.parser, macro, function(title, blurb) {\n\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '=' + blurb + ' />');\n\t\t\t}, options);\n\t\t}\n\t\tif (quotedValue === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\t// If this is an import variable filter, we gotta\n\t\t\t// remember this new value when we import lower down.\n\t\t\timportFilterAttr = quotedValue;\n\t\t}\n\t}\n\tif (importFilterAttr) {\n\t\tprocessImportFilter(this.parser, importFilterAttr, options);\n\t}\n\tthis.parse();\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar managedElement = this.parser.context.getAttribute(this.nextTag.tag),\n\t\tbuilder = new Rebuilder(text, this.nextTag.start);\n\tvar importFilterAttr;\n\tvar widgetEntry = {};\n\twidgetEntry.attributes = Object.create(null);\n\twidgetEntry.element = this.nextTag.tag;\n\tfor (var attributeName in this.nextTag.attributes) {\n\t\tvar attr = this.nextTag.attributes[attributeName];\n\t\tvar nextEql = text.indexOf('=', attr.start);\n\t\t// This is the rare case of changing tiddler\n\t\t// \"true\" to something else when \"true\" is\n\t\t// implicit, like <$link to /> We ignore those.\n\t\tif (nextEql < 0 || nextEql > attr.end) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\timportFilterAttr = attr;\n\t\t}\n\t\tvar oldLength, quotedValue = undefined, entry;\n\t\tvar nestedOptions = Object.create(options);\n\t\tnestedOptions.settings = this.parser.context;\n\t\tswitch (attr.type) {\n\t\tcase 'string':\n\t\t\tvar handler = getAttributeHandler(this.parser.context, this.nextTag, attributeName, options);\n\t\t\tif (!handler) {\n\t\t\t\t// We don't manage this attribute. Bye.\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tentry = handler.relink(attr.value, fromTitle, toTitle, nestedOptions);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\tvar quote = utils.determineQuote(text, attr);\n\t\t\t\toldLength = attr.value.length + (quote.length * 2);\n\t\t\t\tquotedValue = utils.wrapAttributeValue(entry.output,quote);\n\t\t\t\tif (quotedValue === undefined) {\n\t\t\t\t\t// The value was unquotable. We need to make\n\t\t\t\t\t// a macro in order to replace it.\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\t// but we can't...\n\t\t\t\t\t\tentry.impossible = true;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar value = options.placeholder.getPlaceholderFor(entry.output,handler.name)\n\t\t\t\t\t\tquotedValue = \"<<\"+value+\">>\";\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'indirect':\n\t\t\tentry = refHandler.relinkInBraces(attr.textReference, fromTitle, toTitle, options);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\t// +4 for '{{' and '}}'\n\t\t\t\toldLength = attr.textReference.length + 4;\n\t\t\t\tquotedValue = \"{{\"+entry.output+\"}}\";\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'filtered':\n\t\t\tentry = filterHandler.relinkInBraces(attr.filter, fromTitle, toTitle, options);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\t// +6 for '{{{' and '}}}'\n\t\t\t\toldLength = attr.filter.length + 6;\n\t\t\t\tquotedValue = \"{{{\"+ entry.output +\"}}}\";\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'macro':\n\t\t\tvar macro = attr.value;\n\t\t\tentry = macrocall.relinkAttribute(this.parser, macro, text, fromTitle, toTitle, options);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\t// already includes '<<' and '>>'\n\t\t\t\toldLength = macro.end-macro.start;\n\t\t\t\tquotedValue = entry.output;\n\t\t\t}\n\t\t}\n\t\tif (entry.impossible) {\n\t\t\twidgetEntry.impossible = true;\n\t\t}\n\t\tif (quotedValue === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\t// If this is an import variable filter, we gotta\n\t\t\t// remember this new value when we import lower down.\n\t\t\timportFilterAttr = quotedValue;\n\t\t}\n\t\t// We count backwards from the end to preserve whitespace\n\t\tvar valueStart = attr.end - oldLength;\n\t\tbuilder.add(quotedValue, valueStart, attr.end);\n\t}\n\tif (importFilterAttr) {\n\t\tprocessImportFilter(this.parser, importFilterAttr, options);\n\t}\n\tvar tag = this.parse()[0];\n\tif (tag.children) {\n\t\tfor (var i = 0; i < tag.children.length; i++) {\n\t\t\tvar child = tag.children[i];\n\t\t\tif (child.output) {\n\t\t\t\tbuilder.add(child.output, child.start, child.end);\n\t\t\t}\n\t\t\tif (child.impossible) {\n\t\t\t\twidgetEntry.impossible = true;\n\t\t\t}\n\t\t}\n\t}\n\tif (builder.changed() || widgetEntry.impossible) {\n\t\twidgetEntry.output = builder.results(this.parser.pos);\n\t\treturn widgetEntry;\n\t}\n\treturn undefined;\n};\n\n/** Returns the field handler for the given attribute of the given widget.\n * If this returns undefined, it means we don't handle it. So skip.\n */\nfunction getAttributeHandler(context, widget, attributeName, options) {\n\tif (widget.tag === \"$macrocall\") {\n\t\tvar nameAttr = widget.attributes[\"$name\"];\n\t\tif (nameAttr) {\n\t\t\tvar macro = context.getMacro(nameAttr.value);\n\t\t\tif (macro) {\n\t\t\t\treturn macro[attributeName];\n\t\t\t}\n\t\t}\n\t} else {\n\t\tvar element = context.getAttribute(widget.tag);\n\t\tif (element) {\n\t\t\treturn element[attributeName];\n\t\t}\n\t}\n\treturn undefined;\n};\n\nfunction computeAttribute(context, attribute, options) {\n\tvar value;\n\tif(attribute.type === \"filtered\") {\n\t\tvar parentWidget = context.widget;\n\t\tvalue = options.wiki.filterTiddlers(attribute.filter,parentWidget)[0] || \"\";\n\t} else if(attribute.type === \"indirect\") {\n\t\tvar parentWidget = context.widget;\n\t\tvalue = options.wiki.getTextReference(attribute.textReference,\"\",parentWidget.variables.currentTiddler.value);\n\t} else if(attribute.type === \"macro\") {\n\t\tvar parentWidget = context.widget;\n\t\tvalue = parentWidget.getVariable(attribute.value.name,{params: attribute.value.params});\n\t} else { // String attribute\n\t\tvalue = attribute.value;\n\t}\n\treturn value;\n};\n\n// This processes a <$importvariables> filter attribute and adds any new\n// variables to our parser.\nfunction processImportFilter(parser, importAttribute, options) {\n\tif (typeof importAttribute === \"string\") {\n\t\t// It was changed. Reparse it. It'll be a quoted\n\t\t// attribute value. Add a dummy attribute name.\n\t\timportAttribute = $tw.utils.parseAttribute(\"p=\"+importAttribute, 0)\n\t}\n\tvar context = parser.context;\n\tvar importFilter = computeAttribute(context, importAttribute, options);\n\tparser.context = new ImportContext(options.wiki, context, importFilter);\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/image.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in wiki text inline rules, like,\n\n[img[tiddler.jpg]]\n\n[img width=23 height=24 [Description|tiddler.jpg]]\n\n\\*/\n\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/utils\").getType('filter');\nvar macrocall = require(\"./macrocall.js\");\nvar utils = require(\"./utils.js\");\n\nexports.name = \"image\";\n\nexports.report = function(text, callback, options) {\n\tvar ptr = this.nextImage.start + 4; //[img\n\tvar inSource = false;\n\tfor (var attributeName in this.nextImage.attributes) {\n\t\tvar attr = this.nextImage.attributes[attributeName];\n\t\tif (attributeName === \"source\" || attributeName === \"tooltip\") {\n\t\t\tif (inSource) {\n\t\t\t\tptr = text.indexOf('|', ptr);\n\t\t\t} else {\n\t\t\t\tptr = text.indexOf('[', ptr);\n\t\t\t\tinSource = true;\n\t\t\t}\n\t\t\tptr += 1;\n\t\t}\n\t\tif (attributeName === \"source\") {\n\t\t\tvar tooltip = this.nextImage.attributes.tooltip;\n\t\t\tvar blurb = '[img[' + (tooltip ? tooltip.value : '') + ']]';\n\t\t\tcallback(attr.value, blurb);\n\t\t\tptr = text.indexOf(attr.value, ptr);\n\t\t\tptr = text.indexOf(']]', ptr) + 2;\n\t\t} else if (attributeName !== \"tooltip\") {\n\t\t\tptr = reportAttribute(this.parser, attr, callback, options);\n\t\t}\n\t}\n\tthis.parser.pos = ptr;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar ptr = this.nextImage.start,\n\t\tbuilder = new Rebuilder(text, ptr),\n\t\tmakeWidget = false,\n\t\tskipSource = false,\n\t\timageEntry;\n\tif (this.nextImage.attributes.source.value === fromTitle && !canBePretty(toTitle, this.nextImage.attributes.tooltip)) {\n\t\tif (this.parser.context.allowWidgets() && (utils.wrapAttributeValue(toTitle) || options.placeholder)) {\n\t\t\tmakeWidget = true;\n\t\t\tbuilder.add(\"<$image\", ptr, ptr+4);\n\t\t} else {\n\t\t\t// We won't be able to make a placeholder to replace\n\t\t\t// the source attribute. We check now so we don't\n\t\t\t// prematurely convert into a widget.\n\t\t\t// Keep going in case other attributes need replacing.\n\t\t\tskipSource = true;\n\t\t}\n\t}\n\tptr += 4; //[img\n\tvar inSource = false;\n\tfor (var attributeName in this.nextImage.attributes) {\n\t\tvar attr = this.nextImage.attributes[attributeName];\n\t\tif (attributeName === \"source\" || attributeName === \"tooltip\") {\n\t\t\tif (inSource) {\n\t\t\t\tptr = text.indexOf('|', ptr);\n\t\t\t} else {\n\t\t\t\tptr = text.indexOf('[', ptr);\n\t\t\t\tinSource = true;\n\t\t\t}\n\t\t\tif (makeWidget) {\n\t\t\t\tif (\" \\t\\n\".indexOf(text[ptr-1]) >= 0) {\n\t\t\t\t\tbuilder.add('', ptr, ptr+1);\n\t\t\t\t} else {\n\t\t\t\t\tbuilder.add(' ', ptr, ptr+1);\n\t\t\t\t}\n\t\t\t}\n\t\t\tptr += 1;\n\t\t}\n\t\tif (attributeName === \"source\") {\n\t\t\tptr = text.indexOf(attr.value, ptr);\n\t\t\tif (attr.value === fromTitle) {\n\t\t\t\tif (makeWidget) {\n\t\t\t\t\tvar quotedValue = utils.wrapAttributeValue(toTitle);\n\t\t\t\t\tif (quotedValue === undefined) {\n\t\t\t\t\t\tvar key = options.placeholder.getPlaceholderFor(toTitle);\n\t\t\t\t\t\tbuilder.add(\"source=<<\"+key+\">>\", ptr, ptr+fromTitle.length);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tbuilder.add(\"source=\"+quotedValue, ptr, ptr+fromTitle.length);\n\t\t\t\t\t}\n\t\t\t\t} else if (!skipSource) {\n\t\t\t\t\tbuilder.add(toTitle, ptr, ptr+fromTitle.length);\n\t\t\t\t} else {\n\t\t\t\t\tbuilder.impossible = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\tptr = text.indexOf(']]', ptr);\n\t\t\tif (makeWidget) {\n\t\t\t\tbuilder.add(\"/>\", ptr, ptr+2);\n\t\t\t}\n\t\t\tptr += 2;\n\t\t} else if (attributeName === \"tooltip\") {\n\t\t\tif (makeWidget) {\n\t\t\t\tptr = text.indexOf(attr.value, ptr);\n\t\t\t\tvar quotedValue = utils.wrapAttributeValue(attr.value);\n\t\t\t\tbuilder.add(\"tooltip=\"+quotedValue, ptr, ptr+attr.value.length);\n\t\t\t}\n\t\t} else {\n\t\t\tptr = relinkAttribute(this.parser, attr, builder, fromTitle, toTitle, options);\n\t\t}\n\t}\n\tthis.parser.pos = ptr;\n\tif (builder.changed() || builder.impossible) {\n\t\timageEntry = {\n\t\t\toutput: builder.results(ptr),\n\t\t\timpossible: builder.impossible };\n\t}\n\treturn imageEntry;\n};\n\nfunction reportAttribute(parser, attribute, callback, options) {\n\tvar text = parser.source;\n\tvar ptr = text.indexOf(attribute.name, attribute.start);\n\tvar end;\n\tptr += attribute.name.length;\n\tptr = text.indexOf('=', ptr);\n\tif (attribute.type === \"string\") {\n\t\tptr = text.indexOf(attribute.value, ptr)\n\t\tvar quote = utils.determineQuote(text, attribute);\n\t\t// ignore first quote. We already passed it\n\t\tend = ptr + quote.length + attribute.value.length;\n\t} else if (attribute.type === \"indirect\") {\n\t\tptr = text.indexOf('{{', ptr);\n\t\tvar end = ptr + attribute.textReference.length + 4;\n\t\trefHandler.report(attribute.textReference, function(title, blurb) {\n\t\t\tcallback(title, '[img ' + attribute.name + '={{' + (blurb || '') + '}}]');\n\t\t}, options);\n\t} else if (attribute.type === \"filtered\") {\n\t\tptr = text.indexOf('{{{', ptr);\n\t\tvar end = ptr + attribute.filter.length + 6;\n\t\tfilterHandler.report(attribute.filter, function(title, blurb) {\n\t\t\tcallback(title, '[img ' + attribute.name + '={{{' + blurb + '}}}]');\n\t\t}, options);\n\t} else if (attribute.type === \"macro\") {\n\t\tptr = text.indexOf(\"<<\", ptr);\n\t\tvar end = attribute.value.end;\n\t\tvar macro = attribute.value;\n\t\toldValue = attribute.value;\n\t\tmacrocall.reportAttribute(parser, macro, function(title, blurb) {\n\t\t\tcallback(title, '[img ' + attribute.name + '=' + blurb + ']');\n\t\t}, options);\n\t}\n\treturn end;\n};\n\nfunction relinkAttribute(parser, attribute, builder, fromTitle, toTitle, options) {\n\tvar text = builder.text;\n\tvar ptr = text.indexOf(attribute.name, attribute.start);\n\tvar end;\n\tptr += attribute.name.length;\n\tptr = text.indexOf('=', ptr);\n\tif (attribute.type === \"string\") {\n\t\tptr = text.indexOf(attribute.value, ptr)\n\t\tvar quote = utils.determineQuote(text, attribute);\n\t\t// ignore first quote. We already passed it\n\t\tend = ptr + quote.length + attribute.value.length;\n\t} else if (attribute.type === \"indirect\") {\n\t\tptr = text.indexOf('{{', ptr);\n\t\tvar end = ptr + attribute.textReference.length + 4;\n\t\tvar ref = refHandler.relinkInBraces(attribute.textReference, fromTitle, toTitle, options);\n\t\tif (ref) {\n\t\t\tif (ref.impossible) {\n\t\t\t\tbuilder.impossible = true;\n\t\t\t}\n\t\t\tif (ref.output) {\n\t\t\t\tbuilder.add(\"{{\"+ref.output+\"}}\", ptr, end);\n\t\t\t}\n\t\t}\n\t} else if (attribute.type === \"filtered\") {\n\t\tptr = text.indexOf('{{{', ptr);\n\t\tvar end = ptr + attribute.filter.length + 6;\n\t\tvar filter = filterHandler.relinkInBraces(attribute.filter, fromTitle, toTitle, options);\n\t\tif (filter !== undefined) {\n\t\t\tif (filter.impossible) {\n\t\t\t\tbuilder.impossible = true;\n\t\t\t}\n\t\t\tif (filter.output) {\n\t\t\t\tvar quoted = \"{{{\"+filter.output+\"}}}\";\n\t\t\t\tbuilder.add(quoted, ptr, end);\n\t\t\t}\n\t\t}\n\t} else if (attribute.type === \"macro\") {\n\t\tptr = text.indexOf(\"<<\", ptr);\n\t\tvar end = attribute.value.end;\n\t\tvar macro = attribute.value;\n\t\toldValue = attribute.value;\n\t\tvar macroEntry = macrocall.relinkAttribute(parser, macro, text, fromTitle, toTitle, options);\n\t\tif (macroEntry !== undefined) {\n\t\t\tif (macroEntry.impossible) {\n\t\t\t\tbuilder.impossible = true;\n\t\t\t}\n\t\t\tif (macroEntry.output) {\n\t\t\t\tbuilder.add(macroEntry.output, ptr, end);\n\t\t\t}\n\t\t}\n\t}\n\treturn end;\n};\n\nfunction canBePretty(title, tooltip) {\n\treturn title.indexOf(']') < 0 && (tooltip || title.indexOf('|') < 0);\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/image.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles import pragmas\n\n\\import [tag[MyTiddler]]\n\\*/\n\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\nvar filterRelinker = utils.getType('filter');\nvar ImportContext = utils.getContext('import');\n\nexports.name = \"import\";\n\nexports.report = function(text, callback, options) {\n\t// This moves the pos for us\n\tvar parseTree = this.parse();\n\tvar filter = parseTree[0].attributes.filter.value || '';\n\tfilterRelinker.report(filter, function(title, blurb) {\n\t\tif (blurb) {\n\t\t\tblurb = '\\\\import ' + blurb;\n\t\t} else {\n\t\t\tblurb = '\\\\import';\n\t\t}\n\t\tcallback(title, blurb);\n\t}, options);\n\t// Before we go, we need to actually import the variables\n\t// it's calling for, and any /relink pragma\n\tthis.parser.context = new ImportContext(options.wiki, this.parser.context, filter);\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\t// In this one case, I'll let the parser parse out the filter and move\n\t// the ptr.\n\tvar start = this.matchRegExp.lastIndex,\n\t\tparseTree = this.parse(),\n\t\tfilter = parseTree[0].attributes.filter.value || '',\n\t\tentry = filterRelinker.relink(filter, fromTitle, toTitle, options);\n\tif (entry !== undefined && entry.output) {\n\t\tvar newline = text.substring(start+filter.length, this.parser.pos);\n\t\tfilter = entry.output;\n\t\tentry.output = \"\\\\import \" + filter + newline;\n\t}\n\n\t// Before we go, we need to actually import the variables\n\t// it's calling for, and any /relink pragma\n\tthis.parser.context = new ImportContext(options.wiki, this.parser.context, filter);\n\n\treturn entry;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles macro calls.\n\n<<myMacro '[[MyFilter]]' 'myTitle'>>\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar EntryNode = require('$:/plugins/flibbles/relink/js/utils/entry');\n\nexports.name = [\"macrocallinline\", \"macrocallblock\"];\n\n// Error thrown when a macro's definition is needed, but can't be found.\nfunction CannotFindMacroDef() {};\nCannotFindMacroDef.prototype.impossible = true;\nCannotFindMacroDef.prototype.name = \"macroparam\";\n// Failed relinks due to missing definitions aren't reported for now.\n// I may want to do something special later on.\nCannotFindMacroDef.prototype.report = function() { return []; };\n\nexports.report = function(text, callback, options) {\n\tvar macroInfo = getInfoFromRule(this);\n\tthis.parser.pos = macroInfo.end;\n\tthis.reportAttribute(this.parser, macroInfo, callback, options);\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar macroInfo = getInfoFromRule(this);\n\tvar managedMacro = this.parser.context.getMacro(macroInfo.name);\n\tthis.parser.pos = macroInfo.end;\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tvar mayBeWidget = this.parser.context.allowWidgets();\n\tvar names = getParamNames(this.parser, macroInfo.name, macroInfo.params, options);\n\tif (names === undefined) {\n\t\t// Needed the definition, and couldn't find it. So if a single\n\t\t// parameter needs to placeholder, just fail.\n\t\tmayBeWidget = false;\n\t}\n\tvar entry = relinkMacroInvocation(this.parser, macroInfo, text, fromTitle, toTitle, mayBeWidget, options);\n\tif (entry && entry.output) {\n\t\tentry.output = macroToString(entry.output, text, names, options);\n\t}\n\treturn entry;\n};\n\n/** Relinks macros that occur as attributes, like <$element attr=<<...>> />\n * Processes the same, except it can't downgrade into a widget if the title\n * is complicated.\n */\nexports.relinkAttribute = function(parser, macro, text, fromTitle, toTitle, options) {\n\tvar entry = relinkMacroInvocation(parser, macro, text, fromTitle, toTitle, false, options);\n\tif (entry && entry.output) {\n\t\tentry.output = macroToStringMacro(entry.output, text, options);\n\t}\n\treturn entry;\n};\n\n/** As in, report a macrocall invocation that is an html attribute. */\nexports.reportAttribute = function(parser, macro, callback, options) {\n\tvar managedMacro = parser.context.getMacro(macro.name);\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tfor (var managedArg in managedMacro) {\n\t\tvar index;\n\t\ttry {\n\t\t\tindex = getParamIndexWithinMacrocall(parser, macro.name, managedArg, macro.params, options);\n\t\t} catch (e) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (index < 0) {\n\t\t\t// The argument was not supplied. Move on to next.\n\t\t\tcontinue;\n\t\t}\n\t\tvar param = macro.params[index];\n\t\tvar handler = managedMacro[managedArg];\n\t\tvar nestedOptions = Object.create(options);\n\t\tnestedOptions.settings = parser.context;\n\t\tvar entry = handler.report(param.value, function(title, blurb) {\n\t\t\tvar rtn = managedArg;\n\t\t\tif (blurb) {\n\t\t\t\trtn += ': \"' + blurb + '\"';\n\t\t\t}\n\t\t\tcallback(title, '<<' + macro.name + ' ' + rtn + '>>');\n\t\t}, nestedOptions);\n\t}\n};\n\n/**Processes the given macro,\n * macro: {name:, params:, start:, end:}\n * each parameters: {name:, end:, value:}\n * Macro invocation returned is the same, but relinked, and may have new keys:\n * parameters: {type: macro, start:, newValue: (quoted replacement value)}\n * Output of the returned entry isn't a string, but a macro object. It needs\n * to be converted.\n */\nfunction relinkMacroInvocation(parser, macro, text, fromTitle, toTitle, mayBeWidget, options) {\n\tvar managedMacro = parser.context.getMacro(macro.name);\n\tvar modified = false;\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tvar outMacro = $tw.utils.extend({}, macro);\n\tvar macroEntry = {};\n\toutMacro.params = macro.params.slice();\n\tfor (var managedArg in managedMacro) {\n\t\tvar index;\n\t\ttry {\n\t\t\tindex = getParamIndexWithinMacrocall(parser, macro.name, managedArg, macro.params, options);\n\t\t} catch (e) {\n\t\t\tif (e instanceof CannotFindMacroDef) {\n\t\t\t\tmacroEntry.impossible = true;\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t}\n\t\tif (index < 0) {\n\t\t\t// this arg either was not supplied, or we can't find\n\t\t\t// the definition, so we can't tie it to an anonymous\n\t\t\t// argument. Either way, move on to the next.\n\t\t\tcontinue;\n\t\t}\n\t\tvar param = macro.params[index];\n\t\tvar handler = managedMacro[managedArg];\n\t\tvar nestedOptions = Object.create(options);\n\t\tnestedOptions.settings = parser.context;\n\t\tvar entry = handler.relink(param.value, fromTitle, toTitle, nestedOptions);\n\t\tif (entry === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\t// Macro parameters can only be string parameters, not\n\t\t// indirect, or macro, or filtered\n\t\tif (entry.impossible) {\n\t\t\tmacroEntry.impossible = true;\n\t\t}\n\t\tif (!entry.output) {\n\t\t\tcontinue;\n\t\t}\n\t\tvar quote = utils.determineQuote(text, param);\n\t\tvar quoted = utils.wrapParameterValue(entry.output, quote);\n\t\tvar newParam = $tw.utils.extend({}, param);\n\t\tif (quoted === undefined) {\n\t\t\tif (!mayBeWidget || !options.placeholder) {\n\t\t\t\tmacroEntry.impossible = true;\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tvar ph = options.placeholder.getPlaceholderFor(entry.output,handler.name);\n\t\t\tnewParam.newValue = \"<<\"+ph+\">>\";\n\t\t\tnewParam.type = \"macro\";\n\t\t} else {\n\t\t\tnewParam.start = newParam.end - (newParam.value.length + (quote.length*2));\n\t\t\tnewParam.value = entry.output;\n\t\t\tnewParam.newValue = quoted;\n\t\t}\n\t\toutMacro.params[index] = newParam;\n\t\tmodified = true;\n\t}\n\tif (modified || macroEntry.impossible) {\n\t\tif (modified) {\n\t\t\tmacroEntry.output = outMacro;\n\t\t}\n\t\treturn macroEntry;\n\t}\n\treturn undefined;\n};\n\nfunction getInfoFromRule(rule) {\n\t// Get all the details of the match\n\tvar macroInfo = rule.nextCall;\n\tif (!macroInfo) {\n\t\t// rule.match is used <v5.1.24\n\t\tvar match = rule.match,\n\t\t\toffset = $tw.utils.skipWhiteSpace(match[0], match[1].length+2);\n\t\tmacroInfo = {\n\t\t\tname: match[1],\n\t\t\tstart: rule.matchRegExp.lastIndex - match[0].length,\n\t\t\tend: rule.matchRegExp.lastIndex,\n\t\t};\n\t\tmacroInfo.params = parseParams(match[2], offset+macroInfo.start);\n\t}\n\treturn macroInfo;\n};\n\nfunction mustBeAWidget(macro) {\n\tfor (var i = 0; i < macro.params.length; i++) {\n\t\tif (macro.params[i].type === \"macro\") {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false\n};\n\n/**Given a macro object ({name:, params:, start: end:}), and the text where\n * it was parsed from, returns a new macro that maintains any syntactic\n * structuring.\n */\nfunction macroToString(macro, text, names, options) {\n\tif (mustBeAWidget(macro)) {\n\t\tvar attrs = [];\n\t\tfor (var i = 0; i < macro.params.length; i++) {\n\t\t\tvar p = macro.params[i];\n\t\t\tvar val;\n\t\t\tif (p.newValue) {\n\t\t\t\tval = p.newValue;\n\t\t\t} else {\n\t\t\t\tval = utils.wrapAttributeValue(p.value);\n\t\t\t}\n\t\t\tattrs.push(\" \"+names[i]+\"=\"+val);\n\t\t}\n\t\treturn \"<$macrocall $name=\"+utils.wrapAttributeValue(macro.name)+attrs.join('')+\"/>\";\n\t} else {\n\t\treturn macroToStringMacro(macro, text, options);\n\t}\n};\n\nfunction macroToStringMacro(macro, text, options) {\n\tvar builder = new Rebuilder(text, macro.start);\n\tfor (var i = 0; i < macro.params.length; i++) {\n\t\tvar param = macro.params[i];\n\t\tif (param.newValue) {\n\t\t\tbuilder.add(param.newValue, param.start, param.end);\n\t\t}\n\t}\n\treturn builder.results(macro.end);\n};\n\n/** Returns -1 if param definitely isn't in macrocall.\n */\nfunction getParamIndexWithinMacrocall(parser, macroName, param, params, options) {\n\tvar index, i, anonsExist = false;\n\tfor (i = 0; i < params.length; i++) {\n\t\tvar name = params[i].name;\n\t\tif (name === param) {\n\t\t\treturn i;\n\t\t}\n\t\tif (name === undefined) {\n\t\t\tanonsExist = true;\n\t\t}\n\t}\n\tif (!anonsExist) {\n\t\t// If no anonymous parameters are present, and we didn't find\n\t\t// it among the named ones, it must not be there.\n\t\treturn -1;\n\t}\n\tvar expectedIndex = indexOfParameterDef(parser, macroName, param, options);\n\t// We've got to skip over all the named parameter instances.\n\tif (expectedIndex >= 0) {\n\t\tvar anonI = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (params[i].name === undefined) {\n\t\t\t\tif (anonI === expectedIndex) {\n\t\t\t\t\treturn i;\n\t\t\t\t}\n\t\t\t\tanonI++;\n\t\t\t} else {\n\t\t\t\tvar indexOfOther = indexOfParameterDef(parser, macroName, params[i].name, options);\n\t\t\t\tif (indexOfOther < expectedIndex) {\n\t\t\t\t\tanonI++;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn -1;\n};\n\n// Looks up the definition of a macro, and figures out what the expected index\n// is for the given parameter.\nfunction indexOfParameterDef(parser, macroName, paramName, options) {\n\tvar def = parser.context.getMacroDefinition(macroName);\n\tif (def === undefined) {\n\t\tthrow new CannotFindMacroDef();\n\t}\n\tvar params = def.params || [];\n\tfor (var i = 0; i < params.length; i++) {\n\t\tif (params[i].name === paramName) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn -1;\n};\n\nfunction getParamNames(parser, macroName, params, options) {\n\tvar used = Object.create(null);\n\tvar rtn = new Array(params.length);\n\tvar anonsExist = false;\n\tvar i;\n\tfor (i = 0; i < params.length; i++) {\n\t\tvar name = params[i].name;\n\t\tif (name) {\n\t\t\trtn[i] = name;\n\t\t\tused[name] = true;\n\t\t} else {\n\t\t\tanonsExist = true;\n\t\t}\n\t}\n\tif (anonsExist) {\n\t\tvar def = parser.context.getMacroDefinition(macroName);\n\t\tif (def === undefined) {\n\t\t\t// If there are anonymous parameters, and we can't\n\t\t\t// find the definition, then we can't hope to create\n\t\t\t// a widget.\n\t\t\treturn undefined;\n\t\t}\n\t\tvar defParams = def.params || [];\n\t\tvar defPtr = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (rtn[i] === undefined) {\n\t\t\t\twhile(defPtr < defParams.length && used[defParams[defPtr].name]) {\n\t\t\t\t\tdefPtr++;\n\t\t\t\t}\n\t\t\t\tif (defPtr >= defParams.length) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\trtn[i] = defParams[defPtr].name;\n\t\t\t\tused[defParams[defPtr].name] = true;\n\t\t\t}\n\t\t}\n\t}\n\treturn rtn;\n};\n\nfunction parseParams(paramString, pos) {\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = { };\n\t\t// We need to find the group match that isn't undefined.\n\t\tfor (var i = 2; i <= 6; i++) {\n\t\t\tif (paramMatch[i] !== undefined) {\n\t\t\t\tparamInfo.value = paramMatch[i];\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\t//paramInfo.start = pos;\n\t\tparamInfo.end = reParam.lastIndex + pos;\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn params;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles pragma macro definitions. Except we only update placeholder macros\nthat we may have previously install.\n\n\\define relink-?() Tough title\n\n\\*/\n\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils\");\nvar VariableContext = utils.getContext('variable');\n\nexports.name = \"macrodef\";\n\nexports.report = function(text, callback, options) {\n\tvar setParseTreeNode = this.parse(),\n\t\tm = this.match,\n\t\tname = m[1];\n\tthis.parser.context = new VariableContext(this.parser.context, setParseTreeNode[0]);\n\t// Parse set the pos pointer, but we don't want to skip the macro body.\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar endMatch = getBodyMatch(text, this.parser.pos, m[3]);\n\tif (endMatch) {\n\t\tvar value = endMatch[2],\n\t\t\thandler = utils.getType(getActiveType(name, m[2]) || 'wikitext');\n\t\tif (handler) {\n\t\t\tvar entry = handler.report(value, function(title, blurb) {\n\t\t\t\tvar macroStr = '\\\\define ' + name + '()';\n\t\t\t\tif (blurb) {\n\t\t\t\t\tmacroStr += ' ' + blurb;\n\t\t\t\t}\n\t\t\t\tcallback(title, macroStr);\n\t\t\t}, options);\n\t\t}\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t}\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar setParseTreeNode = this.parse(),\n\t\tentry,\n\t\tm = this.match,\n\t\tname = m[1],\n\t\tparams = m[2],\n\t\tmultiline = m[3];\n\tthis.parser.context = new VariableContext(this.parser.context, setParseTreeNode[0]);\n\t// Parse set the pos pointer, but we don't want to skip the macro body.\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar endMatch = getBodyMatch(text, this.parser.pos, multiline);\n\tif (endMatch) {\n\t\tvar value = endMatch[2],\n\t\t\ttype = getActiveType(name, params),\n\t\t\thandler = utils.getType(type || 'wikitext');\n\t\tif (handler) {\n\t\t\t// If this is an active relink placeholder, then let's remember it\n\t\t\tif (type && options.placeholder) {\n\t\t\t\toptions.placeholder.registerExisting(name, value);\n\t\t\t}\n\t\t\t// Relink the contents\n\t\t\tentry = handler.relink(value, fromTitle, toTitle, options);\n\t\t\tif (entry && entry.output) {\n\t\t\t\tentry.output = m[0] + endMatch[1] + entry.output + endMatch[0];\n\t\t\t}\n\t\t}\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t}\n\treturn entry;\n};\n\n// Return another match for the body, but tooled uniquely\n// m[1] = whitespace before body\n// m[2] = body\n// m.index + m[0].length -> end of match\nfunction getBodyMatch(text, pos, isMultiline) {\n\tvar whitespace,\n\t\tvalueRegExp;\n\tif (isMultiline) {\n\t\tvalueRegExp = /\\r?\\n\\\\end[^\\S\\n\\r]*(?:\\r?\\n|$)/mg;\n\t\twhitespace = '';\n\t} else {\n\t\tvalueRegExp = /(?:\\r?\\n|$)/mg;\n\t\tvar newPos = $tw.utils.skipWhiteSpace(text, pos);\n\t\twhitespace = text.substring(pos, newPos);\n\t\tpos = newPos;\n\t}\n\tvalueRegExp.lastIndex = pos;\n\tvar match = valueRegExp.exec(text);\n\tif (match) {\n\t\tmatch[1] = whitespace;\n\t\tmatch[2] = text.substring(pos, match.index);\n\t}\n\treturn match;\n};\n\nfunction getActiveType(macroName, parameters) {\n\tvar placeholder = /^relink-(?:(\\w+)-)?\\d+$/.exec(macroName);\n\t// normal macro or special placeholder?\n\tif (placeholder && parameters === '') {\n\t\treturn placeholder[1] || 'title';\n\t}\n\treturn undefined;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in wiki text inline rules, like,\n\n[[Introduction]]\n\n[[link description|TiddlerTitle]]\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.name = \"prettylink\";\n\nexports.report = function(text, callback, options) {\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif (!$tw.utils.isLinkExternal(link)) {\n\t\tcallback(link, '[[' + text + ']]');\n\t}\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar caption, m = this.match;\n\tif (m[2] === fromTitle) {\n\t\t// format is [[caption|MyTiddler]]\n\t\tcaption = m[1];\n\t} else if (m[2] !== undefined || m[1] !== fromTitle) {\n\t\t// format is [[MyTiddler]], and it doesn't match\n\t\treturn undefined;\n\t}\n\tvar entry = { output: utils.makePrettylink(this.parser, toTitle, caption) };\n\tif (entry.output === undefined) {\n\t\tentry.impossible = true;\n\t}\n\treturn entry;\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/relink.js": {
"text": "/*\\\nmodule-type: wikirule\n\nThis defines the \\relink inline pragma used to locally declare\nrelink rules for macros.\n\nIt takes care of providing its own relink and report rules.\n\n\\*/\n\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nexports.name = \"relink\";\nexports.types = {pragma: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /^\\\\relink[^\\S\\n]+([^(\\s]+)([^\\r\\n]*)(\\r?\\n)?/mg;\n};\n\n/**This makes the widget that the macro library will later parse to determine\n * new macro relink state.\n *\n * It's a <$set> widget so it can appear BEFORE \\define pragma and not\n * prevent that pragma from being scooped up by importvariables.\n * (importvariables stops scooping as soon as it sees something besides $set) */\nexports.parse = function() {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar macroName;\n\tvar macroParams = Object.create(null);\n\tvar error = undefined;\n\tvar rtn = [];\n\tvar self = this;\n\tthis.interpretSettings(function(macro, parameter, type) {\n\t\tmacroName = macro;\n\t\tif (type && !utils.getType(type)) {\n\t\t\terror = language.getString(\"Error/UnrecognizedType\",\n\t\t\t\t{variables: {type: type}, wiki: self.parser.wiki});\n\t\t}\n\t\tmacroParams[parameter] = type;\n\t});\n\t// If no macroname. Return nothing, this rule will be ignored by parsers\n\tif (macroName) {\n\t\tvar relink = Object.create(null);\n\t\trelink[macroName] = macroParams;\n\t\trtn.push({\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: \"\"}\n\t\t\t},\n\t\t\tchildren: [],\n\t\t\tisMacroDefinition: true,\n\t\t\trelink: relink});\n\t}\n\tif (error) {\n\t\trtn.push({\n\t\t\ttype: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tc-error tc-relink-error\"\n\t\t\t\t}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: error}\n\t\t\t]});\n\t}\n\treturn rtn;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar parser = this.parser;\n\tvar currentTiddler = parser.context.widget.variables.currentTiddler.value;\n\tparser.pos = this.matchRegExp.lastIndex;\n\tthis.interpretSettings(function(macro, parameter, type) {\n\t\toptions.settings.addSetting(parser.wiki, macro, parameter, type, currentTiddler);\n\t});\n\t// Return nothing, because this rule is ignored by the parser\n\treturn undefined;\n};\n\nexports.interpretSettings = function(block) {\n\tvar paramString = this.match[2];\n\tif (paramString !== \"\") {\n\t\tvar macro = this.match[1];\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*([^\\s]+))?/mg;\n\t\tvar paramMatch = reParam.exec(paramString);\n\t\twhile (paramMatch) {\n\t\t\tvar parameter = paramMatch[1];\n\t\t\tvar type = paramMatch[2];\n\t\t\tblock(macro, parameter, type);\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n};\n",
"module-type": "wikirule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/relink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nParses and acknowledges any pragma rules a tiddler has.\n\n\\rules except html wikilink\n\n\\*/\n\nexports.name = \"rules\";\n\n/**This is all we have to do. The rules rule doesn't parse. It just amends\n * the rules, which is exactly what I want it to do too.\n * It also takes care of moving the pos pointer forward.\n */\nexports.relink = function() {\n\tthis.parse();\n\treturn undefined;\n};\n\n// Same deal\nexports.report = exports.relink;\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/syslink.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles sys links\n\n$:/sys/link\n\nbut not:\n\n~$:/sys/link\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.name = \"syslink\";\n\nexports.report = function(text, callback, options) {\n\tvar title = this.match[0];\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (title[0] !== \"~\") {\n\t\tcallback(title, '~' + title);\n\t}\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar entry = undefined;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (this.match[0] === fromTitle && this.match[0][0] !== \"~\") {\n\t\tentry = {output: this.makeSyslink(toTitle, options)};\n\t\tif (entry.output === undefined) {\n\t\t\tentry.impossible = true;\n\t\t}\n\t}\n\treturn entry;\n};\n\nexports.makeSyslink = function(title, options) {\n\tvar match = title.match(this.matchRegExp);\n\tif (match && match[0] === title && title[0] !== \"~\") {\n\t\treturn title;\n\t} else {\n\t\treturn utils.makePrettylink(this.parser, title);\n\t}\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/syslink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of transclusions in wiki text like,\n\n{{RenamedTiddler}}\n{{RenamedTiddler||TemplateTitle}}\n\nThis renames both the tiddler and the template field.\n\n\\*/\n\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar utils = require(\"./utils.js\");\n\nexports.name = ['transcludeinline', 'transcludeblock'];\n\nexports.report = function(text, callback, options) {\n\tvar m = this.match,\n\t\trefString = $tw.utils.trim(m[1]),\n\t\tref = parseTextReference(refString);\n\t\ttemplate = $tw.utils.trim(m[2]);\n\tif (ref.title) {\n\t\tvar suffix = '';\n\t\tif (ref.index) {\n\t\t\tsuffix = '##' + ref.index;\n\t\t} else if (ref.field) {\n\t\t\tsuffix = '!!' + ref.field;\n\t\t}\n\t\tif (template) {\n\t\t\tsuffix = suffix + '||' + template;\n\t\t}\n\t\tcallback(ref.title, '{{' + suffix + '}}')\n\t}\n\tif (template) {\n\t\tcallback(template, '{{' + refString + '||}}');\n\t}\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar m = this.match,\n\t\treference = parseTextReference(m[1]),\n\t\ttemplate = m[2],\n\t\tentry = undefined,\n\t\tmodified = false;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif ($tw.utils.trim(reference.title) === fromTitle) {\n\t\t// preserve user's whitespace\n\t\treference.title = reference.title.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tif (modified) {\n\t\tvar output = this.makeTransclude(this.parser, reference, template);\n\t\tif (output) {\n\t\t\t// Adding any newline that might have existed is\n\t\t\t// what allows this relink method to work for both\n\t\t\t// the block and inline filter wikitext rule.\n\t\t\tentry = {output: output + utils.getEndingNewline(m[0])};\n\t\t} else {\n\t\t\tentry = {impossible: true}\n\t\t}\n\t}\n\treturn entry;\n};\n\n// I have my own because the core one is deficient for my needs.\nfunction parseTextReference(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /^([\\w\\W]*?)(?:!!(\\S[\\w\\W]*)|##(\\S[\\w\\W]*))?$/g;\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match) {\n\t\t// Return the parts\n\t\tresult.title = match[1];\n\t\tresult.field = match[2];\n\t\tresult.index = match[3];\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/** This converts a reference and a template into a string representation\n * of a transclude.\n */\nexports.makeTransclude = function(parser, reference, template) {\n\tvar rtn;\n\tif (!canBePrettyTemplate(template)) {\n\t\tvar widget = utils.makeWidget(parser, '$transclude', {\n\t\t\ttiddler: $tw.utils.trim(template),\n\t\t\tfield: reference.field,\n\t\t\tindex: reference.index});\n\t\tif (reference.title && widget !== undefined) {\n\t\t\trtn = utils.makeWidget(parser, '$tiddler', {tiddler: $tw.utils.trim(reference.title)}, widget);\n\t\t} else {\n\t\t\trtn = widget;\n\t\t}\n\t} else if (!canBePrettyTitle(reference.title)) {\n\t\t// This block and the next account for the 1%...\n\t\tvar reducedRef = {field: reference.field, index: reference.index};\n\t\trtn = utils.makeWidget(parser, '$tiddler', {tiddler: $tw.utils.trim(reference.title)}, prettyTransclude(reducedRef, template));\n\t} else {\n\t\t// This block takes care of 99% of all cases\n\t\trtn = prettyTransclude(reference, template);\n\t}\n\treturn rtn;\n};\n\nfunction canBePrettyTitle(value) {\n\treturn refHandler.canBePretty(value) && canBePrettyTemplate(value);\n};\n\nfunction canBePrettyTemplate(value) {\n\treturn !value || (value.indexOf('}') < 0 && value.indexOf('{') < 0 && value.indexOf('|') < 0);\n};\n\nfunction prettyTransclude(textReference, template) {\n\tif (typeof textReference !== \"string\") {\n\t\ttextReference = refHandler.toString(textReference);\n\t}\n\tif (!textReference) {\n\t\ttextReference = '';\n\t}\n\tif (template !== undefined) {\n\t\treturn \"{{\"+textReference+\"||\"+template+\"}}\";\n\t} else {\n\t\treturn \"{{\"+textReference+\"}}\";\n\t}\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js": {
"text": "/*\\\nmodule-type: library\n\nUtility methods for the wikitext relink rules.\n\n\\*/\n\nexports.makeWidget = function(parser, tag, attributes, body) {\n\tif (!parser.context.allowWidgets()) {\n\t\treturn undefined;\n\t}\n\tvar string = '<' + tag;\n\tfor (var attr in attributes) {\n\t\tvar value = attributes[attr];\n\t\tif (value !== undefined) {\n\t\t\tvar quoted = exports.wrapAttributeValue(value);\n\t\t\tif (!quoted) {\n\t\t\t\tif (!parser.options.placeholder) {\n\t\t\t\t\t// It's not possible to make this widget\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tvar category = getPlaceholderCategory(parser.context, tag, attr);\n\t\t\t\tquoted = '<<' + parser.placeholder.getPlaceholderFor(value, category) + '>>';\n\t\t\t}\n\t\t\tstring += ' ' + attr + '=' + quoted;\n\t\t}\n\t}\n\tif (body !== undefined) {\n\t\tstring += '>' + body + '</' + tag + '>';\n\t} else {\n\t\tstring += '/>';\n\t}\n\treturn string;\n};\n\nfunction getPlaceholderCategory(context, tag, attribute) {\n\tvar element = context.getAttribute(tag);\n\tvar rule = element && element[attribute];\n\t// titles go to relink-\\d\n\t// plaintext goes to relink-plaintext-\\d\n\t// because titles are way more common, also legacy\n\tif (rule === undefined) {\n\t\treturn 'plaintext';\n\t} else {\n\t\trule = rule.fields.text;\n\t\tif (rule === 'title') {\n\t\t\trule = undefined;\n\t\t}\n\t\treturn rule;\n\t}\n};\n\nexports.makePrettylink = function(parser, title, caption) {\n\tvar output;\n\tif (parser.context.allowPrettylinks() && canBePrettylink(title, caption)) {\n\t\tif (caption !== undefined) {\n\t\t\toutput = \"[[\" + caption + \"|\" + title + \"]]\";\n\t\t} else {\n\t\t\toutput = \"[[\" + title + \"]]\";\n\t\t}\n\t} else if (caption !== undefined) {\n\t\tvar safeCaption = sanitizeCaption(parser, caption);\n\t\tif (safeCaption !== undefined) {\n\t\t\toutput = exports.makeWidget(parser, '$link', {to: title}, safeCaption);\n\t\t}\n\t} else if (exports.shorthandPrettylinksSupported(parser.wiki)) {\n\t\toutput = exports.makeWidget(parser, '$link', {to: title});\n\t} else if (parser.context.allowWidgets() && parser.placeholder) {\n\t\t// If we don't have a caption, we must resort to\n\t\t// placeholders anyway to prevent link/caption desync\n\t\t// from later relinks.\n\t\t// It doesn't matter whether the tiddler is quotable.\n\t\tvar ph = parser.placeholder.getPlaceholderFor(title);\n\t\toutput = \"<$link to=<<\"+ph+\">>><$text text=<<\"+ph+\">>/></$link>\";\n\t}\n\treturn output;\n};\n\n/**In version 5.1.20, Tiddlywiki made it so <$link to\"something\" /> would\n * use \"something\" as a caption. This is preferable. However, Relink works\n * going back to 5.1.14, so we need to have different handling for both\n * cases.\n */\nvar _supported;\nexports.shorthandPrettylinksSupported = function(wiki) {\n\tif (_supported === undefined) {\n\t\tvar test = wiki.renderText(\"text/plain\", \"text/vnd.tiddlywiki\", \"<$link to=test/>\");\n\t\t_supported = (test === \"test\");\n\t}\n\treturn _supported;\n};\n\n/**Return true if value can be used inside a prettylink.\n */\nfunction canBePrettylink(value, customCaption) {\n\treturn value.indexOf(\"]]\") < 0 && value[value.length-1] !== ']' && (customCaption !== undefined || value.indexOf('|') < 0);\n};\n\nfunction sanitizeCaption(parser, caption) {\n\tvar plaintext = parser.wiki.renderText(\"text/plain\", \"text/vnd.tiddlywiki\", caption);\n\tif (plaintext === caption && caption.indexOf(\"</$link>\") <= 0) {\n\t\treturn caption;\n\t} else {\n\t\treturn exports.makeWidget(parser, '$text', {text: caption});\n\t}\n};\n\n/**Finds an appropriate quote mark for a given value.\n *\n *Tiddlywiki doesn't have escape characters for attribute values. Instead,\n * we just have to find the type of quotes that'll work for the given title.\n * There exist titles that simply can't be quoted.\n * If it can stick with the preference, it will.\n *\n * return: Returns the wrapped value, or undefined if it's impossible to wrap\n */\nexports.wrapAttributeValue = function(value, preference) {\n\tvar whitelist = [\"\", \"'\", '\"', '\"\"\"'];\n\tvar choices = {\n\t\t\"\": function(v) {return !/([\\/\\s<>\"'=])/.test(v) && v.length > 0; },\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; },\n\t\t'\"\"\"': function(v) {return v.indexOf('\"\"\"') < 0 && v[v.length-1] != '\"';}\n\t};\n\tif (choices[preference] && choices[preference](value)) {\n\t\treturn wrap(value, preference);\n\t}\n\tfor (var i = 0; i < whitelist.length; i++) {\n\t\tvar quote = whitelist[i];\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrap(value, quote);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n};\n\n/**Like wrapAttribute value, except for macro parameters, not attributes.\n *\n * These are more permissive. Allows brackets,\n * and slashes and '<' in unquoted values.\n */\nexports.wrapParameterValue = function(value, preference) {\n\tvar whitelist = [\"\", \"'\", '\"', '[[', '\"\"\"'];\n\tvar choices = {\n\t\t\"\": function(v) {return !/([\\s>\"'=])/.test(v); },\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; },\n\t\t\"[[\": canBePrettyOperand,\n\t\t'\"\"\"': function(v) {return v.indexOf('\"\"\"') < 0 && v[v.length-1] != '\"';}\n\t};\n\tif (choices[preference] && choices[preference](value)) {\n\t\treturn wrap(value, preference);\n\t}\n\tfor (var i = 0; i < whitelist.length; i++) {\n\t\tvar quote = whitelist[i];\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrap(value, quote);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n};\n\nfunction wrap(value, wrapper) {\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; },\n\t\t'\"\"\"': function(v) {return '\"\"\"'+v+'\"\"\"'; },\n\t\t\"[[\": function(v) {return \"[[\"+v+\"]]\"; }\n\t};\n\tvar chosen = wrappers[wrapper];\n\tif (chosen) {\n\t\treturn chosen(value);\n\t} else {\n\t\treturn undefined;\n\t}\n};\n\nfunction canBePrettyOperand(value) {\n\treturn value.indexOf(']') < 0;\n};\n\n/**Given some text, and a param or attribute within that text, this returns\n * what type of quotation that attribute is using.\n *\n * param: An object in the form {end:, ...}\n */\nexports.determineQuote = function(text, param) {\n\tvar pos = param.end-1;\n\tif (text[pos] === \"'\") {\n\t\treturn \"'\";\n\t}\n\tif (text[pos] === '\"') {\n\t\tif (text.substr(pos-2, 3) === '\"\"\"') {\n\t\t\treturn '\"\"\"';\n\t\t} else {\n\t\t\treturn '\"';\n\t\t}\n\t}\n\tif (text.substr(pos-1,2) === ']]' && text.substr((pos-param.value.length)-3, 2) === '[[') {\n\t\treturn \"[[\";\n\t}\n\treturn '';\n};\n\n// Finds the newline at the end of a string and returns it. Empty string if\n// none exists.\nexports.getEndingNewline = function(string) {\n\tvar l = string.length;\n\tif (string[l-1] === '\\n') {\n\t\treturn (string[l-2] === '\\r') ? \"\\r\\n\" : \"\\n\";\n\t}\n\treturn \"\";\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js": {
"text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles CamelCase links\n\nWikiLink\n\nbut not:\n\n~WikiLink\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.name = \"wikilink\";\n\nexports.report = function(text, callback, options) {\n\tvar title = this.match[0],\n\t\tunlink = $tw.config.textPrimitives.unWikiLink;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (title[0] !== unlink) {\n\t\tcallback(title, unlink + title);\n\t}\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar entry = undefined,\n\t\ttitle = this.match[0];\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (title === fromTitle && title[0] !== $tw.config.textPrimitives.unWikiLink) {\n\t\tentry = { output: this.makeWikilink(toTitle, options) };\n\t\tif (entry.output === undefined) {\n\t\t\tentry.impossible = true;\n\t\t}\n\t}\n\treturn entry;\n};\n\nexports.makeWikilink = function(title, options) {\n\tif (title.match(this.matchRegExp) && title[0] !== $tw.config.textPrimitives.unWikiLink) {\n\t\treturn title;\n\t} else {\n\t\treturn utils.makePrettylink(this.parser, title);\n\t}\n};\n",
"module-type": "relinkwikitextrule",
"title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/contexts/context.js": {
"text": "/*\\\n\nBase class for relink contexts.\n\n\\*/\n\nfunction Context() {\n};\n\nexports.context = Context;\n\n// This class does no special handling of fields, operators, or attributes.\n// we pass it along to the parent.\nContext.prototype.getFields = function() {\n\treturn this.parent.getFields();\n};\n\nContext.prototype.getOperator = function(name, index) {\n\treturn this.parent.getOperator(name, index);\n};\n\nContext.prototype.getOperators = function() {\n\treturn this.parent.getOperators();\n};\n\nContext.prototype.getAttribute = function(elementName) {\n\treturn this.parent.getAttribute(elementName);\n};\n\nContext.prototype.getAttributes = function() {\n\treturn this.parent.getAttributes();\n};\n\nContext.prototype.getMacro = function(macroName) {\n\treturn this.parent.getMacro(macroName);\n};\n\nContext.prototype.getMacros = function() {\n\treturn this.parent.getMacros();\n};\n\nContext.prototype.allowPrettylinks = function() {\n\treturn this.parent.allowPrettylinks();\n};\n\nContext.prototype.allowWidgets = function() {\n\treturn this.parent.allowWidgets();\n};\n\nContext.prototype.hasImports = function(value) {\n\treturn this.parent.hasImports(value);\n};\n",
"module-type": "relinkcontext",
"title": "$:/plugins/flibbles/relink/js/contexts/context.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/contexts/import.js": {
"text": "/*\\\n\nThis handles the fetching and distribution of relink settings.\n\n\\*/\n\nvar WidgetContext = require('./widget').widget;\n\nfunction ImportContext(wiki, parent, filter) {\n\tthis.parent = parent;\n\tthis.wiki = wiki;\n\tvar importWidget = createImportWidget(filter, this.wiki, this.parent.widget);\n\tthis._compileList(importWidget.tiddlerList);\n\t// This only works if only one filter is imported\n\tthis.widget = this.getBottom(importWidget);\n\t// Trickle this up, so that any containing tiddlercontext knows that this\n\t// tiddler does some importing, and must be checked regularly.\n\tparent.hasImports(true);\n};\n\nexports.import = ImportContext;\n\nImportContext.prototype = new WidgetContext();\n\nImportContext.prototype.changed = function(changes) {\n\treturn this.widget && this.widget.refresh(changes)\n};\n\nfunction createImportWidget(filter, wiki, parent) {\n\tvar widget = wiki.makeWidget( { tree: [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\t\"filter\": {\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: filter\n\t\t\t}\n\t\t}\n\t}] }, { parentWidget: parent} );\n\tif (parent) {\n\t\tparent.children.push(widget);\n\t}\n\twidget.execute();\n\twidget.renderChildren();\n\tvar importWidget = widget.children[0];\n\treturn importWidget;\n};\n\nImportContext.prototype._compileList = function(titleList) {\n\tfor (var i = 0; i < titleList.length; i++) {\n\t\tvar parser = this.wiki.parseTiddler(titleList[i]);\n\t\tif (parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile (parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tif (parseTreeNode.relink) {\n\t\t\t\t\tfor (var macroName in parseTreeNode.relink) {\n\t\t\t\t\t\tvar parameters = parseTreeNode.relink[macroName];\n\t\t\t\t\t\tfor (paramName in parameters) {\n\t\t\t\t\t\t\tthis.addSetting(this.wiki, macroName, paramName, parameters[paramName], titleList[i]);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t}\n\t}\n};\n",
"module-type": "relinkcontext",
"title": "$:/plugins/flibbles/relink/js/contexts/import.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/contexts/tiddler.js": {
"text": "/*\\\n\nContext for a tiddler. Defines nothing but makes an entry point to test if\na tiddler must be refreshed.\n\n\\*/\n\nvar WidgetContext = require('./widget.js').widget;\n\nfunction TiddlerContext(wiki, parentContext, title) {\n\tthis.title = title;\n\tthis.parent = parentContext;\n\tvar globalWidget = parentContext && parentContext.widget;\n\tvar parentWidget = wiki.makeWidget(null, {parentWidget: globalWidget});\n\tparentWidget.setVariable('currentTiddler', title);\n\tthis.widget = wiki.makeWidget(null, {parentWidget: parentWidget});\n};\n\nexports.tiddler = TiddlerContext;\n\nTiddlerContext.prototype = new WidgetContext();\n\nTiddlerContext.prototype.changed = function(changes) {\n\treturn this.widget && this.widget.refresh(changes);\n};\n\n// By default, a tiddler context does not use imports, unless an import\n// statement is later discovered somewhere in the fields.\nTiddlerContext.prototype.hasImports = function(value) {\n\treturn this._hasImports || (this._hasImports = value);\n};\n",
"module-type": "relinkcontext",
"title": "$:/plugins/flibbles/relink/js/contexts/tiddler.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/contexts/variable.js": {
"text": "/*\\\n\nThis handles the context for variables. Either from $set, $vars, or \\define\n\n\\*/\n\nvar WidgetContext = require('./widget').widget;\n\nfunction VariableContext(parent, setParseTreeNode) {\n\tthis.parent = parent;\n\t// Now create a new widget and attach it.\n\tvar attachPoint = parent.widget;\n\tvar setWidget = attachPoint.makeChildWidget(setParseTreeNode);\n\tattachPoint.children.push(setWidget);\n\tsetWidget.computeAttributes();\n\tsetWidget.execute();\n\t// point our widget to bottom, where any other contexts would attach to\n\tthis.widget = this.getBottom(setWidget);\n};\n\nexports.variable = VariableContext;\n\nVariableContext.prototype = new WidgetContext();\n",
"module-type": "relinkcontext",
"title": "$:/plugins/flibbles/relink/js/contexts/variable.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/contexts/whitelist.js": {
"text": "/*\\\n\nThis top-level context manages settings inside the whitelist. It never has\na parent.\n\n\\*/\n\nvar utils = require('../utils');\nvar Context = require('./context').context;\n\nvar prefix = \"$:/config/flibbles/relink/\";\n\nfunction WhitelistContext(wiki) {\n\tbuild(this, wiki);\n};\n\nexports.whitelist = WhitelistContext;\n\nWhitelistContext.prototype = new Context();\n\n/**Hot directories are directories for which if anything changes inside them,\n * then Relink must completely rebuild its index.\n * By default, this includes the whitelist settings, but relink-titles also\n * includes its rules disabling directory.\n * This is the FIRST solution I came up with to this problem. If you're\n * looking at this, please make a github issue so I have a chance to understand\n * your needs. This is currently a HACK solution.\n */\nWhitelistContext.hotDirectories = [prefix];\n\nWhitelistContext.prototype.getAttribute = function(elementName) {\n\treturn this.attributes[elementName];\n};\n\nWhitelistContext.prototype.getAttributes = function() {\n\treturn flatten(this.attributes);\n};\n\nWhitelistContext.prototype.getFields = function() {\n\treturn this.fields;\n};\n\nWhitelistContext.prototype.getOperator = function(operatorName, operandIndex) {\n\tvar op = this.operators[operatorName];\n\treturn op && op[operandIndex || 1];\n};\n\nWhitelistContext.prototype.getOperators = function() {\n\tvar signatures = Object.create(null);\n\tfor (var op in this.operators) {\n\t\tvar operandSet = this.operators[op];\n\t\tfor (var index in operandSet) {\n\t\t\tvar entry = operandSet[index];\n\t\t\tsignatures[entry.key] = entry;\n\t\t}\n\t}\n\treturn signatures;\n};\n\nWhitelistContext.prototype.getMacro = function(macroName) {\n\treturn this.macros[macroName];\n};\n\nWhitelistContext.prototype.getMacros = function() {\n\treturn flatten(this.macros);\n};\n\nWhitelistContext.prototype.changed = function(changedTiddlers) {\n\tfor (var i = 0; i < WhitelistContext.hotDirectories.length; i++) {\n\t\tvar dir = WhitelistContext.hotDirectories[i];\n\t\tfor (var title in changedTiddlers) {\n\t\t\tif (title.substr(0, dir.length) === dir) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nWhitelistContext.prototype.hasImports = function(value) {\n\t// We don't care if imports are used. This is the global level.\n\treturn false;\n};\n\n/**Factories define methods that create settings given config tiddlers.\n * for factory method 'example', it will be called once for each:\n * \"$:/config/flibbles/relink/example/...\" tiddler that exists.\n * the argument \"key\" will be set to the contents of \"...\"\n *\n * The reason I build relink settings in this convoluted way is to minimize\n * the number of times tiddlywiki has to run through EVERY tiddler looking\n * for relink config tiddlers.\n *\n * Also, by exporting \"factories\", anyone who extends relink can patch in\n * their own factory methods to create settings that are generated exactly\n * once per rename.\n */\nvar factories = {\n\tattributes: function(attributes, data, key) {\n\t\tvar elem = root(key);\n\t\tvar attr = key.substr(elem.length+1);\n\t\tattributes[elem] = attributes[elem] || Object.create(null);\n\t\tattributes[elem][attr] = data;\n\t},\n\tfields: function(fields, data, name) {\n\t\tfields[name] = data;\n\t},\n\tmacros: function(macros, data, key) {\n\t\t// We take the last index, not the first, because macro\n\t\t// parameters can't have slashes, but macroNames can.\n\t\tvar name = dir(key);\n\t\tvar arg = key.substr(name.length+1);\n\t\tmacros[name] = macros[name] || Object.create(null);\n\t\tmacros[name][arg] = data;\n\t},\n\toperators: function(operators, data, key) {\n\t\t// We take the last index, not the first, because the operator\n\t\t// may have a slash to indicate parameter number\n\t\tvar pair = key.split('/');\n\t\tvar name = pair[0];\n\t\tdata.key = key;\n\t\toperators[name] = operators[name] || Object.create(null);\n\t\toperators[name][pair[1] || 1] = data;\n\t}\n};\n\nfunction build(settings, wiki) {\n\tfor (var name in factories) {\n\t\tsettings[name] = Object.create(null);\n\t}\n\twiki.eachShadowPlusTiddlers(function(tiddler, title) {\n\t\tif (title.substr(0, prefix.length) === prefix) {\n\t\t\tvar remainder = title.substr(prefix.length);\n\t\t\tvar category = root(remainder);\n\t\t\tvar factory = factories[category];\n\t\t\tif (factory) {\n\t\t\t\tvar name = remainder.substr(category.length+1);\n\t\t\t\tvar data = utils.getType(tiddler.fields.text.trim());\n\t\t\t\tif (data) {\n\t\t\t\t\tdata.source = title;\n\t\t\t\t\t// Secret feature. You can access a config tiddler's\n\t\t\t\t\t// fields from inside the fieldtype handler. Cool\n\t\t\t\t\t// tricks can be done with this.\n\t\t\t\t\tdata.fields = tiddler.fields;\n\t\t\t\t\tfactory(settings[category], data, name);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/* Returns first bit of a path. path/to/tiddler -> path\n */\nfunction root(string) {\n\tvar index = string.indexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n};\n\n/* Returns all but the last bit of a path. path/to/tiddler -> path/to\n */\nfunction dir(string) {\n\tvar index = string.lastIndexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n}\n\n/* Turns {dir: {file1: 'value1', file2: 'value2'}}\n * into {dir/file1: 'value1', dir/file2: 'value2'}\n */\nfunction flatten(set) {\n\tvar signatures = Object.create(null);\n\tfor (var outerName in set) {\n\t\tvar setItem = set[outerName];\n\t\tfor (var innerName in setItem) {\n\t\t\tsignatures[outerName + \"/\" + innerName] = setItem[innerName];\n\t\t}\n\t}\n\treturn signatures;\n};\n",
"module-type": "relinkcontext",
"title": "$:/plugins/flibbles/relink/js/contexts/whitelist.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/contexts/widget.js": {
"text": "/*\\\n\nThis is a virtual subclass of context for contexts that exist within widgets\nof a specific tiddler.\n\nAll widget contexts must have a widget member.\n\n\\*/\n\nvar Context = require('./context.js').context;\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nfunction WidgetContext() {};\n\nexports.widget = WidgetContext;\n\nWidgetContext.prototype = new Context();\n\nWidgetContext.prototype.getMacroDefinition = function(variableName) {\n\t// widget.variables is prototyped, so it looks up into all its parents too\n\treturn this.widget.variables[variableName] || $tw.macros[variableName];\n};\n\nWidgetContext.prototype.addSetting = function(wiki, macroName, parameter, type, sourceTitle) {\n\tthis.macros = this.macros || Object.create(null);\n\tvar macro = this.macros[macroName];\n\ttype = type || utils.getDefaultType(wiki);\n\tif (macro === undefined) {\n\t\tmacro = this.macros[macroName] = Object.create(null);\n\t}\n\tvar handler = utils.getType(type);\n\tif (handler) {\n\t\thandler.source = sourceTitle;\n\t\t// We attach the fields of the defining tiddler for the benefit\n\t\t// of any 3rd party field types that want access to them.\n\t\tvar tiddler = wiki.getTiddler(sourceTitle);\n\t\thandler.fields = tiddler.fields;\n\t\tmacro[parameter] = handler;\n\t}\n};\n\nWidgetContext.prototype.getMacros = function() {\n\tvar signatures = this.parent.getMacros();\n\tif (this.macros) {\n\t\tfor (var macroName in this.macros) {\n\t\t\tvar macro = this.macros[macroName];\n\t\t\tfor (var param in macro) {\n\t\t\t\tsignatures[macroName + \"/\" + param] = macro[param];\n\t\t\t}\n\t\t}\n\t}\n\treturn signatures;\n};\n\n/**This does strange handling because it's possible for a macro to have\n * its individual parameters whitelisted in separate places.\n * Don't know WHY someone would do this, but it can happen.\n */\nWidgetContext.prototype.getMacro = function(macroName) {\n\tvar theseSettings = this.macros && this.macros[macroName];\n\tvar parentSettings;\n\tif (this.parent) {\n\t\tparentSettings = this.parent.getMacro(macroName);\n\t}\n\tif (theseSettings && parentSettings) {\n\t\t// gotta merge them without changing either. This is expensive,\n\t\t// but it'll happen rarely.\n\t\tvar rtnSettings = $tw.utils.extend(Object.create(null), theseSettings, parentSettings);\n\t\treturn rtnSettings;\n\t}\n\treturn theseSettings || parentSettings;\n};\n\n/**Returns the deepest descendant of the given widget.\n */\nWidgetContext.prototype.getBottom = function(widget) {\n\twhile (widget.children.length > 0) {\n\t\twidget = widget.children[0];\n\t}\n\treturn widget;\n};\n",
"module-type": "relinkcontext",
"title": "$:/plugins/flibbles/relink/js/contexts/widget.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/contexts/wikitext.js": {
"text": "/*\\\n\nContext for wikitext. It can contain rules about what's allowed in this\ncurrent layer of wikitext.\n\n\\*/\n\nvar WidgetContext = require('./widget.js').widget;\n\nfunction WikitextContext(parentContext) {\n\tthis.parent = parentContext;\n\tthis.widget = parentContext.widget;\n};\n\nexports.wikitext = WikitextContext;\n\nWikitextContext.prototype = new WidgetContext();\n\n// Unless this specific context has rules about it, widgets and prettyLInks are allowed.\nWikitextContext.prototype.allowWidgets = enabled;\nWikitextContext.prototype.allowPrettylinks = enabled;\n\nfunction enabled() { return true; };\n",
"module-type": "relinkcontext",
"title": "$:/plugins/flibbles/relink/js/contexts/wikitext.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/utils/backupIndexer.js": {
"text": "/*\\\nmodule-type: library\n\nThis is a backup indexer Relink uses if the real one is disabled, or we're\n<V5.1.23. It's not nearly as good, but it caches some.\n\n\\*/\n\n\"use strict\";\n\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\nvar TiddlerContext = utils.getContext('tiddler');\n\n// This is the indexer we use if the current wiki doesn't support indexers.\nfunction BackupIndexer(wiki) {\n\tthis.wiki = wiki;\n};\n\nmodule.exports = BackupIndexer;\n\nBackupIndexer.prototype.lookup = function(title) {\n\treturn getCache(this.wiki).lookup[title];\n};\n\nBackupIndexer.prototype.reverseLookup = function(title) {\n\tvar index = getCache(this.wiki);\n\tif (!index.reverse[title]) {\n\t\tvar record = Object.create(null);\n\t\tfor (var other in index.lookup) {\n\t\t\tif (index.lookup[other][title]) {\n\t\t\t\trecord[other] = index.lookup[other][title];\n\t\t\t}\n\t\t}\n\t\tindex.reverse[title] = record;\n\t}\n\treturn index.reverse[title];\n};\n\n/* The backup indexer doesn't bother caching relink reports. It would always\n * be called after a draft tiddler had changed, which would defeat the point.\n */\nBackupIndexer.prototype.relinkLookup = function(fromTitle, toTitle, options) {\n\tvar cache = getCache(this.wiki);\n\tif (cache.lastRelinkFrom === fromTitle && cache.lastRelinkTo === toTitle) {\n\t\toptions.cache = cache.lastRelinkCache;\n\t\treturn cache.lastRelink;\n\t}\n\tcache.lastRelink = utils.getRelinkResults(this.wiki, fromTitle, toTitle, cache.context, undefined, options);\n\tcache.lastRelinkFrom = fromTitle;\n\tcache.lastRelinkTo = toTitle;\n\tcache.lastRelinkCache = options.cache;\n\treturn cache.lastRelink;\n};\n\nfunction getCache(wiki) {\n\treturn wiki.getGlobalCache('relink', function() {\n\t\tvar tiddlerList = wiki.getRelinkableTitles();\n\t\tvar index = Object.create(null);\n\t\tvar wikiContext = utils.getWikiContext(wiki);\n\t\tfor (var i = 0; i < tiddlerList.length; i++) {\n\t\t\tvar title = tiddlerList[i];\n\t\t\tvar tiddler = wiki.getTiddler(title);\n\t\t\tif (tiddler && !tiddler.fields[\"plugin-type\"]) {\n\t\t\t\tvar context = new TiddlerContext(wiki, wikiContext, title);\n\t\t\t\tindex[title] = utils.getTiddlerRelinkReferences(wiki, title, context);\n\t\t\t}\n\t\t}\n\t\treturn {\n\t\t\tlookup: index,\n\t\t\treverse: Object.create(null),\n\t\t\tcontext: wikiContext};\n\t});\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/utils/backupIndexer.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/utils/entry.js": {
"text": "/*\\\n\nEntries are deprecated. Don't use them. These classes are here just so that\nany 3rd party modules built for Relink V1 don't break.\n\nJust return an object like, {output: \"string\", impossible: true|undefined}\n\n\\*/\n\nfunction EntryNode() {\n\tthis.children = [];\n};\n\nmodule.exports = EntryNode;\n\n/** PURE VIRTUAL\n * EntryNode.prototype.report = function() -> [\"string\", ...]\n */\n\nEntryNode.newType = function() {\n\treturn EntryNode;\n};\n\nEntryNode.prototype.add = function(entry) {\n\tthis.children.push(entry);\n};\n\nfunction EntryCollection() {\n\tthis.children = Object.create(null);\n\tthis.types = Object.create(null);\n};\n\nEntryNode.newCollection = function(name) {\n\treturn EntryCollection;\n};\n\n// Again. I reiterate. Don't use this. All this is just legacy support.\nObject.defineProperty(EntryCollection, 'impossible', {\n\tget: function() {\n\t\tvar imp = this._impossible;\n\t\tthis.eachChild(function(child) { imp = imp || child.impossible; });\n\t\treturn imp;\n\t},\n\tset: function(impossible) {\n\t\tthis._impossible = true;\n\t}\n});\n\nEntryCollection.prototype.eachChild = function(method) {\n\tfor (var child in this.children) {\n\t\tmethod(this.children[child]);\n\t}\n};\n\nEntryCollection.prototype.addChild = function(child, name, type) {\n\tthis.children[name] = child;\n\tthis.types[name] = type;\n};\n\nEntryCollection.prototype.hasChildren = function() {\n\treturn Object.keys(this.children).length > 0;\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/utils/entry.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/utils/placeholder.js": {
"text": "/*\\\n\nA method which doles out placeholders when requested, and constructs\nthe necessary supporting pragma when requested.\n\n\\*/\n\nvar utils = require('../utils');\n\nfunction Placeholder() {\n\tthis.placeholders = Object.create(null);\n\tthis.reverseMap = {};\n\tthis.used = Object.create(null);\n};\n\nmodule.exports = Placeholder;\n\nPlaceholder.prototype.getPlaceholderFor = function(value, category) {\n\tthis.reverseMap[category] = this.reverseMap[category] || Object.create(null);\n\tvar placeholder = this.reverseMap[category][value];\n\tif (placeholder) {\n\t\treturn placeholder;\n\t}\n\tvar config = (this.parser && this.parser.context) || utils.getWikiContext(this.parser.wiki);\n\tvar number = 0;\n\tvar prefix = \"relink-\"\n\tif (category && category !== \"title\") {\n\t\t// I don't like \"relink-title-1\". \"relink-1\" should be for\n\t\t// titles. lists, and filters can have descriptors though.\n\t\tprefix += category + \"-\";\n\t}\n\tdo {\n\t\tnumber += 1;\n\t\tplaceholder = prefix + number;\n\t} while (config.getMacroDefinition(placeholder) || this.used[placeholder]);\n\tthis.placeholders[placeholder] = value;\n\tthis.reverseMap[category][value] = placeholder;\n\tthis.used[placeholder] = true;\n\treturn placeholder;\n};\n\n// For registering placeholders that already existed\nPlaceholder.prototype.registerExisting = function(key, value) {\n\tthis.reverseMap[value] = key;\n\tthis.used[key] = true;\n};\n\nPlaceholder.prototype.getPreamble = function() {\n\tvar results = [];\n\tvar keys = Object.keys(this.placeholders);\n\tif (keys.length > 0) {\n\t\tkeys.sort();\n\t\tfor (var i = 0; i < keys.length; i++) {\n\t\t\tvar name = keys[i];\n\t\t\tvar val = this.placeholders[name];\n\t\t\tresults.push(\"\\\\define \"+name+\"() \"+val+\"\\n\");\n\t\t}\n\t}\n\treturn results.join('');\n};\n\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/utils/placeholder.js",
"type": "application/javascript"
},
"$:/plugins/flibbles/relink/js/utils/rebuilder.js": {
"text": "/*\\\n\nThis helper class aids in reconstructing an existing string with new parts.\n\n\\*/\n\nfunction Rebuilder(text, start) {\n\tthis.text = text;\n\tthis.index = start || 0;\n\tthis.pieces = [];\n};\n\nmodule.exports = Rebuilder;\n\n/**Pieces must be added consecutively.\n * Start and end are the indices in the old string specifying where to graft\n * in the new piece.\n */\nRebuilder.prototype.add = function(value, start, end) {\n\tthis.pieces.push(this.text.substring(this.index, start), value);\n\tthis.index = end;\n};\n\nRebuilder.prototype.changed = function() {\n\treturn this.pieces.length > 0;\n};\n\nRebuilder.prototype.results = function(end) {\n\tif (this.changed()) {\n\t\tthis.pieces.push(this.text.substring(this.index, end));\n\t\treturn this.pieces.join('');\n\t}\n\treturn undefined;\n};\n",
"module-type": "library",
"title": "$:/plugins/flibbles/relink/js/utils/rebuilder.js",
"type": "application/javascript"
},
"$:/config/flibbles/relink/attributes/$button/set": {
"title": "$:/config/flibbles/relink/attributes/$button/set",
"text": "reference"
},
"$:/config/flibbles/relink/attributes/$button/setTo": {
"title": "$:/config/flibbles/relink/attributes/$button/setTo",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$button/to": {
"title": "$:/config/flibbles/relink/attributes/$button/to",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$checkbox/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$checkbox/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$checkbox/tag": {
"title": "$:/config/flibbles/relink/attributes/$checkbox/tag",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$count/filter": {
"title": "$:/config/flibbles/relink/attributes/$count/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$draggable/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$draggable/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$draggable/filter": {
"title": "$:/config/flibbles/relink/attributes/$draggable/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$edit-text/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$edit-text/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$edit/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$edit/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$encrypt/filter": {
"title": "$:/config/flibbles/relink/attributes/$encrypt/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$fieldmangler/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$fieldmangler/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$fields/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$fields/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$image/source": {
"title": "$:/config/flibbles/relink/attributes/$image/source",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$importvariables/filter": {
"title": "$:/config/flibbles/relink/attributes/$importvariables/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$linkcatcher/to": {
"title": "$:/config/flibbles/relink/attributes/$linkcatcher/to",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$linkcatcher/set": {
"title": "$:/config/flibbles/relink/attributes/$linkcatcher/set",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$link/to": {
"title": "$:/config/flibbles/relink/attributes/$link/to",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$list/filter": {
"title": "$:/config/flibbles/relink/attributes/$list/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$list/template": {
"title": "$:/config/flibbles/relink/attributes/$list/template",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$list/editTemplate": {
"title": "$:/config/flibbles/relink/attributes/$list/editTemplate",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$list/emptyMessage": {
"title": "$:/config/flibbles/relink/attributes/$list/emptyMessage",
"text": "wikitext"
},
"$:/config/flibbles/relink/attributes/$list/history": {
"title": "$:/config/flibbles/relink/attributes/$list/history",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$navigator/story": {
"title": "$:/config/flibbles/relink/attributes/$navigator/story",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$navigator/history": {
"title": "$:/config/flibbles/relink/attributes/$navigator/history",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$radio/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$radio/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$range/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$range/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$reveal/stateTitle": {
"title": "$:/config/flibbles/relink/attributes/$reveal/stateTitle",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$select/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$select/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$setvariable/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$setvariable/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$setvariable/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$setvariable/subtiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$setvariable/filter": {
"title": "$:/config/flibbles/relink/attributes/$setvariable/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$set/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$set/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$set/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$set/subtiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$set/filter": {
"title": "$:/config/flibbles/relink/attributes/$set/filter",
"text": "filter"
},
"$:/config/flibbles/relink/attributes/$tiddler/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$tiddler/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$transclude/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$transclude/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$transclude/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$transclude/subtiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$view/tiddler": {
"title": "$:/config/flibbles/relink/attributes/$view/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/attributes/$view/subtiddler": {
"title": "$:/config/flibbles/relink/attributes/$view/subtiddler",
"text": "title"
},
"$:/plugins/flibbles/relink/configuration": {
"title": "$:/plugins/flibbles/relink/configuration",
"text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/flibbles/relink/Configuration]!has[draft.of]]\" \"$:/plugins/flibbles/relink/ui/configuration/Fields\">>\n</div>\n"
},
"$:/config/flibbles/relink/fields/caption": {
"title": "$:/config/flibbles/relink/fields/caption",
"text": "wikitext"
},
"$:/config/flibbles/relink/fields/filter": {
"title": "$:/config/flibbles/relink/fields/filter",
"text": "filter"
},
"$:/config/flibbles/relink/fields/list": {
"title": "$:/config/flibbles/relink/fields/list",
"text": "list"
},
"$:/config/flibbles/relink/fields/list-after": {
"title": "$:/config/flibbles/relink/fields/list-after",
"text": "title"
},
"$:/config/flibbles/relink/fields/list-before": {
"title": "$:/config/flibbles/relink/fields/list-before",
"text": "title"
},
"$:/config/flibbles/relink/fields/tags": {
"title": "$:/config/flibbles/relink/fields/tags",
"text": "list"
},
"$:/plugins/flibbles/relink/language/Buttons/Delete/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/Delete/Hint",
"text": "delete"
},
"$:/plugins/flibbles/relink/language/Buttons/LinkToInline/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/LinkToInline/Hint",
"text": "go to defining tiddler"
},
"$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint",
"text": "Specify a new widget/element attribute to be updated whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Buttons/NewField/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Hint",
"text": "Specify a new field to be updated whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewField/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint",
"text": "Specify a new filter operator to be considered whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint",
"text": "Specify a new macro parameter to be updated whenever a tiddler is renamed"
},
"$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption": {
"title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption",
"text": "add"
},
"$:/plugins/flibbles/relink/language/Error/InvalidAttributeName": {
"title": "$:/plugins/flibbles/relink/language/Error/InvalidAttributeName",
"text": "Illegal characters in attribute name \"<$text text=<<attributeName>>/>\". Attributes cannot contain slashes ('/'), closing angle or square brackets ('>' or ']'), quotes or apostrophes ('\"' or \"'\"), equals ('='), or whitespace"
},
"$:/plugins/flibbles/relink/language/Error/InvalidElementName": {
"title": "$:/plugins/flibbles/relink/language/Error/InvalidElementName",
"text": "Illegal characters in element/widget name \"<$text text=<<elementName>>/>\". Element tags can only contain letters and the characters hyphen (`-`) and dollar sign (`$`)"
},
"$:/plugins/flibbles/relink/language/Error/InvalidMacroName": {
"title": "$:/plugins/flibbles/relink/language/Error/InvalidMacroName",
"text": "Illegal characters in macro name \"<$text text=<<macroName>>/>\". Macros cannot contain whitespace"
},
"$:/plugins/flibbles/relink/language/Error/InvalidParameterName": {
"title": "$:/plugins/flibbles/relink/language/Error/InvalidParameterName",
"text": "Illegal characters in parameter name \"<$text text=<<parameterName>>/>\". Parameters can only contain letters, digits, and the characters underscore (`_`) and hyphen (`-`)"
},
"$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator": {
"title": "$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator",
"text": "Filter Error: Unknown suffix for the 'relink' filter operator"
},
"$:/plugins/flibbles/relink/language/Error/ReportFailedRelinks": {
"title": "$:/plugins/flibbles/relink/language/Error/ReportFailedRelinks",
"text": "Relink could not update '<<from>>' to '<<to>>' inside the following tiddlers:"
},
"$:/plugins/flibbles/relink/language/Error/UnrecognizedType": {
"title": "$:/plugins/flibbles/relink/language/Error/UnrecognizedType",
"text": "Relink parse error: Unrecognized field type '<<type>>'"
},
"$:/plugins/flibbles/relink/language/Help/Attributes": {
"title": "$:/plugins/flibbles/relink/language/Help/Attributes",
"text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Attributes]]}}}>Attributes documentation page</a> for details."
},
"$:/plugins/flibbles/relink/language/Help/Fields": {
"title": "$:/plugins/flibbles/relink/language/Help/Fields",
"text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Fields]]}}}>Fields documentation page</a> for details."
},
"$:/plugins/flibbles/relink/language/Help/Macros": {
"title": "$:/plugins/flibbles/relink/language/Help/Macros",
"text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Macros]]}}}>Macros documentation page</a> for details."
},
"$:/plugins/flibbles/relink/language/Help/Operators": {
"title": "$:/plugins/flibbles/relink/language/Help/Operators",
"text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Operators]]}}}>Operators documentation page</a> for details."
},
"$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty": {
"title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty",
"text": "No tiddlers contain any fields, links, macros, transclusions, or widgets referencing this one"
},
"$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description": {
"title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description",
"text": "The following tiddlers contain fields, links, macros, transclusions, or widgets referencing this one:"
},
"$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption": {
"title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption",
"text": "//Relink// References"
},
"$:/plugins/flibbles/relink/language/ui/Attributes/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Attributes/Caption",
"text": "Attributes"
},
"$:/plugins/flibbles/relink/language/ui/Fields/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Fields/Caption",
"text": "Fields"
},
"$:/plugins/flibbles/relink/language/ui/Macros/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Macros/Caption",
"text": "Macros"
},
"$:/plugins/flibbles/relink/language/ui/Operators/Caption": {
"title": "$:/plugins/flibbles/relink/language/ui/Operators/Caption",
"text": "Operators"
},
"$:/plugins/flibbles/relink/license": {
"title": "$:/plugins/flibbles/relink/license",
"type": "text/vnd.tiddlywiki",
"text": "<a href={{$:/plugins/flibbles/relink!!demo}}>Relink Plugin</a> Copyright (c) 2019-<<now YYYY>> Cameron Fischer\n\n[[BSD 3-Clause License|https://raw.githubusercontent.com/flibbles/tw5-relink/master/LICENSE]]\n"
},
"$:/config/flibbles/relink/macros/csvtiddlers/filter": {
"title": "$:/config/flibbles/relink/macros/csvtiddlers/filter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/datauri/title": {
"title": "$:/config/flibbles/relink/macros/datauri/title",
"text": "title"
},
"$:/config/flibbles/relink/macros/jsontiddler/title": {
"title": "$:/config/flibbles/relink/macros/jsontiddler/title",
"text": "title"
},
"$:/config/flibbles/relink/macros/jsontiddlers/filter": {
"title": "$:/config/flibbles/relink/macros/jsontiddlers/filter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/list-links/filter": {
"title": "$:/config/flibbles/relink/macros/list-links/filter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/list-links-draggable/tiddler": {
"title": "$:/config/flibbles/relink/macros/list-links-draggable/tiddler",
"text": "title"
},
"$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate": {
"title": "$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate",
"text": "title"
},
"$:/config/flibbles/relink/macros/list-tagged-draggable/tag": {
"title": "$:/config/flibbles/relink/macros/list-tagged-draggable/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate": {
"title": "$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate",
"text": "title"
},
"$:/config/flibbles/relink/macros/tabs/buttonTemplate": {
"title": "$:/config/flibbles/relink/macros/tabs/buttonTemplate",
"text": "title"
},
"$:/config/flibbles/relink/macros/tabs/default": {
"title": "$:/config/flibbles/relink/macros/tabs/default",
"text": "title"
},
"$:/config/flibbles/relink/macros/tabs/tabsList": {
"title": "$:/config/flibbles/relink/macros/tabs/tabsList",
"text": "filter"
},
"$:/config/flibbles/relink/macros/tabs/template": {
"title": "$:/config/flibbles/relink/macros/tabs/template",
"text": "title"
},
"$:/config/flibbles/relink/macros/tag/tag": {
"title": "$:/config/flibbles/relink/macros/tag/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/tag-pill/tag": {
"title": "$:/config/flibbles/relink/macros/tag-pill/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/timeline/subfilter": {
"title": "$:/config/flibbles/relink/macros/timeline/subfilter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/toc/tag": {
"title": "$:/config/flibbles/relink/macros/toc/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc/itemClassFilter": {
"title": "$:/config/flibbles/relink/macros/toc/itemClassFilter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/toc-expandable/tag": {
"title": "$:/config/flibbles/relink/macros/toc-expandable/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc-expandable/itemClassFilter": {
"title": "$:/config/flibbles/relink/macros/toc-expandable/itemClassFilter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/toc-expandable/exclude": {
"title": "$:/config/flibbles/relink/macros/toc-expandable/exclude",
"text": "list"
},
"$:/config/flibbles/relink/macros/toc-selective-expandable/tag": {
"title": "$:/config/flibbles/relink/macros/toc-selective-expandable/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc-selective-expandable/itemClassFilter": {
"title": "$:/config/flibbles/relink/macros/toc-selective-expandable/itemClassFilter",
"text": "filter"
},
"$:/config/flibbles/relink/macros/toc-selective-expandable/exclude": {
"title": "$:/config/flibbles/relink/macros/toc-selective-expandable/exclude",
"text": "list"
},
"$:/config/flibbles/relink/macros/toc-tabbed-external-nav/tag": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc-tabbed-external-nav/selectedTiddler": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/selectedTiddler",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc-tabbed-external-nav/unselectedText": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/unselectedText",
"text": "wikitext"
},
"$:/config/flibbles/relink/macros/toc-tabbed-external-nav/missingText": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/missingText",
"text": "wikitext"
},
"$:/config/flibbles/relink/macros/toc-tabbed-external-nav/template": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/template",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/tag": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/tag",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/selectedTiddler": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/selectedTiddler",
"text": "title"
},
"$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/unselectedText": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/unselectedText",
"text": "wikitext"
},
"$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/missingText": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/missingText",
"text": "wikitext"
},
"$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/template": {
"title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/template",
"text": "title"
},
"$:/config/flibbles/relink/operators/list": {
"title": "$:/config/flibbles/relink/operators/list",
"text": "reference"
},
"$:/config/flibbles/relink/operators/tag": {
"title": "$:/config/flibbles/relink/operators/tag",
"text": "title"
},
"$:/config/flibbles/relink/operators/title": {
"title": "$:/config/flibbles/relink/operators/title",
"text": "title"
},
"$:/config/flibbles/relink/operators/field:title": {
"title": "$:/config/flibbles/relink/operators/field:title",
"text": "title"
},
"$:/language/EditTemplate/Title/Impossibles/Prompt": {
"title": "$:/language/EditTemplate/Title/Impossibles/Prompt",
"text": "''Warning:'' Not all references in the following tiddlers can be updated by //Relink// due to the complexity of the new title:"
},
"$:/language/EditTemplate/Title/References/Prompt": {
"title": "$:/language/EditTemplate/Title/References/Prompt",
"text": "The following tiddlers will be updated if relinking:"
},
"$:/language/EditTemplate/Title/Relink/Prompt": {
"title": "$:/language/EditTemplate/Title/Relink/Prompt",
"text": "Use //Relink// to update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' across all other tiddlers"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus=\"true\" tabindex={{$:/config/EditTabIndex}}/>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$tiddler tiddler=<<fromTitle>> >\n\n<$list filter=\"[relink:wouldchange<toTitle>limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$set\n\tname=\"prompt\"\n\tfilter=\"[relink:wouldchange<toTitle>relink:impossible<toTitle>]\"\n\tvalue=\"EditTemplate/Title/Impossibles/Prompt\"\n\temptyValue=\"EditTemplate/Title/References/Prompt\" >\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}}\n<$macrocall $name=lingo title=<<prompt>> />\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}}\n<$macrocall $name=lingo title=<<prompt>> />\n</$button>\n</$reveal>\n</$set>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$list variable=\"listItem\" filter=\"[relink:wouldchange<toTitle>!title[$:/StoryList]sort[title]]\" template=\"$:/plugins/flibbles/relink/ui/ListItemTemplate\">\n</$list>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$tiddler>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
},
"$:/config/flibbles/relink/PluginLibrary": {
"title": "$:/config/flibbles/relink/PluginLibrary",
"caption": "//Relink// Library",
"url": "https://flibbles.github.io/tw5-relink/library/index.html",
"tags": "$:/tags/PluginLibrary",
"text": "The //Relink// library contains //Relink// as well as its supplemental plugins. It is maintained by Flibbles. See the [[github page|https://github.com/flibbles/tw5-relink]] for more information.\n"
},
"$:/plugins/flibbles/relink/readme": {
"title": "$:/plugins/flibbles/relink/readme",
"type": "text/vnd.tiddlywiki",
"text": "When renaming a tiddler, Relink can update the fields, filters, and widgets\nof all other tiddlers. However, it works through whitelisting.\n\nIt's already configured to update tiddler titles for all core widgets, filters,\nand fields, but the whitelists can be customized for each of this in the\nconfiguration panel.\n\nSee <a href={{$:/plugins/flibbles/relink!!source}}>the tw5-relink website</a> for more details and examples.\n"
},
"$:/config/flibbles/relink/settings/default-type": {
"title": "$:/config/flibbles/relink/settings/default-type",
"text": "title"
},
"$:/plugins/flibbles/relink/ui/ListItemTemplate": {
"title": "$:/plugins/flibbles/relink/ui/ListItemTemplate",
"text": "<$set\n\tname=\"classes\"\n\tfilter=\"[<listItem>relink:impossible<toTitle>]\"\n\tvalue=\"tc-menu-list-item tc-relink-impossible\"\n\temptyValue=\"tc-menu-list-item\">\n<div class=<<classes>>>\n<$link to=<<listItem>>><$text text=<<listItem>> /></$link>\n</div>\n</$set>\n"
},
"$:/plugins/flibbles/relink/ui/TiddlerInfo/References": {
"title": "$:/plugins/flibbles/relink/ui/TiddlerInfo/References",
"caption": "{{$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption}}",
"tags": "$:/tags/TiddlerInfo",
"text": "\\define lingo-base() $:/plugins/flibbles/relink/language/TiddlerInfo/\n\\define filter() [all[current]relink:backreferences[]!title[$:/StoryList]!prefix[$:/temp/]sort[title]]\n<$list filter=\"[subfilter<filter>first[]]\">\n\n<<lingo References/Description>>\n</$list>\n\n<table class=\"tc-relink-references-table\">\n<tbody>\n<$list filter=<<filter>> emptyMessage=<<lingo References/Empty>> variable=\"listItem\" template=\"$:/plugins/flibbles/relink/ui/TiddlerInfo/ReferencesTemplate\" />\n</tbody>\n</table>\n"
},
"$:/plugins/flibbles/relink/ui/TiddlerInfo/ReferencesTemplate": {
"title": "$:/plugins/flibbles/relink/ui/TiddlerInfo/ReferencesTemplate",
"text": "<tr class=\"tc-relink-references\">\n<td class=\"tc-relink-references-title\">\n<$link to=<<listItem>>/>\n</td>\n<td class=\"tc-relink-references-report\">\n<$list filter=\"[<listItem>relink:report<currentTiddler>]\">\n\n<$text text=<<currentTiddler>> />\n</$list>\n\n</td>\n</tr>\n"
},
"$:/plugins/flibbles/relink/ui/components/button-delete": {
"title": "$:/plugins/flibbles/relink/ui/components/button-delete",
"text": "\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define prefix() $:/config/flibbles/relink/\n\n<$list filter=\"[all[current]prefix<prefix>]\" >\n<$button class=\"tc-btn-invisible\" tooltip={{$:/plugins/flibbles/relink/language/Buttons/Delete/Hint}}><$list filter=\"[all[current]is[tiddler]]\">\n<$action-deletetiddler $tiddler=<<currentTiddler>> />\n</$list><$list filter=\"[all[current]is[shadow]]\">\n<$action-setfield $tiddler=<<tiddlerName>> text=\"\" />\n</$list>\n{{$:/core/images/delete-button}}\n</$button>\n</$list><$list filter=\"[all[current]!prefix<prefix>]\">\n<$link><$button class=\"tc-btn-invisible\" tooltip={{$:/plugins/flibbles/relink/language/Buttons/LinkToInline/Hint}}>{{$:/core/images/link}}</$button></$link>\n</$list>\n"
},
"$:/plugins/flibbles/relink/ui/components/select-fieldtype": {
"title": "$:/plugins/flibbles/relink/ui/components/select-fieldtype",
"text": "\\define prefix() $:/config/flibbles/relink/\n\n<$vars type={{{ [<signature>relink:type[]] }}} >\n<$list filter=\"[all[current]prefix<prefix>]\" >\n<$select tiddler=<<currentTiddler>> >\n<$list variable=\"option\" filter=\"[relink:types[]]\">\n<option><$text text=<<option>> /></option>\n</$list>\n</$select>\n</$list><$list filter=\"[all[current]!prefix<prefix>]\">\n<$text text=<<type>> />\n</$list>\n</$vars>\n"
},
"$:/plugins/flibbles/relink/ui/components/tables": {
"title": "$:/plugins/flibbles/relink/ui/components/tables",
"text": "\\define .make-table(title, plugin, default-table-state:yes)\n\n<$list variable=\"render\" filter=\"[relink:signatures<__plugin__>prefix<__category__>first[]]\">\n<$set name=\"table-state\" value=<<qualify \"\"\"$:/state/flibbles/relink/tables/$title$\"\"\">>>\n<tr><th class=\"tc-relink-header-plugin\" colspan=<<column-count>> >\n<$reveal type=\"nomatch\" state=<<table-state>> text=\"yes\" default=\"\"\"$default-table-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<table-state>> setTo=\"yes\">\n{{$:/core/images/right-arrow}} ''$title$''\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<table-state>> text=\"yes\" default=\"\"\"$default-table-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<table-state>> setTo=\"no\">\n{{$:/core/images/down-arrow}} ''$title$''\n</$button>\n</$reveal>\n</th></tr>\n<$list\n\tvariable=\"signature\"\n\tfilter=\"[relink:signatures<__plugin__>prefix<__category__>sort[]]\">\n<$vars key={{{ [<signature>removeprefix<__category__>removeprefix[/]] }}} >\n<$tiddler tiddler={{{[<signature>relink:source[]]}}} >\n<$reveal tag=\"tr\" type=\"match\" state=<<table-state>> text=\"yes\" default=\"\"\"$default-table-state$\"\"\">\n<$macrocall $name=<<__list-row-macro__>> signature=<<signature>> />\n<td class=\"tc-relink-column-type\">{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td class=\"tc-relink-column-delete\">{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</$reveal>\n</$tiddler>\n</$vars>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define tables(category, list-row-macro, header-list)\n<$vars\n\tcolumn-count={{{[enlist<__header-list__>] [[DeleteColumn]] +[count[]]}}}>\n\n<table class=\"tc-relink-whitelist\"><tbody>\n<tr>\n<$list variable=\"header\" filter=\"[enlist<__header-list__>butlast[]]\"><th><<header>></th></$list>\n<!-- We have the last column extend into the delete/link column, which is unlabeled. -->\n<th colspan=2><$text text={{{ [enlist<__header-list__>last[]] }}} /></th>\n</tr>\n\n<<.make-table Custom \"\" yes>>\n\n<$list\n\tfilter=\"[plugin-type[plugin]![$:/core]![$:/plugins/flibbles/relink]]\">\n<$set name=\"subtitle\" value={{!!description}} emptyValue={{!!title}} >\n<$macrocall $name=\".make-table\" title=<<subtitle>> plugin=<<currentTiddler>> />\n</$set>\n</$list>\n\n<<.make-table Core \"$:/plugins/flibbles/relink\">>\n\n</tbody></table>\n</$vars>\n\\end\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Attributes": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Attributes",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Attributes/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define prefix-attr() $:/config/flibbles/relink/attributes/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define element-name-tiddler() $:/state/flibbles/relink/element-name\n\\define attribute-name-tiddler() $:/state/flibbles/relink/attribute-name\n\n\\define row()\n<$set name=\"element\"\n filter=\"[<key>splitbefore[/]removesuffix[/]]\">\n<$set name=\"attribute\"\n filter=\"[<key>removeprefix<element>removeprefix[/]]\">\n<td><$text text=<<element>> /></td>\n<td><$text text=<<attribute>> /></td>\n</$set></$set>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Attributes}}\n\n<em class=\"tc-edit\">Add a new attribute:</em>\n<$edit-text\n\ttiddler=<<element-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"widget/element\" />\n<$edit-text\n\ttiddler=<<attribute-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"attribute\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<element-name-tiddler>> >\n<$reveal type=\"nomatch\" text=\"\" state=<<attribute-name-tiddler>> >\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewAttribute/Hint}}\n\taria-label={{$(lingo-base)$NewAttribute/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-attribute\"\n\telement={{$(element-name-tiddler)$}}\n\tattribute={{$(attribute-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<attribute-name-tiddler>> />\n<$action-deletetiddler $tiddler=<<element-name-tiddler>> />\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<attribute-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<element-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n</$reveal>\n\n<$macrocall\n\t$name=tables\n\tcategory=\"attributes\"\n\theader-list=\"[[Widget/HTML Element]] Attribute Type\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Fields": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Fields",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Fields/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define field-name-tiddler() $:/state/flibbles/relink/field-name\n\n\\define row()\n<td><$text text=<<key>> /></td>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Fields}}\n\n<em class=\"tc-edit\">Add a new field:</em>\n<$edit-text\n\ttiddler=<<field-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"field name\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<field-name-tiddler>> >\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewField/Hint}}\n\taria-label={{$(lingo-base)$NewField/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-field\"\n\tfield={{$(field-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<field-name-tiddler>> />\n<$text text={{$(lingo-base)$NewField/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<field-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewField/Caption}}/>\n</$button>\n</$reveal>\n\n\n<$macrocall\n\t$name=tables\n\tcategory=\"fields\"\n\theader-list=\"[[Field Name]] [[Field Type]]\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Macros": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Macros",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Macros/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define prefix-macro() $:/config/flibbles/relink/macros/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define macro-name-tiddler() $:/state/flibbles/relink/macro-name\n\\define parameter-name-tiddler() $:/state/flibbles/relink/parameter-name\n\n\\define row()\n<$set name=\"parameter\"\n filter=\"[<key>relink:splitafter[/]]\">\n<$set name=\"macro\"\n filter=\"[<key>removesuffix<parameter>removesuffix[/]]\">\n<td><$text text=<<macro>> /></td>\n<td><$text text=<<parameter>> /></td>\n</$set></$set>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Macros}}\n\n<em class=\"tc-edit\">Add a new macro parameter:</em>\n<$edit-text\n\ttiddler=<<macro-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"macro\" />\n<$edit-text\n\ttiddler=<<parameter-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"parameter\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<macro-name-tiddler>> >\n<$reveal type=\"nomatch\" text=\"\" state=<<parameter-name-tiddler>> >\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewParameter/Hint}}\n\taria-label={{$(lingo-base)$NewParameter/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-parameter\"\n\tmacro={{$(macro-name-tiddler)$}}\n\tparameter={{$(parameter-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<parameter-name-tiddler>> />\n<$action-deletetiddler $tiddler=<<macro-name-tiddler>> />\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<parameter-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<macro-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n</$reveal>\n\n\n<$macrocall\n\t$name=tables\n\tcategory=\"macros\"\n\theader-list=\"Macro Parameter Type\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
},
"$:/plugins/flibbles/relink/ui/configuration/Operators": {
"title": "$:/plugins/flibbles/relink/ui/configuration/Operators",
"caption": "{{$:/plugins/flibbles/relink/language/ui/Operators/Caption}}",
"tags": "$:/tags/flibbles/relink/Configuration",
"text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define operator-name-tiddler() $:/state/flibbles/relink/operator-name\n\n\\define row()\n<td><$text text=<<key>> /></td>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Operators}}\n\n<em class=\"tc-edit\">Add a new filter operator:</em>\n<$edit-text\n\ttiddler=<<operator-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"operator name\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<operator-name-tiddler>>>\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewOperator/Hint}}\n\taria-label={{$(lingo-base)$NewOperator/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-operator\"\n\toperator={{$(operator-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<operator-name-tiddler>> />\n<$text text={{$(lingo-base)$NewOperator/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<operator-name-tiddler>>>\n<$button>\n<$text text={{$(lingo-base)$NewOperator/Caption}}/>\n</$button>\n</$reveal>\n\n<$macrocall\n\t$name=tables\n\tcategory=\"operators\"\n\theader-list=\"[[Filter Operator]] [[Operand Type]]\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
},
"$:/plugins/flibbles/relink/ui/stylesheet.css": {
"title": "$:/plugins/flibbles/relink/ui/stylesheet.css",
"text": ".tc-relink-references {\n}\n\n.tc-relink-references-table {\n\twidth: 100%;\n\tborder: none;\n}\n\n.tc-relink-references-table td {\n\tborder-left: none;\n}\n\n.tc-relink-references-table tr:first-child td {\n\tborder-top: none;\n}\n\n.tc-relink-references-title {\n\ttext-align: left;\n\tvertical-align: top;\n}\n\n.tc-relink-references-occurrence {\n\tfont-style: italic;\n\ttext-align: left;\n\tfont-weight: 200;\n\tpadding-left: 25px;\n\tvertical-align: top;\n}\n\n.tc-relink-header-plugin {\n\ttext-align: left;\n}\n\n.tc-relink-header-plugin button {\n\twidth: 100%\n}\n\n.tc-relink-column-type {\n\twidth: 8em;\n}\n\n.tc-relink-column-type select {\n\twidth: 100%;\n}\n\n.tc-relink-column-delete {\n\tborder-left: none;\n\ttext-align: left;\n}\n\n.tc-relink-column-delete button {\n\tpadding-left: 1em;\n}\n\n.tc-relink-impossible a.tc-tiddlylink {\n\tcolor: red;\n}\n",
"tags": "$:/tags/Stylesheet",
"type": "text/css"
}
}
}
{
"tiddlers": {
"$:/plugins/rmnvsl/krystal/buttons/maximize": {
"title": "$:/plugins/rmnvsl/krystal/buttons/maximize",
"caption": "{{$:/plugins/rmnvsl/krystal/images/maximize-tiddler}} maximize tiddler",
"description": "Make tiddler full-width",
"tags": "$:/tags/ViewToolbar $:/tags/EditToolbar",
"type": "text/vnd.tiddlywiki",
"text": "<$button tooltip=\"Make tiddler full-width\" aria-label=\"maximize tiddler\" class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-maximize\" $param=<<currentTiddler>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/rmnvsl/krystal/images/maximize-tiddler}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">maximize tiddler</span>\n</$list>\n</$button>"
},
"$:/plugins/rmnvsl/krystal/config/close": {
"title": "$:/plugins/rmnvsl/krystal/config/close",
"text": "enable"
},
"$:/plugins/rmnvsl/krystal/config/highlight": {
"title": "$:/plugins/rmnvsl/krystal/config/highlight",
"text": "enable"
},
"$:/plugins/rmnvsl/krystal/config/tiddlerpadding": {
"title": "$:/plugins/rmnvsl/krystal/config/tiddlerpadding",
"text": "42"
},
"$:/plugins/rmnvsl/krystal/config/tiddlerwidth": {
"title": "$:/plugins/rmnvsl/krystal/config/tiddlerwidth",
"text": "600"
},
"$:/plugins/rmnvsl/krystal/header.css": {
"title": "$:/plugins/rmnvsl/krystal/header.css",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.krystal-header {\n background: <<color tiddler-background>>;\n border-bottom: 1px solid <<color page-background>>;\n padding: 1em;\n position: relative;\n z-index: 10;\n text-align: center;\n}\n\n.krystal-header > * {\n margin: 0;\n}\n\n.krystal-header > * + * {\n margin: 0.5em 0 0 0;\n}\n\n.krystal-header > h1 {\n font-size: 1.5rem;\n}\n\n.krystal-header .tc-sidebar-search {\n margin-left: auto;\n}\n\n.krystal-header .tc-sidebar-search > p {\n margin: 0;\n}\n\n@media (min-width: 960px) {\n .krystal-header {\n display: flex;\n flex-wrap: wrap;\n align-items: center;\n text-align: inherit;\n }\n\n .krystal-header > * + * {\n margin: 0 0 0 1em;\n }\n}",
"tags": "$:/tags/Stylesheet"
},
"$:/plugins/rmnvsl/krystal/header": {
"title": "$:/plugins/rmnvsl/krystal/header",
"tags": "$:/tags/PageTemplate",
"list": "$:/core/ui/SideBarSegments/site-title $:/core/ui/SideBarSegments/site-subtitle $:/core/ui/SideBarSegments/page-controls $:/plugins/rmnvsl/krystal/headertools $:/core/ui/SideBarSegments/search",
"list-before": "$:/core/ui/PageTemplate/topleftbar",
"text": "<header class=\"krystal-header\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/plugins/rmnvsl/krystal/header]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</header>"
},
"$:/plugins/rmnvsl/krystal/headertools": {
"title": "$:/plugins/rmnvsl/krystal/headertools",
"tags": "$:/plugins/rmnvsl/krystal/header",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<$button class=\"tc-btn-invisible tc-tiddlylink\" to=<<currentTiddler>>>\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTiddler>> field=\"caption\">\n<$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$button>\n</$list>"
},
"$:/plugins/rmnvsl/krystal/horizontal.js": {
"title": "$:/plugins/rmnvsl/krystal/horizontal.js",
"text": "/*\\\ntitle: $:/plugins/rmnvsl/krystal/horizontal.js\ntype: application/javascript\nmodule-type: storyview\n\nHandles tiddlers position\n\n\\*/\n(function () {\n var easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\n var HorizontalStoryView = function (listWidget) {\n this.listWidget = listWidget;\n };\n\n HorizontalStoryView.prototype.navigateTo = function (historyInfo) {\n const listElementIndex = this.listWidget.findListItem(0, historyInfo.title);\n const lastTiddlerName = this.listWidget.list.slice(-1)[0];\n const currentTiddlerName = historyInfo.title;\n\n if (listElementIndex === undefined) {\n return;\n }\n\n const listItemWidget = this.listWidget.children[listElementIndex];\n const targetElement = listItemWidget.findFirstDomNode();\n\n // Abandon if the list entry isn't a DOM element (it might be a text node)\n if (!(targetElement instanceof Element)) {\n return;\n }\n\n // Scroll the node into view\n this.listWidget.dispatchEvent({\n type: \"tm-scroll\",\n target: targetElement,\n delay: lastTiddlerName === currentTiddlerName,\n });\n };\n\n HorizontalStoryView.prototype.insert = function (widget) {\n const duration = $tw.utils.getAnimationDuration();\n\n if (duration) {\n const targetElement = widget.findFirstDomNode();\n\n // Abandon if the list entry isn't a DOM element (it might be a text node)\n if (!(targetElement instanceof Element)) {\n return;\n }\n\n const currWidth = targetElement.offsetWidth;\n\n setTimeout(() => (targetElement.style.cssText = \"\"), duration);\n\n // Set up the initial position of the element\n $tw.utils.setStyle(targetElement, [\n { transition: \"none\" },\n { transform: \"scale(0.85)\" },\n { opacity: \"0\" },\n { marginLeft: `-${currWidth}px` },\n ]);\n\n $tw.utils.forceLayout(targetElement);\n\n // Transition to the final position\n $tw.utils.setStyle(targetElement, [\n {\n transition: `opacity ${duration}ms ${easing}, margin ${duration}ms ${easing}, transform ${duration}ms ${easing}`,\n },\n { transform: \"scale(1)\" },\n { opacity: \"1\" },\n { marginLeft: \"0\" },\n ]);\n }\n };\n\n HorizontalStoryView.prototype.remove = function (widget) {\n const duration = $tw.utils.getAnimationDuration();\n\n if (duration) {\n const targetElement = widget.findFirstDomNode();\n const removeElement = () => widget.removeChildDomNodes();\n\n // Abandon if the list entry isn't a DOM element (it might be a text node)\n if (!(targetElement instanceof Element)) {\n removeElement();\n return;\n }\n\n const currWidth = targetElement.offsetWidth;\n\n // Remove the dom nodes of the widget at the end of the transition\n setTimeout(removeElement, duration);\n\n // Animate the closure\n $tw.utils.setStyle(targetElement, [\n { transition: \"none\" },\n { transform: \"scale(1)\" },\n { opacity: \"1\" },\n { marginLeft: \"0\" },\n ]);\n\n $tw.utils.forceLayout(targetElement);\n\n $tw.utils.setStyle(targetElement, [\n {\n transition: `opacity ${duration}ms ${easing}, margin ${duration}ms ${easing}, transform ${duration}ms ${easing}`,\n },\n { transform: \"scale(0.85)\" },\n { marginLeft: `-${currWidth}px` },\n { opacity: \"0\" },\n ]);\n } else {\n widget.removeChildDomNodes();\n }\n };\n\n exports.horizontal = HorizontalStoryView;\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/plugins/rmnvsl/krystal/images/maximize-tiddler": {
"title": "$:/plugins/rmnvsl/krystal/images/maximize-tiddler",
"tags": "$:/tags/Image",
"type": "text/vnd.tiddlywiki",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-fixed-height tc-image-button\" viewBox=\"0 0 128 128\" transform=\"rotate(90)\"><path fill-rule=\"evenodd\" d=\"M60 35.657l-9.172 9.171a4 4 0 11-5.656-5.656l16-16a4 4 0 015.656 0l16 16a4 4 0 01-5.656 5.656L68 35.657v57.686l9.172-9.171a4 4 0 115.656 5.656l-16 16a4 4 0 01-5.656 0l-16-16a4 4 0 115.656-5.656L60 93.343V35.657zM16 116h96a4 4 0 100-8H16a4 4 0 100 8zm0-96h96a4 4 0 100-8H16a4 4 0 100 8z\"/></svg>"
},
"$:/plugins/rmnvsl/krystal/plugin.js": {
"title": "$:/plugins/rmnvsl/krystal/plugin.js",
"text": "/*\\\ntitle: $:/plugins/rmnvsl/krystal/plugin.js\ntype: application/javascript\nmodule-type: startup\n\nSets plugin behavior\n\n\\*/\n(function () {\n const STORY_TIDDLER_TITLE = \"$:/StoryList\";\n const ACTIVE_LINK_CLASS = \"krystal-link--active\";\n const MAXIMIZED_TIDDLER_CLASS = \"krystal-tiddler__frame--maximized\";\n\n exports.after = [\"render\"];\n\n exports.startup = function () {\n header();\n\n window.addEventListener(\"resize\", header);\n\n const throttledTiddlerFrameEffects = throttle(tiddlerFrameEffects, 100);\n window.addEventListener(\"scroll\", throttledTiddlerFrameEffects, true);\n\n $tw.rootWidget.addEventListener(\"tm-scroll\", function (event) {\n if (event.type === \"tm-scroll\") {\n scroll(event.target, event.delay);\n }\n });\n\n $tw.rootWidget.addEventListener(\"tm-maximize\", function (event) {\n if (event.type === \"tm-maximize\") {\n tiddlerFullscreen(event.param);\n }\n });\n\n $tw.hooks.addHook(\"th-navigating\", closeTiddlersToRight);\n\n $tw.wiki.addEventListener(\"change\", highlightOpenTiddlerLinks);\n $tw.wiki.addEventListener(\"change\", reinitiateTiddlerFrameEffects);\n };\n\n function highlightOpenTiddlerLinks(changes) {\n if (!$tw.utils.hop(changes, STORY_TIDDLER_TITLE)) {\n return;\n }\n\n const config = $tw.wiki.getTiddler(\n \"$:/plugins/rmnvsl/krystal/config/highlight\"\n );\n\n if (config && config.fields && config.fields.text === \"disable\") {\n return;\n }\n\n const tiddlers = $tw.wiki.getTiddlerList(STORY_TIDDLER_TITLE);\n\n Array.from(\n document.querySelectorAll(`.${ACTIVE_LINK_CLASS}`)\n ).forEach((link) => link.classList.remove(ACTIVE_LINK_CLASS));\n\n tiddlers.forEach((tiddler) => {\n Array.from(\n document.querySelectorAll(\n `.tc-tiddler-body a[href=\"#${encodeURIComponent(tiddler)}\"]`\n )\n ).forEach((link) => link.classList.add(ACTIVE_LINK_CLASS));\n });\n }\n\n function header() {\n const height = document.querySelector(\".krystal-header\").offsetHeight;\n document.documentElement.style.setProperty(\n \"--krystal-header-height\",\n `${height}px`\n );\n }\n\n function scroll(tiddlerElement, delay) {\n const mediaQueryList = window.matchMedia(\"(min-width: 960px)\");\n const duration = $tw.utils.getAnimationDuration();\n\n if (mediaQueryList.matches) {\n var storyRiver = tiddlerElement.parentElement;\n\n var tiddlerPosition = Array.from(\n storyRiver.querySelectorAll(\"div[data-tiddler-title]\")\n ).indexOf(tiddlerElement);\n var tiddlerWidth = tiddlerElement.offsetWidth;\n var windowWidth = window.innerWidth;\n\n var position = windowWidth / 2 - tiddlerWidth / 2;\n var newRiverPosition = Math.max(\n tiddlerPosition * tiddlerWidth - position,\n 0\n );\n\n setTimeout(\n () => storyRiver.scroll({ left: newRiverPosition, behavior: \"smooth\" }),\n delay ? duration : 0\n );\n } else {\n tiddlerElement.scrollIntoView({ behavior: \"smooth\" });\n }\n }\n\n function tiddlerFrameEffects() {\n var tiddlers = Array.from(document.querySelectorAll(\".tc-tiddler-frame\"));\n var tiddlersCount = tiddlers.length;\n\n if (tiddlersCount === 0) {\n return;\n }\n\n var offset = 100;\n var tiddlerPadding = Number(\n window.getComputedStyle(tiddlers[0]).paddingRight.slice(0, -2)\n );\n var tiddlerWidth = tiddlers[0].offsetWidth;\n var windowWidth = window.innerWidth;\n\n tiddlers.forEach(function (tiddler, i) {\n if (i === 0) {\n return;\n }\n\n var tiddlerTitle = tiddler.querySelector(\".krystal-tiddler__title\");\n\n // Edit Template\n if (!tiddlerTitle) {\n return;\n }\n\n var previousTiddler = tiddlers[i - 1];\n var previousTiddlerTitle = previousTiddler.querySelector(\n \".krystal-tiddler__title\"\n );\n\n var x = tiddler.getBoundingClientRect().left;\n\n var start = x < offset + i * tiddlerPadding;\n var end =\n x > windowWidth - (offset + (tiddlersCount - i) * tiddlerPadding);\n\n var startOverlay = x < tiddlerWidth + (i - 1) * tiddlerPadding;\n\n tiddler.classList.toggle(\"krystal-tiddler__frame--overlay\", startOverlay);\n\n if (previousTiddlerTitle) {\n previousTiddlerTitle.classList.toggle(\n \"krystal-tiddler__title--start-active\",\n start\n );\n\n if (!end) {\n previousTiddler.classList.toggle(\n \"krystal-tiddler__frame--hide\",\n start\n );\n }\n }\n\n if (start) {\n tiddlerTitle.classList.remove(\"krystal-tiddler__title--end\");\n }\n\n if (end) {\n tiddler.classList.add(\"krystal-tiddler__frame--overlay\");\n tiddler.classList.add(\"krystal-tiddler__frame--hide\");\n tiddlerTitle.classList.add(\n \"krystal-tiddler__title--end\",\n \"krystal-tiddler__title--end-active\"\n );\n } else {\n if (!startOverlay) {\n tiddler.classList.remove(\"krystal-tiddler__frame--overlay\");\n }\n\n tiddler.classList.remove(\"krystal-tiddler__frame--hide\");\n tiddlerTitle.classList.remove(\"krystal-tiddler__title--end-active\");\n }\n });\n }\n\n function reinitiateTiddlerFrameEffects(changes) {\n if (!$tw.utils.hop(changes, STORY_TIDDLER_TITLE)) {\n return;\n }\n var duration = $tw.utils.getAnimationDuration() || 0;\n setTimeout(tiddlerFrameEffects, duration);\n }\n\n function closeTiddlersToRight(event) {\n const storyTiddler = $tw.wiki.getTiddler(STORY_TIDDLER_TITLE);\n const tiddlers = $tw.wiki.getTiddlerList(STORY_TIDDLER_TITLE);\n\n const navigateFrom = event.navigateFromTitle;\n const navigateTo = event.navigateTo;\n\n const config = $tw.wiki.getTiddler(\n \"$:/plugins/rmnvsl/krystal/config/close\"\n );\n\n if (config && config.fields && config.fields.text === \"disable\") {\n return event;\n }\n\n // Navigating from outside open tiddlers\n if (!navigateFrom) {\n return event;\n }\n\n // Destination tiddler already open\n if (tiddlers.indexOf(navigateTo) === -1) {\n const currentTiddlerIndex = tiddlers.indexOf(navigateFrom);\n const tiddlersToClose = tiddlers.slice(currentTiddlerIndex + 1);\n\n if (tiddlersToClose.length === 0) {\n return event;\n }\n\n const newStoryList = tiddlers.filter(\n (title) => !tiddlersToClose.includes(title)\n );\n\n $tw.wiki.addTiddler(\n new $tw.Tiddler({ title: STORY_TIDDLER_TITLE }, storyTiddler, {\n list: newStoryList,\n })\n );\n }\n\n return event;\n }\n\n function tiddlerFullscreen(tiddlerTitle) {\n const tiddler = document.querySelector(\n `div[data-tiddler-title=\"${tiddlerTitle}\"]`\n );\n\n tiddler.classList.toggle(MAXIMIZED_TIDDLER_CLASS);\n }\n\n // ---\n\n function throttle(callback, limit) {\n var wait = false; // Initially, we're not waiting\n\n return function () {\n // We return a throttled function\n if (!wait) {\n // If we're not waiting\n callback.call(); // Execute users function\n wait = true; // Prevent future invocations\n setTimeout(function () {\n // After a period of time\n wait = false; // And allow future invocations\n }, limit);\n }\n };\n }\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/plugins/rmnvsl/krystal/readme": {
"title": "$:/plugins/rmnvsl/krystal/readme",
"text": "Horizontal story view for tiddlers and bi-directional links.\n\nHomepage: https://github.com/crazko/krystal\n\nMade by [[Roman Veselý|https://romanvesely.com/]] - <span class=\"krystal-icon\">{{$:/core/images/github}}</span> [[@crazko|https://github.com/crazko]], <span class=\"krystal-icon\">{{$:/core/images/twitter}}</span> [[@rmnvsl|https://twitter.com/rmnvsl]]"
},
"$:/plugins/rmnvsl/krystal/references.css": {
"title": "$:/plugins/rmnvsl/krystal/references.css",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.krystal-references {\n background: <<color page-background>>;\n font-size: 0.75em;\n padding: 0.5rem;\n list-style: none;\n margin-top: 3rem;\n margin-bottom: 0;\n \n display: flex;\n flex-wrap: wrap;\n}\n\n.krystal-references__title {\n font-size: 1.25em;\n width: 100%;\n padding: 0.5rem;\n}\n\n.krystal-references__reference {\n width: 50%;\n}\n\n.krystal-references__reference > a {\n color: inherit;\n background: inherit;\n display: block;\n text-decoration: none;\n padding: 0.5rem;\n height: 130px;\n overflow: hidden;\n position: relative;\n transition: all 0.125s ease;\n}\n\n.krystal--static .krystal-references__reference > a {\n height: initial;\n overflow: initial;\n}\n\n.krystal-references__reference > a:hover {\n color: <<color sidebar-tab-foreground>>;\n background: <<color sidebar-tab-background>>;\n text-decoration: none;\n}\n\n.krystal--static .krystal-references__content {\n height: 130px;\n overflow: hidden;\n}\n\n.krystal-references__content a {\n color: inherit !important;\n text-decoration: none !important;\n pointer-events: none;\n}",
"tags": "$:/tags/Stylesheet"
},
"$:/plugins/rmnvsl/krystal/references": {
"title": "$:/plugins/rmnvsl/krystal/references",
"tags": "$:/tags/ViewTemplate",
"text": "<$list filter=\"[!is[system]all[current]backlinks[]sort[title]] -[is[current]] +[limit[1]]\" variable=none>\n<ul class=\"krystal-references\">\n<li class=\"krystal-references__title\"><strong><$transclude tiddler=\"$:/plugins/rmnvsl/krystal/referenceshere\" field=\"text\" mode=\"inline\" /></strong></li>\n<$list filter=\"[!is[system]all[current]backlinks[]sort[title]] -[is[current]]\">\n<li class=\"krystal-references__reference\">\n<$link>\n<b><$view field=\"title\" /></b>\n<div class=\"krystal-references__content\"><$transclude field=\"text\" mode=\"inline\" /></div>\n</$link>\n</li>\n</$list>\n</ul>\n</$list>"
},
"$:/plugins/rmnvsl/krystal/referenceshere": {
"title": "$:/plugins/rmnvsl/krystal/referenceshere",
"text": "Links to this note"
},
"$:/plugins/rmnvsl/krystal/river.css": {
"title": "$:/plugins/rmnvsl/krystal/river.css",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.tc-tiddler-frame {\n border: none;\n border-bottom: 1px solid <<color page-background>>;\n border-radius: 0;\n box-shadow: none;\n margin: 0;\n flex-shrink: 0;\n overflow-y: auto;\n display: flex;\n flex-direction: column;\n position: sticky;\n}\n\n.tc-alerts + p {\n margin: 0;\n}\n\n@media (min-width: 960px) {\n .tc-dropzone {\n height: 100vh;\n display: flex;\n flex-direction: column;\n }\n\n .tc-story-river {\n padding: 0;\n display: flex;\n overflow-y: hidden;\n height: 100%;\n }\n\n .krystal--static .tc-story-river {\n max-height: 100vh;\n }\n\n .tc-tiddler-frame {\n border: none;\n border-right: 1px solid <<color page-background>>;\n padding: var(--tiddler-padding);\n width: var(--tiddler-width);\n }\n\n .tc-tiddler-frame > * {\n transition: opacity 0.25s ease;\n }\n\n .krystal-link--active {\n background: <<color message-background>>;\n }\n\n .krystal-tiddler__frame--hide > *:not(.krystal-tiddler__title) {\n opacity: 0;\n }\n \n .krystal-tiddler__frame--overlay {\n box-shadow: 0 0 1em rgba(0, 0, 0, 0.125);\n }\n\n .krystal-tiddler__frame--maximized {\n left: 0 !important;\n right: 0 !important;\n bottom: 0;\n width: 100%;\n z-index: 5;\n }\n \n .tc-tiddler-frame:nth-of-type(1) { left: calc(0 * var(--tiddler-padding)) }\n .tc-tiddler-frame:nth-of-type(2) { left: calc(1 * var(--tiddler-padding)) }\n .tc-tiddler-frame:nth-of-type(3) { left: calc(2 * var(--tiddler-padding)) }\n .tc-tiddler-frame:nth-of-type(4) { left: calc(3 * var(--tiddler-padding)) }\n .tc-tiddler-frame:nth-of-type(5) { left: calc(4 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(6) { left: calc(5 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(7) { left: calc(6 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(8) { left: calc(7 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(9) { left: calc(8 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(10) { left: calc(9 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(11) { left: calc(10 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(12) { left: calc(11 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(13) { left: calc(12 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(14) { left: calc(13 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(15) { left: calc(14 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(16) { left: calc(15 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(17) { left: calc(16 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(18) { left: calc(17 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(19) { left: calc(18 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-of-type(20) { left: calc(19 * var(--tiddler-padding)); }\n\n .tc-tiddler-frame:nth-last-of-type(1) { right: calc(-1 * var(--tiddler-width) + 1 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(2) { right: calc(-1 * var(--tiddler-width) + 2 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(3) { right: calc(-1 * var(--tiddler-width) + 3 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(4) { right: calc(-1 * var(--tiddler-width) + 4 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(5) { right: calc(-1 * var(--tiddler-width) + 5 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(6) { right: calc(-1 * var(--tiddler-width) + 6 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(7) { right: calc(-1 * var(--tiddler-width) + 7 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(8) { right: calc(-1 * var(--tiddler-width) + 8 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(9) { right: calc(-1 * var(--tiddler-width) + 9 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(10) { right: calc(-1 * var(--tiddler-width) + 10 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(11) { right: calc(-1 * var(--tiddler-width) + 11 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(12) { right: calc(-1 * var(--tiddler-width) + 12 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(13) { right: calc(-1 * var(--tiddler-width) + 13 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(14) { right: calc(-1 * var(--tiddler-width) + 14 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(15) { right: calc(-1 * var(--tiddler-width) + 15 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(16) { right: calc(-1 * var(--tiddler-width) + 16 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(17) { right: calc(-1 * var(--tiddler-width) + 17 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(18) { right: calc(-1 * var(--tiddler-width) + 18 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(19) { right: calc(-1 * var(--tiddler-width) + 19 * var(--tiddler-padding)); }\n .tc-tiddler-frame:nth-last-of-type(20) { right: calc(-1 * var(--tiddler-width) + 20 * var(--tiddler-padding)); }\n\n .krystal--static .tc-tiddler-frame {\n left: initial;\n right: initial;\n }\n}\n",
"tags": "$:/tags/Stylesheet"
},
"$:/plugins/rmnvsl/krystal/search": {
"title": "$:/plugins/rmnvsl/krystal/search",
"tags": "$:/plugins/rmnvsl/krystal/header",
"type": "text/vnd.tiddlywiki",
"text": "{{$:/core/ui/SideBarSegments/search}}"
},
"$:/plugins/rmnvsl/krystal/settings": {
"title": "$:/plugins/rmnvsl/krystal/settings",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "Krystal",
"text": "|<$link to=\"$:/plugins/rmnvsl/krystal/config/close\">Close tiddlers to the right</$link>|<$checkbox tiddler=\"$:/plugins/rmnvsl/krystal/config/close\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"></$checkbox>|\n|<$link to=\"$:/plugins/rmnvsl/krystal/config/highlight\">Highlight open tiddlers links</$link><br>//Refresh if still highlighted//|<$checkbox tiddler=\"$:/plugins/rmnvsl/krystal/config/highlight\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"></$checkbox>|\n|<$link to=\"$:/plugins/rmnvsl/krystal/config/tiddlerwidth\">Tiddler width</$link>|<$edit-text tiddler=\"$:/plugins/rmnvsl/krystal/config/tiddlerwidth\" default=\"\" tag=\"input\" type=\"number\" class=\"text-right\" />px|\n|<$link to=\"$:/plugins/rmnvsl/krystal/config/tiddlerpadding\">Tiddler padding</$link>|<$edit-text tiddler=\"$:/plugins/rmnvsl/krystal/config/tiddlerpadding\" default=\"\" tag=\"input\" type=\"number\" class=\"text-right\" />px|"
},
"$:/config/EditToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize": {
"title": "$:/config/EditToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize",
"type": "text/vnd.tiddlywiki",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize",
"type": "text/vnd.tiddlywiki",
"text": "hide"
},
"$:/core/templates/exporters/StaticRiver": {
"title": "$:/core/templates/exporters/StaticRiver",
"description": "{{$:/language/Exporters/StaticRiver}}",
"extension": ".html",
"tags": "$:/tags/Exporter",
"type": "text/vnd.tiddlywiki",
"text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body krystal--static\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
},
"$:/core/ui/PageTemplate/sidebar": {
"title": "$:/core/ui/PageTemplate/sidebar",
"type": "text/vnd.tiddlywiki",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\" tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
},
"$:/core/ui/SideBarSegments/page-controls": {
"title": "$:/core/ui/SideBarSegments/page-controls",
"tags": "$:/tags/SideBarSegment $:/plugins/rmnvsl/krystal/header",
"type": "text/vnd.tiddlywiki",
"text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
},
"$:/core/ui/SideBarSegments/site-subtitle": {
"title": "$:/core/ui/SideBarSegments/site-subtitle",
"tags": "$:/tags/SideBarSegment $:/plugins/rmnvsl/krystal/header",
"type": "text/vnd.tiddlywiki",
"text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-title": {
"title": "$:/core/ui/SideBarSegments/site-title",
"tags": "$:/tags/SideBarSegment $:/plugins/rmnvsl/krystal/header",
"type": "text/vnd.tiddlywiki",
"text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
},
"$:/core/ui/TopBar/menu": {
"title": "$:/core/ui/TopBar/menu",
"type": "text/vnd.tiddlywiki",
"text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
},
"$:/state/sidebar": {
"title": "$:/state/sidebar",
"text": "no"
},
"$:/view": {
"title": "$:/view",
"type": "text/vnd.tiddlywiki",
"text": "horizontal"
},
"$:/plugins/rmnvsl/krystal/title.css": {
"title": "$:/plugins/rmnvsl/krystal/title.css",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.krystal-tiddler__title {\n display: none;\n}\n\n@media (min-width: 960px) {\n .krystal-tiddler__title {\n display: block;\n line-height: var(--tiddler-padding);\n bottom: 0px;\n left: 0px;\n position: sticky;\n width: 0;\n height: 0;\n transform: rotate(-90deg);\n margin-top: auto;\n opacity: 0;\n transition: opacity 0.25s ease; \n }\n\n .krystal-tiddler__title--start-active,\n .krystal-tiddler__title--end-active {\n opacity: 1;\n }\n\n .krystal-tiddler__title > a {\n color: <<color tiddler-title-foreground>> !important;\n font-size: 1.5em;\n font-weight: 400 !important;\n text-decoration: none !important;\n width: calc(100vh - var(--krystal-header-height) - ( 2 * var(--tiddler-padding)));\n display: block;\n overflow: hidden;\n pointer-events: none;\n margin-top: calc(var(--tiddler-padding) * -1);\n transform: translateY(-2px);\n }\n\n .krystal-tiddler__title--start-active > a,\n .krystal-tiddler__title--end-active> a {\n pointer-events: initial;\n }\n\n .krystal-tiddler__title--end > a {\n transform: translateY(2px) rotate(180deg);\n }\n}\n",
"tags": "$:/tags/Stylesheet"
},
"$:/plugins/rmnvsl/krystal/title": {
"title": "$:/plugins/rmnvsl/krystal/title",
"tags": "$:/tags/ViewTemplate",
"text": "<div class=\"krystal-tiddler__title\">\n<$link>\n<$view field=title/>\n</$link>\n</div>\n"
},
"$:/plugins/rmnvsl/krystal/variables.css": {
"title": "$:/plugins/rmnvsl/krystal/variables.css",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.tc-body {\n --tiddler-padding: {{$:/plugins/rmnvsl/krystal/config/tiddlerpadding}}px;\n --tiddler-width: {{$:/plugins/rmnvsl/krystal/config/tiddlerwidth}}px;\n}\n\n/* Utils */\n\n.text-right {\n text-align: right;\n}\n\n.krystal-icon svg {\n width: 1em;\n height: 1em;\n vertical-align: middle;\n}",
"tags": "$:/tags/Stylesheet"
}
}
}
{
"tiddlers": {
"$:/plugins/snowgoon88/edit-comptext/config": {
"title": "$:/plugins/snowgoon88/edit-comptext/config",
"type": "application/json",
"text": "{\n \"configuration\": {\n \"caseSensitive\" : false,\n \"maxMatch\" : 8,\n \"minPatLength\" : 2,\n \"triggerKeyCombination\" : \"^ \"\n },\n \"template\": [{\n \"pattern\": \"[[\",\n \"filter\": \"[all[tiddlers]!is[system]]\",\n \"start\": \"[[\",\n \"end\": \"]]\"\n }\n ]\n}\n"
},
"$:/plugins/snowgoon88/edit-comptext/edit-comptext.js": {
"title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.js",
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/edit-comptext.js\ntype: application/javascript\nmodule-type: widget\n\nTaken from original Edit-text widget\nVersion 5.1.13 of TW5\nAdd link-to-tiddler completion in framed.js and simple.js\n\nTODO : CHECK usefull, and particularly save_changes after every input ??\nTODO : where should popupNode be created in the DOM ?\nTODO : check that options are valid (numeric ?)\nvar isNumeric = function(n) {\n return !isNaN(parseFloat(n)) && isFinite(n);\n};\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/framed.js\").FramedCompEngine,\n\tSimpleCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/simple.js\").SimpleCompEngine;\n\nexports[\"edit-comptext\"] = editTextWidgetFactory(FramedCompEngine,SimpleCompEngine);\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/snowgoon88/edit-comptext/examples": {
"title": "$:/plugins/snowgoon88/edit-comptext/examples",
"text": "The configuration file [[$:/plugins/snowgoon88/edit-comptext/config]] allow you to use the completion plugin for various usages. Here are some examples...\n\n!! Link Completion\nThe basic and default usage. Completion is triggered by `[[`, the search is among all non-system tiddlers. When selected, the `title` of the tiddler is inserted in the text, surrounded by `[[` and `]]`. This gives the following Completion Template.\n\n\n```\n{\n \"pattern\": \"[[\",\n \"title\": \"[all[tiddlers]!is[system]]\",\n \"start\": \"[[\",\n \"end\": \"]]\"\n}\t \n```\n\n\n!! Special macro completion\nI have a 'pnjin' macro that is invoked by `<<pnjin \"TiddlerPNJName\">>` where 'TiddlerPNJName is a tiddler that hold data about a PNJ. I use tiddlywiki to organise my Role Playing Games campaigns. So, I want `<p` to trigger the completion. The search is among all non-system tiddlers tagged `PNJ` and, once selected, the title of the tiddler must be inserted surrouned by `<<pnjin \\\"` and `\\\">>`. So...\n\n```\n{\n\t\"pattern\": \"<p\",\n \t\"title\": \"[tag[PNJ]!is[system]]\",\n \t\"start\": \"<<pnjin \\\"\",\n \t\"end\": \"\\\">>\"\n}\n```\n\n!! Insert some templates or stamp or snippets into text.\nI frequently use some text pattern and I want to insert them easily. So, I could create several tiddlers, tagged '$:stamp' and in their body are the piece of texte I want to insert. The titles of these tiddlers always start with `$:/config/stamp/` (i.e. $:/config/stamp/macro, $:/config/stamp/list1, $:/config/stamp/list2). I want to trigger the completion by using `<<`, then I only want to chose among the last part of the titles of tiddlers tagged `$:stamp` so I use a mask (`$:/config/stamp/`) to only display the last part of the tiddlers title. When selectected, the `body` of the tiddler is inserted, with no surrounding strings. As a results, the Completion Template is (notice the `body` field):\n\n```\n{\n \"pattern\": \"<<\",\n \"body\": \"[tag[$:stamp]]\",\n \"mask\" : \"$:/config/stamp/\",\n \"start\": \"\",\n \"end\": \"\"\n}\n```\n\n!! And you ?\nIf you have funny usages of completion, let me know. If you'd like to do something that is not yet possible, let me know...\n\nmail : snowgoon88(AT)gmail(DOT)com"
},
"$:/plugins/snowgoon88/edit-comptext/framed.js": {
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/framed.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/framed.js\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\t\nfunction FramedCompEngine(options) {\n //DEBUG console.log( \"==FramedCompEngine::creation\" );\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n\t// Completion\n\t// Load Completion configuration as JSON\n this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create dummy popup for reading its styles\n\t//this._dummyCompletion = new Completion( this.widget, this.dummyTextArea, this._configOptions);\n\t//REMOVEthis._dummyCompletion.setAttribute(\"hidden\",\"true\");\n\t\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n\n\t// add Completion popup\n this._completion = new Completion( this.widget, this.domNode, this._configOptions, this.dummyTextArea, this.iframeNode.offsetTop, this.iframeNode.offsetLeft );\n\t// print iframe offset\n\t//DEBUG console.log( \" __iframe.offsetLeft: \"+this.iframeNode.offsetLeft );\n //DEBUG console.log( \" __iframe.offsetTop: \"+this.iframeNode.offsetTop );\n \n\t// Copy all styles from dummyCompletion\n\t//$tw.utils.copyStyles(this._dummyCompletion._popNode, this._completion._popNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\t//this._completion._popNode.style.display = \"block\";\n\t//this._completion._popNode.style.width = \"100%\";\n\t//this._completion._popNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\t//this._completion._popNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n \n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedCompEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedCompEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedCompEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedCompEngine.prototype.handleInputEvent = function(event) {\n //DEBUG console.log( \"__framed.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedCompEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedCompEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedCompEngine = FramedCompEngine;\n\n})();\n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/framed.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/simple.js": {
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/simple.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/simple.js\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\nfunction SimpleCompEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n // Completion\n\t// Load Completion configuration as JSON\n this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n\n\t// add Completion popup\n this._completion = new Completion( this.widget, this.domNode, this._configOptions );\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleCompEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleCompEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleCompEngine.prototype.handleInputEvent = function(event) {\n\tconsole.log( \"__simple.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleCompEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleCompEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleCompEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleCompEngine = SimpleCompEngine;\n\n})();\n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/simple.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/cursor-position.js": {
"text": "/*\\\nModule that compute the pixel position of the cursor of a text\nements.\n\nTaken from https://github.com/component/textarea-caret-position\n\n(as https://github.com/kir/js_cursor_position is not updated any more)\n\\*/\n// Fonction anonyme executée immediatement\n( function(){\n \n// The properties that we copy into a mirrored div.\n// Note that some browsers, such as Firefox,\n// do not concatenate properties, i.e. padding-top, bottom etc. -> padding,\n// so we have to do every single property specifically.\nvar properties = [\n 'direction', // RTL support\n 'boxSizing',\n 'width', // on Chrome and IE, exclude the scrollbar, so the mirror div wraps exactly as the textarea does\n 'height',\n 'overflowX',\n 'overflowY', // copy the scrollbar for IE\n\n 'borderTopWidth',\n 'borderRightWidth',\n 'borderBottomWidth',\n 'borderLeftWidth',\n 'borderStyle',\n\n 'paddingTop',\n 'paddingRight',\n 'paddingBottom',\n 'paddingLeft',\n\n // https://developer.mozilla.org/en-US/docs/Web/CSS/font\n 'fontStyle',\n 'fontVariant',\n 'fontWeight',\n 'fontStretch',\n 'fontSize',\n 'fontSizeAdjust',\n 'lineHeight',\n 'fontFamily',\n\n 'textAlign',\n 'textTransform',\n 'textIndent',\n 'textDecoration', // might not make a difference, but better be safe\n\n 'letterSpacing',\n 'wordSpacing',\n\n 'tabSize',\n 'MozTabSize'\n\n];\nvar isFirefox = false;\nif($tw.browser) {\n isFirefox = window.mozInnerScreenX != null;\n}\n\nfunction getCaretCoordinates(element, position, options) {\n\n var debug = options && options.debug || false;\n if (debug) {\n var el = document.querySelector('#input-textarea-caret-position-mirror-div');\n if ( el ) { el.parentNode.removeChild(el); }\n }\n\n // mirrored div\n var div = document.createElement('div');\n div.id = 'input-textarea-caret-position-mirror-div';\n document.body.appendChild(div);\n\n var style = div.style;\n var computed;\n if($tw.browser) {\n computed = window.getComputedStyle? getComputedStyle(element) : element.currentStyle; // currentStyle for IE < 9\n } \n else {\n computed = element.currentStyle;\n }\n \n\n // default textarea styles\n style.whiteSpace = 'pre-wrap';\n if (element.nodeName !== 'INPUT')\n style.wordWrap = 'break-word'; // only for textarea-s\n\n // position off-screen\n style.position = 'absolute'; // required to return coordinates properly\n if (!debug)\n style.visibility = 'hidden'; // not 'display: none' because we want rendering\n\n // transfer the element's properties to the div\n properties.forEach(function (prop) {\n style[prop] = computed[prop];\n });\n\n if (isFirefox) {\n // Firefox lies about the overflow property for textareas: https://bugzilla.mozilla.org/show_bug.cgi?id=984275\n if (element.scrollHeight > parseInt(computed.height))\n style.overflowY = 'scroll';\n } else {\n style.overflow = 'hidden'; // for Chrome to not render a scrollbar; IE keeps overflowY = 'scroll'\n }\n\n div.textContent = element.value.substring(0, position);\n // the second special handling for input type=\"text\" vs textarea: spaces need to be replaced with non-breaking spaces - http://stackoverflow.com/a/13402035/1269037\n if (element.nodeName === 'INPUT')\n div.textContent = div.textContent.replace(/\\s/g, \"\\u00a0\");\n\n var span = document.createElement('span');\n // Wrapping must be replicated *exactly*, including when a long word gets\n // onto the next line, with whitespace at the end of the line before (#7).\n // The *only* reliable way to do that is to copy the *entire* rest of the\n // textarea's content into the <span> created at the caret position.\n // for inputs, just '.' would be enough, but why bother?\n span.textContent = element.value.substring(position) || '.'; // || because a completely empty faux span doesn't render at all\n div.appendChild(span);\n\n var coordinates = {\n top: span.offsetTop + parseInt(computed['borderTopWidth']),\n left: span.offsetLeft + parseInt(computed['borderLeftWidth'])\n };\n\n if (debug) {\n span.style.backgroundColor = '#aaa';\n } else {\n document.body.removeChild(div);\n }\n\n return coordinates;\n}\n\n// Exporte as a module of node.js otherwise set as global\nif (typeof module != \"undefined\" && typeof module.exports != \"undefined\") {\n module.exports = getCaretCoordinates;\n} else {\n window.getCaretCoordinates = getCaretCoordinates;\n}\n\n})();\n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/cursor-position.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/completion.js": {
"text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/completion.js\ntype: application/javascript\nmodule-type: library\n\nTry to make self-contained completion module.\n\nTo use this 'module', you need a `widget` with a kind of `editarea` node.\nI do not know the exacte prerequisites of this editarea node for the module to\nwork, but mostly one should be able to attach the following `eventHandler` to\nit:\n - input\n - keydown\n - keypress\n - keyup\nThe `widget` is needed because I use:\n - widget.document\n - widget.wiki.filterTiddlers(...)\n\nFrom the Widget, once you have a proper editarea, you just have to call\n - var completion = new Completion( theWidget, theEditAreaNode, configObject);\nwhere `configObject` is expected to have the following fields. if a field is missing, a default value will be given.\nOne can have many `elements' in the template array.\n\n{\n \"configuration\": {\n \"caseSensitive\" : false,\n \"maxMatch\" : 8,\n \"minPatLength\" : 2,\n \"triggerKeyCombination\" : \"^ \"\n },\n \"template\": [{\n \"pattern\": \"[[\",\n \"filter\": \"[all[tiddlers]!is[system]]\",\n \"start\": \"[[\",\n \"end\": \"]]\"\n }\n ]\n}\n\nTODO : CHECK if needed\n\\*/\n\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// To compute pixel coordinates of cursor\nvar getCaretCoordinates = require(\"$:/plugins/snowgoon88/edit-comptext/cursor-position.js\");\n\n/** Default Completion Attributes */\nvar DEFATT = { maxMatch: 5, minPatLength: 2, caseSensitive: false, triggerKeyCombination: \"^ \" };\n\n/** \n * Struct for generic Completion Templates.\n * <ul>\n * <li>pat : pattern searched for.</li>\n * <li>filter : filter operation used to find the list of completion options</li>\n * <li>mask: replaced by \"\" when presenting completion options</li>\n * </ul>\n */\nvar Template = function( pat, filter, mask, field, start, end ) {\n this.pat = pat;\n this.filter = filter;\n this.mask = \"^\"+regExpEscape(mask);\n this.field = field;\n this.start = start;\n this.end = end;\n this.pos = 0;\n};\n/**\n * Struct for storing completion options, as we need to memorise \n * the titles of the tiddlers when masked and when body must be displayed.\n */\nvar OptCompletion = function( title, str ) {\n this.title = title;\n this.str = str;\n};\n\nvar keyMatchGenerator = function(combination) {\n\tlet singleMatchGenerator = function(character) {\n\t\tif (character === '^') {\n\t\t\treturn event => event.ctrlKey;\n\t\t}\n\t\telse if (character === '+') {\n\t\t\treturn event => event.shiftKey;\n\t\t}\n\t\telse if (character === '!') {\n\t\t\treturn event => event.altKey;\n\t\t}\n\t\telse {\n\t\t\treturn event => (event.keyCode || event.which) === character.charCodeAt(0);\n\t\t}\n\t};\n\n\tlet matchers = [];\n\tfor (let i = 0; i < combination.length; i++) {\n\t\tmatchers.push(singleMatchGenerator(combination[i]));\n\t}\n\n\treturn event => {\n\t\tfor (let i = 0; i < matchers.length; i++) {\n\t\t\tif (!matchers[i](event)) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t};\n};\n\n/**\n * Widget is needed in creating popupNode.\n * - widget.document\n * - widget.wiki.filterTiddlers(...)\n * - sibling : where to create the popup in the DOM.\n */\n\tvar Completion = function( editWidget, areaNode, param, sibling, offTop, offLeft ) {\n\tconsole.log( \"==Completion::creation\" );\n\n // About underlying Widget\n this._widget = editWidget;\n\tthis._areaNode = areaNode;\n\tthis._sibling = (typeof sibling !== 'undefined') ? sibling : this._areaNode;\n\tthis._offTop = (typeof offTop !== 'undefined') ? offTop : 0;\n\tthis._offLeft = (typeof offLeft !== 'undefined') ? offLeft : 0;\t\n\t\t\n // Completions attributes\n /** State */\n this._state = \"VOID\";\n this._template = undefined;\n /** Best matches */\n this._bestMatches = []; // An array of OptCompletion\n this._idxChoice = -1;\n /** Param */\n // maximum nb of match displayed\n this._maxMatch = param.configuration.maxMatch || DEFATT.maxMatch; \n this._minPatLength = param.configuration.minPatLength || DEFATT.minPatLength;\n this._caseSensitive= param.configuration.caseSensitive || DEFATT.caseSensitive;\n this._triggerKeyMatcher = keyMatchGenerator(param.configuration.triggerKeyCombination || DEFATT.triggerKeyCombination);\n /** Input information */\n this._lastChar = \"\";\n this._hasInput = false;\n /** List of Completion Templates */\n this._listTemp = [];\n \n // Read templates from Param\n if( param.template ) {\n \tvar idT;\n \tfor( idT=0; idT<param.template.length; idT++ ) {\n \t var temp = param.template[idT];\n\t // field 'body' ou 'title' (default)\n\t if( temp.body ) {\t\t\n \t\tthis._listTemp.push( \n \t\t new Template( temp.pattern, temp.body,\n\t\t\t\t temp.mask ? temp.mask : \"\",\n\t\t\t\t \"body\",\n \t\t\t\t temp.start, temp.end )\n \t\t);\n\t }\n\t else {\n \t\tthis._listTemp.push( \n \t\t new Template( temp.pattern, \n\t\t\t\t temp.title ? temp.title : temp.filter,\n\t\t\t\t temp.mask ? temp.mask : \"\",\n\t\t\t\t \"title\",\n \t\t\t\t temp.start, temp.end )\n \t\t);\n\t }\n\t //DEBUG temp = this._listTemp[this._listTemp.length-1];\n\t //DEBUG console.log( \"__CONF : \"+temp.pattern+\":\"+temp.filter+\":\"+temp.mask+\":\"+temp.field+\":\"+temp.start+\":\"+temp.end );\n \t}\n }\n // or defaut template\n else {\n \tthis._listTemp = [\n \t new Template( \"[[\", \"[all[tiddlers]!is[system]]\", \n\t\t\t \"\", \"title\",\n\t\t\t \"[[\", \"]]\" )\n \t];\n }\n // Create Popup\n\t//this._popNode = createPopup(this._widget, this._areaNode );\n\tthis._popNode = createPopup(this._widget, this._sibling );\t\n \n // Listen to the Keyboard\n $tw.utils.addEventListeners( this._areaNode,[\n\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInput\"},\n\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydown\"},\n\t{name: \"keypress\", handlerObject: this, handlerMethod: \"handleKeypress\"},\n \t{name: \"keyup\", handlerObject: this, handlerMethod: \"handleKeyup\"}\n ]);\n \n /** \n * Find the bestMatches among listChoice with given pattern\n * @param listChoice : array of String\n * @change : this._bestMatches => array of OptCompletion\n */\n this._findBestMatches = function( listChoice, pattern, nbMax) {\n\t// regexp search pattern, case sensitive\n\tvar flagSearch = this._caseSensitive ? \"\" : \"i\" ;\n\tvar regpat = RegExp( regExpEscape(pattern), flagSearch );\n\tvar regpat_start = RegExp( \"^\"+regExpEscape(pattern), flagSearch );\n\tvar regMask = RegExp( this._template.mask ? this._template.mask : \"\",\"\");\n\tvar nbMatch = 0;\n\t// nbMax set to _maxMatch if no value given\n\tnbMax = nbMax !== undefined ? nbMax : this._maxMatch;\n\n\t//DEBUG console.log( \"__FIND masked=\"+regMask+\" regPat=\"+regpat);\n\n\tthis._bestMatches= [];\n\tvar otherMatches = [];\n\t// We test every possible choice\n\tfor( var i=0; i< listChoice.length; i++ ) {\n\t // apply mask over potential choice\n\t var maskedChoice = listChoice[i].replace( regMask, \"\");\n\t // Test first if pattern is found at START of the maskedChoice\n\t // THEN added to BestMatches\n \t if( regpat_start.test( maskedChoice )) {\n\t\tif (nbMatch >= nbMax) {\n\t\t this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t return;\n\t\t} else {\n\t\t this._bestMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t nbMatch += 1;\n\t\t}\n\t }\n\t // then if pattern is found WITHIN the maskedChoice\n\t // added AFTER the choices that starts with pattern\n\t else if( regpat.test( maskedChoice ) ) {\n\t\tif (nbMatch >= nbMax) {\n\t\t // add all otherMatches to _bestMatches\n\t\t this._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\t\t this._bestMatches = this._bestMatches.concat( otherMatches );\n\t\t this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t return;\n\t\t} else {\n\t\t otherMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t nbMatch += 1;\n\t\t}\n\t }\n\t}\n\t// Here, must add the otherMatches\n\tthis._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\tthis._bestMatches = this._bestMatches.concat( otherMatches );\n };\n /**\n * Change Selected Status of Items\n */\n this._next = function (node) {\n\tvar count = node.children.length;\n\t//DEBUG console.log( \"__NEXT: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t this._goto( node, this._idxChoice < count - 1 ? this._idxChoice + 1 : -1);\n\t//DEBUG this._logStatus( \"NexT\" );\n };\n this._previous = function (node) {\n\tvar count = node.children.length;\n\tvar selected = this._idxChoice > -1;\n\t//DEBUG console.log( \"__PREV: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t this._goto( node, selected ? this._idxChoice - 1 : count - 1);\n\t//DEBUG this._logStatus( \"PreV\" );\n };\n // Should not be used, highlights specific item without any checks!\n this._goto = function (node, idx) {\n\tvar lis = node.children;\n\tvar selected = this._idxChoice > -1;\n\tif (selected) {\n\t lis[this._idxChoice].setAttribute(\"patt-selected\", \"false\");\n\t}\n\n\tthis._idxChoice = idx;\n \n\tif (idx > -1 && lis.length > 0) {\n\t lis[idx].setAttribute(\"patt-selected\", \"true\");\n\t}\n };\n /**\n * Abort pattern and undisplay.\n */\n this._abortPattern = function (displayNode) {\n\tthis._state = \"VOID\";\n\tthis._bestChoices = [];\n\tthis._idxChoice = -1;\n\tthis._undisplay( displayNode );\n\tthis._template = undefined;\n };\n /**\n * Display popupNode at the cursor position in areaNode.\n */\n this._display = function( areaNode, popupNode ) {\n\tif ( popupNode.style.display == 'none' ) {\n\t // Must get coordinate\n\t // Cursor coordinates within area + area coordinates + scroll\n var coord = getCaretCoordinates(areaNode, areaNode.selectionEnd);\n var styleSize = getComputedStyle(areaNode).getPropertyValue('font-size');\n var fontSize = parseFloat(styleSize); \n\t\t\n\t popupNode.style.left = (this._offLeft+areaNode.offsetLeft-areaNode.scrollLeft+coord.left) + 'px';\n\t popupNode.style.top = (this._offTop+areaNode.offsetTop-areaNode.scrollTop+coord.top+fontSize*2) + 'px';\n\t popupNode.style.display = 'block';\n\t}\n };\n /**\n * Undisplay someNode\n */\n this._undisplay = function( displayNode ) {\n\tif ( displayNode.style.display != 'none' ) {\n\t displayNode.style.display = 'none';\n\t}\n };\n\n /**\n * Used for debug\n */\n this._logStatus = function(msg) {\n\tconsole.log( \"__STATUS: \"+this._state+\":-\"+msg+\"- idx=\"+this._idxChoice );\n };\n\n};\n// **************************************************************************\n// ******************************************************************eventCbk\n// **************************************************************************\n/**\n * Disable the *effects* of ENTER / UP / DOWN / ESC when needed.\n * Set _hasInput to false.\n */\nCompletion.prototype.handleKeydown = function(event) {\n // key \n var key = event.keyCode;\n this._hasInput = false;\n \n //DEBUG console.log( \"__KEYDOWN (\"+key+\") hasI=\"+this._hasInput);\n \n // ENTER while selecting\n if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 13 ) {\n \tevent.preventDefault();\n \tevent.stopPropagation();\n }\n // ESC while selecting\n if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 27 ) {\n \tevent.preventDefault();\n \tevent.stopPropagation();\n }\n // UP/DOWN while a pattern is extracted\n if( (key===38 || key===40) && \n\t(this._state === \"PATTERN\" || this._state === \"SELECT\") ) {\n\tevent.preventDefault();\n }\n};\n/**\n * Means that something has been added/deleted => set _hasInput\n */\nCompletion.prototype.handleInput = function(event) {\n this._hasInput = true;\n //DEBUG console.log( \"__INPUT hasI=\"+this._hasInput );\n};\n\t\n/**\n * Set _lastChar, detects CTRL+SPACE.\n */\nCompletion.prototype.handleKeypress = function(event) {\n var curPos = this._areaNode.selectionStart; // cursor position\n var val = this._areaNode.value; // text in the area\n // key \n var key = event.keyCode || event.which;\n\t\n this._lastChar = String.fromCharCode(key);\n //DEBUG console.log( \"__KEYPRESS (\"+key+\") hasI=\"+this._hasInput+\" char=\"+this._lastChar );\n //DEBUG this._logStatus( \"KEYPRESS\" );\n \n // Detect Ctrl+Space\n if( this._triggerKeyMatcher(event) && this._state === \"VOID\" ) {\n\t//Find a proper Template\n\t// first from which we can extract a pattern\n\tif( this._template === undefined ) {\n\t //DEBUG console.log(\"__SPACE : find a Template\" );\n\t var idT, res;\n\t for( idT=0; idT < this._listTemp.length; idT++ ) {\n\t\tres = extractPattern( val, curPos, this._listTemp[idT] );\n\t\t//DEBUG console.log(\" t=\"+this._listTemp[idT].pat+\" res=\"+res);\n\t\t// res is not undefined => good template candidate\n\t\tif( res ) {\n\t\t this._template = this._listTemp[idT];\n\t\t this._state = \"PATTERN\";\n\t\t break;\n\t\t}\n\t }\n\t}\n\telse {\n\t //DEBUG console.log(\"__SPACE : already a template\" );\n\t this._state = \"PATTERN\";\n\t}\n }\n};\n/**\n * ESC -> abort; \n * Detect [ -> VOID switch to _state=PATTERN\n * PATTERN || SELECT : ENTER -> insertText\n * UP/DOWN -> previous/next\n * pattern.length > _minPatternLength -> display \n */\nCompletion.prototype.handleKeyup = function(event) {\n var curPos = this._areaNode.selectionStart; // cursor position\n var val = this._areaNode.value; // text in the area\n // key a\n var key = event.keyCode;\n \n //DEBUG console.log( \"__KEYUP (\"+key+\") hasI=\"+this._hasInput );\n \n // ESC\n if( key === 27 ) {\n\tthis._abortPattern( this._popNode );\n\t//DEBUG this._logStatus( \"\" );\n }\n // Check for every template\n if( this._hasInput && this._state === \"VOID\" ) {\n\t// check every template's pattern\n\tvar idT, template;\n\tfor( idT=0; idT < this._listTemp.length; idT++ ) {\n\t template = this._listTemp[idT];\n\t if( this._lastChar === template.pat[template.pos] ) {\n\t\ttemplate.pos += 1;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t\t// Pattern totaly matched ?\n\t\tif( template.pos === template.pat.length ) {\n\t\t //DEBUG console.log( \"__CHECK => found \"+template.pat );\n\t\t this._state = \"PATTERN\";\n\t\t this._template = template;\n\t\t \n\t\t break; // get out of loop\n\t\t}\n\t }\n\t else {\n\t\ttemplate.pos = 0;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t }\n\t}\n }\n // a pattern\n else if( this._state === \"PATTERN\" || this._state === \"SELECT\" ) {\n\t// Pattern below cursor : undefined if no pattern\n\tvar pattern = extractPattern( val, curPos, this._template );\n\tif( key === 13 ) { // ENTER\n\t //DEBUG console.log( \"KEY : Enter\" );\n \t // Choice made in the displayNode ?\n \t var selected = this._idxChoice > -1 && this._idxChoice !== this._maxMatch;\n \t //DEBUG console.log( \" > sel=\"+selected+\" len=\"+this._bestChoices.length );\n \t if( selected ) {\n \t\t//DEBUG console.log( \" > selected\" );\n\t\tvar temp = this._bestMatches[this._idxChoice];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n \t\tinsertInto( this._areaNode,\n\t\t\t str,\n\t\t\t pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t }\n\t // otherwise take the first choice (if exists)\n\t else if( this._bestMatches.length > 0 ) {\n \t\t//DEBUG console.log( \" > take first one\" );\n\t\tvar temp = this._bestMatches[0];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n \t\tinsertInto( this._areaNode,\n\t\t\t str,\n\t\t\t pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t }\n\t this._abortPattern( this._popNode );\n\t\t//DEBUG this._logStatus( \"\" );\n \t }\n\t else if( key === 38 && this._hasInput === false) { // up\n\t\tthis._state = \"SELECT\";\n \t\tevent.preventDefault();\n \t\tthis._previous( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n \t\t//event.stopPropagation();\n \t }\n \t else if( key === 40 && this._hasInput === false) { // down\n\t\tthis._state = \"SELECT\";\n \t\tevent.preventDefault();\n \t\tthis._next( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n \t\t//event.stopPropagation();\n \t }\n \t else if( pattern ) { // pattern changed by keypressed\n\t\tthis._idxChoice = -1;\n \t\t// log\n\t\t//DEBUG this._logStatus( pattern.text );\n \t\t// Popup with choices if pattern at least minPatLength letters long\n\t\tif( pattern.text.length > (this._minPatLength-1) ) {\n\t\t // compute listOptions from templateFilter\n\t\t var allOptions;\n\t\t if( this._template )\n\t\t\tallOptions = this._widget.wiki.filterTiddlers( this._template.filter );\n\t\t else\n\t\t\tallOptions = this._widget.wiki.filterTiddlers(\"[all[tiddlers]]\");\n\t\t this._findBestMatches( allOptions, pattern.text );\n \t\t this._popNode.innerHTML = \"\";\n \t\t //console.log( \"BC \"+ this._pattern + \" => \" + choice );\n \t\t if (this._bestMatches.length > 0) {\n\t\t\tfor( var i=0; i<this._bestMatches.length; i++) {\n \t\t\t this._popNode.appendChild( \n\t\t\t\titemHTML(this._bestMatches[i].str,\n\t\t\t\t\t pattern.text));\n \t\t\t}\n\t\t\tthis._display( this._areaNode, this._popNode );\t\t\t\n \t\t }\n\t\t else { // no matches\n\t\t\tthis._state = \"PATTERN\";\n\t\t\tthis._undisplay( this._popNode );\n\t\t }\n\t\t}\n \t }\n\t else { // no pattern detected\n\t\tthis._abortPattern( this._popNode );\n\t }\n\t}\n\t// to ensure that one MUST add an input (through onInput())\n\tthis._hasInput = false;\n};\n// **************************************************************************\n// ******************************************************** private functions\n// **************************************************************************\n/**\n * Create popup element.\n */\nvar createPopup = function( widget, node ) {\n // Insert a special \"div\" element for poping up\n // Its 'display' property in 'style' control its visibility\n var popupNode = widget.document.createElement(\"div\");\n popupNode.setAttribute( \"style\", \"display:none; position: absolute;\");\n popupNode.className = \"tc-block-dropdown ect-block-dropdown\";\n // Insert the element into the DOM\n node.parentNode.insertBefore(popupNode,node.nextSibling);\n //CHECK the domNodes is a attribute of Widget [widget.js]\n //CHECK this.domNodes.push(popupNode);\n \n return popupNode;\n};\n/**\n * Extract Pattern from text at a given position.\n *\n * Between previous template.pat (or '[[') and pos\n * \n * If no pattern -> undefined\n */\nvar extractPattern = function( text, pos, template ) {\n // Detect previous and next ]]=>STOP or [[=>START\n var sPat = template.pat ? template.pat : '[[';\n var pos_prevOpen = text.lastIndexOf( sPat, pos );\n var ePat = template.end ? template.end : ']]';\n var pos_prevClosed = text.lastIndexOf( ePat, pos );\n var pos_nextClosed = text.indexOf( ePat, pos );\n //DEBUG console.log(\"__CALC st=\"+sPat+\" -> en=\"+ePat );\n //DEBUG console.log(\"__CALC po=\"+pos_prevOpen+\" pc=\"+pos_prevClosed+\" nc=\"+pos_nextClosed+\" pos=\"+pos);\n pos_nextClosed = (pos_nextClosed >= 0) ? pos_nextClosed : pos;\n \n if( (pos_prevOpen >= 0) && // must be opened\n\t((pos_prevOpen > pos_prevClosed ) || // not closed yet\n\t (pos_prevClosed === pos))) { // closed at cursor\n\t//DEBUG console.log(\" pat=\"+text.slice( pos_prevOpen+sPat.length, pos) );\n\treturn { text: text.slice( pos_prevOpen+sPat.length, pos ),\n\t\t start: pos_prevOpen,\n\t\t end: pos_nextClosed\n\t };\n }\n};\n/**\n * Controls how list items are generated.\n * Function that takes two parameters :\n * - text : suggestion text\n * - input : the user’s input\n * Returns : list item. \n * Generates list items with the user’s input highlighted via <mark>.\n */\nvar itemHTML = function (text, input ) {\n // text si input === ''\n // otherwise, build RegExp that is global (g) and case insensitive (i)\n // to replace with <mark>$&</mark> where \"$&\" is the matched pattern\n var html = input === '' ? text : text.replace(RegExp(regExpEscape(input.trim()), \"gi\"), \"<mark>$&</mark>\");\n return create(\"li\", {\n\tinnerHTML: html,\n\t\"patt-selected\": \"false\"\n });\n};\n/**\n * Insert text into a textarea node, \n * enclosing in 'template.start..template.end'\n *\n * - posBefore : where the 'template.pat+pattern' starts\n * - posAfter : where the cursor currently is\n */\nvar insertInto = function(node, text, posBefore, posAfter, template ) {\n //DEBUG console.log( \"__INSERT : \"+template.pattern+\":\"+template.filter+\":\"+template.mask+\":\"+template.field+\":\"+template.start+\":\"+template.end );\n var val = node.value;\n var sStart = template.start !== undefined ? template.start : '[[';\n var sEnd = template.end !== undefined ? template.end : ']]';\n var newVal = val.slice(0, posBefore) + sStart + text + sEnd + val.slice(posAfter);\n //console.log(\"__INSERT s=\"+sStart+\" e=\"+sEnd);\n //console.log (\"__INSERT pb=\"+posBefore+\" pa=\"+posAfter+\" txt=\"+text);\n //console.log( \"NEW VAL = \"+newVal );\n // WARN : Directly modifie domNode.value.\n // Not sure it does not short-circuit other update methods of the domNode....\n // i.e. could use widget.updateEditor(newVal) from edit-comptext widget.\n // but how to be sure that cursor is well positionned ?\n node.value = newVal;\n node.setSelectionRange(posBefore+text.length+sStart.length+sEnd.length, posBefore+text.length+sStart.length+sEnd.length );\n};\n/**\n * Add an '\\' in front of -\\^$*+?.()|[]{}\n */\nvar regExpEscape = function (s) {\n return s.replace(/[-\\\\^$*+?.()|[\\]{}]/g, \"\\\\$&\");\n};\n/**\n * Add an element in the DOM.\n */\nvar create = function(tag, o) {\n var element = document.createElement(tag);\n \n for (var i in o) {\n\tvar val = o[i];\n\t\n\tif (i === \"inside\") {\n\t $(val).appendChild(element);\n\t}\n\telse if (i === \"around\") {\n\t var ref = $(val);\n\t ref.parentNode.insertBefore(element, ref);\n\t element.appendChild(ref);\n\t}\n\telse if (i in element) {\n\t element[i] = val;\n\t}\n\telse {\n\t element.setAttribute(i, val);\n\t}\n }\n \n return element;\n};\n\n\nexports.Completion = Completion;\n\n})();\n\n \n",
"type": "application/javascript",
"title": "$:/plugins/snowgoon88/edit-comptext/completion.js",
"module-type": "library"
},
"$:/plugins/snowgoon88/edit-comptext/edit-comptext.css": {
"text": "\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/* The \\rules pragma at the top of the tiddler restricts the WikiText \n * to just allow macros and transclusion. This avoids mistakenly \n * triggering unwanted WikiText processing.\n * \n * MUST not save as text/css for macro to be processed\n*/\n\n.ect-block-dropdown li {\n display: block;\n padding: 4px 14px 4px 14px;\n text-decoration: none;\n color: <<colour tiddler-link-foreground>>; /*#5778d8;*/ \n background: transparent;\n}\n.ect-block-dropdown li[patt-selected=\"true\"] {\n color: <<colour tiddler-link-background>>; /*#ffffff; */\n background-color: <<colour tiddler-link-foreground>>; /*#5778d8; */\n}\n.ect-block-dropdown li[patt-selected=\"true\"] mark {\n background: hsl(86, 100%, 21%);\n color: inherit;\n}\n\n",
"type": "text/vnd.tiddlywiki",
"title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.css",
"tags": "[[$:/tags/Stylesheet]]"
},
"$:/plugins/snowgoon88/edit-comptext/readme": {
"title": "$:/plugins/snowgoon88/edit-comptext/readme",
"text": "!! What ?\nThis plugin adds ''completion'' when editing the body of a tiddler.\n\n* Enter completion-mode by typing `[[` or `CTRL+SPACE`\n* A list of tiddlers with a title that matches the pattern between `[[` and cursor appears\n* `UP/DOWN` keys can select a tiddler, `ENTER` to validate\n* If there is only one match, `ENTER` selects it.\n* `NEW` : you can specify you own trigger pattern and the list of possible completions. See [[$:/plugins/snowgoon88/edit-comptext/usage]] for more details.\n\n\n!! To try it or get the latest news\nSee [[http://snowgoon88.github.io/TW5-extendedit]]\n\n!! Install \n\nTo add the plugin to your own TiddlyWiki5, just drag this link to the browser window:\n\n[[$:/plugins/snowgoon88/edit-comptext]]\n\nSometime, a small configuration step is then needed\n\nin `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you must chose `comptext` instead of `text`.\n\nReload and « voilà »...\n\nThis plugin is quite mature now :o)\n\n!! Old version\n\n* A version compatible with 5.0.8 to 5.1.11 : [[http://snowgoon88.github.io/TW5-extendedit/index_5.1.11.html]]\n\n!! Source code\nOn github [[https://github.com/snowgoon88/TW5-extendedit]]\n\nGet in touch : snowgoon88(AT)gmail(DOT)com\n"
},
"$:/plugins/snowgoon88/edit-comptext/usage": {
"title": "$:/plugins/snowgoon88/edit-comptext/usage",
"text": "''Important'' : be sure that in `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you have chosen `comptext` instead of `text`.\n\nConfiguration of the edit-comptext plugin can be done through the tiddler [[$:/plugins/snowgoon88/edit-comptext/config]]. Use a JSON tiddler (do not forget to set the type to `application/json`. See some examples at [[$:/plugins/snowgoon88/edit-comptext/examples]]\n\nIn the `configuration` object you can set :\n\n* `caseSensitive`: `true`/`false` (is search case sensitive ?)\n* `maxMatch` : an `integer` (max number of match displayed)\n* `minPatLength` : an `integer` (minimal length of a pattern to trigger completion search)\n* `triggerKeyCombination ` : a `string` representing the key combination that triggers the autocompletion popup. To use modifier keys in your combination, use following conversions : `ctrl` -> `^`, `alt` -> `!`, `shift` -> `+`. Note: ` ` (literally a whitespace) represents the `space` key.\n\nIn the `template` array you can specify the various completion templates that will be used. Every template can have the following members.\n\n* `pattern` : `string` (pattern that triggers a completion, default \"[[\" )\n* `title` or `body`: `string` (the filter operators that gives the list of valid completions, default \"[all[tiddlers]!is[system]]\"). If you specify `body`, then the body of the tiddler will be inserted on selection.\n* `start` : `string` (when completion is chosen, start is put before the completion, default \"[[\")\n* `end` : `string` (when completion is chosen, end is put after the completion, default \"]]\")\n\n!! Current body of Config Tiddler\n\n{{$:/plugins/snowgoon88/edit-comptext/config}}\n\n"
}
}
}
$:/core/ui/AdvancedSearch/Standard
$:/core/ui/AdvancedSearch/Standard
$:/core/ui/ControlPanel/Theme
$:/core/ui/ControlPanel/Basics
$:/core/ui/ControlPanel/Plugins/Installed/Languages
$:/core/ui/ControlPanel/TiddlerFields
$:/core/ui/MoreSideBar/Plugins/Languages
$:/core/ui/ControlPanel/Info
$:/core/ui/ControlPanel/Saving/General
$:/core/ui/MoreSideBar/Missing
$:/core/ui/ControlPanel/Toolbars/EditToolbar
{
"tiddlers": {
"$:/themes/tiddlywiki/snowwhite/base": {
"title": "$:/themes/tiddlywiki/snowwhite/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define sidebarbreakpoint-minus-one()\n<$text text={{{ [{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}removesuffix[px]subtract[1]addsuffix[px]] ~[{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}] }}}/>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
}
}
}
{
"tiddlers": {
"$:/themes/tiddlywiki/vanilla/themetweaks": {
"title": "$:/themes/tiddlywiki/vanilla/themetweaks",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}",
"text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
},
"$:/themes/tiddlywiki/vanilla/base": {
"title": "$:/themes/tiddlywiki/vanilla/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define sidebarbreakpoint()\n<$text text={{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}/>\n\\end\n\n\\define sidebarbreakpoint-minus-one()\n<$text text={{{ [{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}removesuffix[px]subtract[1]addsuffix[px]] ~[{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}] }}}/>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\define set-type-selector-min-width()\n<$set name=\"typeLength\" value={{{ [all[shadows+tiddlers]prefix[$:/language/Docs/Types/]get[name]length[]maxall[]] }}}>\n\n\t.tc-type-selector-dropdown-wrapper {\n\t\tmin-width: calc(<<typeLength>>ch + 4em);\n\t}\n\n\t.tc-type-selector-dropdown-wrapper input.tc-edit-typeeditor {\n\t\tmin-width: <<typeLength>>ch;\n\t}\n\n</$set>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\ninput[type=\"search\"] {\n outline-offset: initial;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tfill: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml, body {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\n<<if-background-attachment \"\"\"\n\nbody.tc-body {\n background-color: transparent;\n}\n\n\"\"\">>\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n\tfont-size: 2em;\n}\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote > div {\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n border-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n left: -50px;\n top: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n right: -80px;\n bottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\nbutton, textarea, input, select {\n\toutline-color: <<colour primary>>;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\ninput[type=\"checkbox\"] {\n vertical-align: middle;\n}\n\ninput[type=\"search\"]::-webkit-search-decoration,\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-results-button,\ninput[type=\"search\"]::-webkit-search-results-decoration {\n\t-webkit-appearance:none;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n::selection {\n\tbackground-color: Highlight;\n\tcolor: HighlightText;\n\tbackground-color: <<colour selection-background>>;\n\tcolor: <<colour selection-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\t/* next 2 elements needed, since normalize 8.0.1 */\n\tborder-collapse: collapse;\n\tborder-spacing: 0;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: 500;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n.tc-drop-down a.tc-tiddlylink:hover {\n\tcolor: <<colour tiddler-link-background>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n.tc-sidebar-tab-open .tc-droppable-placeholder, .tc-tagged-draggable-list .tc-droppable-placeholder,\n.tc-links-draggable-list .tc-droppable-placeholder {\n\tline-height: 2em;\n\theight: 2em;\n}\n\n.tc-sidebar-tab-open-item {\n\tposition: relative;\n}\n\n.tc-sidebar-tab-open .tc-btn-invisible.tc-btn-mini svg {\n\tfont-size: 0.7em;\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\tcursor: pointer;\n\tcolor: <<colour foreground>>;\n\tfill: <<colour foreground>>;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n/* used for documentation \"fake\" buttons */\n.tc-btn-standard {\n\tline-height: 1.8;\n\tcolor: #667;\n\tbackground-color: #e0e0e0;\n\tborder: 1px solid #888;\n\tpadding: 2px 1px 2px 1px;\n\tmargin: 1px 4px 1px 4px;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tborder-radius: 2px;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-primary-btn {\n \tbackground: <<colour primary>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\n.tc-sidebar-lists button small {\n\tcolor: <<colour foreground>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\n.tc-block-tags-dropdown > .tc-btn-invisible:hover {\n\tbackground-color: <<colour primary>>;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 400;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-sidebar-scrollable .tc-tag-label {\n\ttext-shadow: none;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tmargin-right: 3px; \n\tmargin-bottom: 1px;\n\tvertical-align: bottom;\n}\n\n.tc-edit-tags button.tc-remove-tag-button svg {\n\tfont-size: 0.7em;\n\tvertical-align: middle;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button {\n\toutline: none;\n}\n\n.tc-tag-button-selected,\n.tc-list-item-selected a.tc-tiddlylink, a.tc-list-item-selected {\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour tiddler-background>>;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-topbar-right {\n\t\tright: 10px;\n\t}\n\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-show-sidebar-btn svg.tc-image-chevron-left, .tc-hide-sidebar-btn svg.tc-image-chevron-right {\n\t\ttransform: rotate(-90deg);\n\t}\n\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls .tc-drop-down {\n font-size: 1rem;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-sidebar-lists .tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\ttransition: min-height {{$:/config/AnimationDuration}}ms ease-in-out, padding-top {{$:/config/AnimationDuration}}ms ease-in-out, padding-bottom {{$:/config/AnimationDuration}}ms ease-in-out;\n\t}\n\t\n\t<<if-no-sidebar \"\"\"\n\n\t\t.tc-sidebar-header {\n\t\t\tmin-height: 0;\n\t\t\tpadding-top: 0;\n\t\t\tpadding-bottom: 0;\n\t\t}\n\n\t\"\"\">>\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n\t.tc-story-river.tc-static-story-river {\n\t\tmargin-right: 0;\n\t\tpadding-right: 42px;\n\t}\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-tiddler-info {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t\tmargin-bottom: .5em;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.35em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n\tmargin-right: .1em;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-subtitle .tc-tiddlylink {\n\tmargin-right: .3em;\n}\n\n.tc-tiddler-missing .tc-title {\n font-style: italic;\n font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n height: 1.2em;\n width: 1.2em;\n margin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-editor-background>>;\n}\n\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-background>>;\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tcolor: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-type-selector .tc-edit-typeeditor {\n\twidth: auto;\n}\n\n.tc-type-selector-dropdown-wrapper {\n\tdisplay: inline-block;\n}\n\n<<set-type-selector-min-width>>\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 49%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-preview .tc-edit-texteditor {\n\twidth: 49%;\n}\n\n.tc-tiddler-frame .tc-tiddler-preview canvas.tc-edit-bitmapeditor {\n\tmax-width: 49%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n.tc-edit-fields.tc-edit-fields-small {\n\tmargin-top: 0;\n\tmargin-bottom: 0;\n}\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name-wrapper input.tc-edit-texteditor {\n\twidth: auto;\n}\n\n.tc-edit-field-add-name-wrapper {\n\tdisplay: inline-block;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-edit-field-add-value {\n\t\twidth: 35%;\n\t}\n\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-viewswitcher .tc-image-button {\n\tmargin-right: .3em;\n}\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-drop-down .tc-drop-down-info {\n\tpadding-left: 14px;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n width: auto;\n margin-bottom: 0px;\n border-bottom-left-radius: 0;\n border-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a.tc-tiddlylink:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n\n/*\n** Centered modals\n*/\n.tc-modal-centered .tc-modal {\n\twidth: auto;\n\ttop: 50%;\n\tleft: 50%;\n\ttransform: translate(-50%, -50%) !important;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n\toverflow: auto;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n display: block;\n width: 100%;\n text-align: left;\t\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n flex: 1 0;\n background: <<colour tiddler-editor-background>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n white-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n background: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n padding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n flex: 3 1;\n border-left: 0.5em solid <<colour muted-foreground>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Import table\n*/\n\n.tc-import-table {\n\twidth: 100%;\n}\n\n.tc-import-table svg.tc-image-edit-button {\n\tmax-width: unset;\n}\n\n.tc-import-table th:first-of-type {\n\twidth: 10%;\n}\n\n.tc-import-table th:last-of-type {\n\twidth: 30%;\n}\n\n.tc-import-table .tc-row-disabled {\n\tbackground: <<colour very-muted-foreground>>10;\n\topacity: 0.8;\n}\n\n.tc-import-table .tc-row-warning {\n\tbackground: <<colour diff-delete-background>>50;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 28px;\n\tleft: 0;\n\tright: 0;\n\tmax-width: 50%;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 14px;\n\tpadding: 7px;\n\tborder: 1px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 7px;\n\tright: 7px;\n line-height: 0;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n font-size: 0.8em;\n margin-bottom: 0.5em;\n}\n\n.tc-alert-body > p {\n\tmargin: 0;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Floating drafts list\n*/\n\n.tc-drafts-list {\n\tz-index: 2000;\n\tposition: fixed;\n\tfont-size: 0.8em;\n\tleft: 0;\n\tbottom: 0;\n}\n\n.tc-drafts-list a {\n\tmargin: 0 0.5em;\n\tpadding: 4px 4px;\n\tborder-top-left-radius: 4px;\n\tborder-top-right-radius: 4px;\n\tborder: 1px solid <<colour background>>;\n\tborder-bottom-none;\n\tbackground: <<colour dirty-indicator>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a:hover {\n\ttext-decoration: none;\n\tbackground: <<colour foreground>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: flex;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tfill: <<colour muted-foreground>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n align-items: center;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info {\n margin: 0.5em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugin-indicator {\n\tmargin: -16px 1em 0 2em;\n}\n\n.tc-plugin-info-sub-plugin-indicator button {\n\tcolor: <<colour background>>;\n\tbackground: <<colour foreground>>;\n\tborder-radius: 8px;\n padding: 2px 7px;\n font-size: 0.75em;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info-dropdown {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover > .tc-plugin-info-chunk > svg {\n\tfill: <<colour background>>;\n}\n\n.tc-plugin-info-chunk {\n margin: 2px;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description {\n\tflex-grow: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-buttons {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tflex-grow: 0;\n\tflex-shrink: 0;\n text-align: right;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h1 {\n\tfont-size: 1em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h2 {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description div {\n\tfont-size: 0.7em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle img, .tc-plugin-info-chunk.tc-plugin-info-toggle svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon img, .tc-plugin-info-chunk.tc-plugin-info-icon svg {\n\twidth: 2em;\n\theight: 2em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 0 1em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugins {\n\tpadding: 0.5em;\n margin: 0 1em 1em 1em;\n\tbackground: <<colour notification-background>>;\n}\n\n.tc-install-plugin {\n\tfont-weight: bold;\n\tbackground: green;\n\tcolor: white;\n\tfill: white;\n\tborder-radius: 4px;\n\tpadding: 3px;\n}\n\n.tc-install-plugin.tc-reinstall-downgrade {\n\tbackground: red;\n}\n\n.tc-install-plugin.tc-reinstall {\n\tbackground: blue;\n}\n\n.tc-install-plugin.tc-reinstall-upgrade {\n\tbackground: orange;\n}\n\n.tc-check-list {\n\tline-height: 2em;\n}\n\n.tc-check-list .tc-image-button {\n\theight: 1.5em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n vertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder-right: 1px solid <<colour table-header-background>>;\n\tborder-left: 1px solid <<colour table-header-background>>;\n}\n\n\n.tc-chooser-item {\n\tborder-bottom: 1px solid <<colour table-header-background>>;\n\tborder-top: 1px solid <<colour table-header-background>>;\n\tpadding: 2px 4px 2px 14px;\n}\n\n.tc-drop-down .tc-chooser-item {\n\tpadding: 2px;\n}\n\n.tc-chosen,\n.tc-chooser-item:hover {\n\tbackground-color: <<colour table-header-background>>;\n\tborder-color: <<colour table-footer-background>>;\n}\n\n.tc-chosen .tc-tiddlylink {\n\tcursor:default;\n}\n\n.tc-chooser-item .tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tbackground-color: transparent;\n}\n\n.tc-chooser-item:hover .tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-chosen .tc-tiddlylink,\n.tc-drop-down .tc-chooser-item .tc-tiddlylink:hover {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-chosen > .tc-tiddlylink:before {\n\tmargin-left: -10px;\n\tposition: relative;\n\tcontent: \"» \";\n}\n\n.tc-chooser-item svg,\n.tc-chooser-item img{\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: middle;\n}\n\n.tc-language-chooser .tc-image-button img {\n\twidth: 2em;\n\tvertical-align: -0.15em;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\ninput.tc-palette-manager-colour-input {\n\twidth: 100%;\n\tpadding: 0;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n::-webkit-file-upload-button {\n\tcursor:pointer;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Diffs\n*/\n\n.tc-diff-equal {\n\tbackground-color: <<colour diff-equal-background>>;\n\tcolor: <<colour diff-equal-foreground>>;\n}\n\n.tc-diff-insert {\n\tbackground-color: <<colour diff-insert-background>>;\n\tcolor: <<colour diff-insert-foreground>>;\n}\n\n.tc-diff-delete {\n\tbackground-color: <<colour diff-delete-background>>;\n\tcolor: <<colour diff-delete-foreground>>;\n}\n\n.tc-diff-invisible {\n\tbackground-color: <<colour diff-invisible-background>>;\n\tcolor: <<colour diff-invisible-foreground>>;\n}\n\n.tc-diff-tiddlers th {\n\ttext-align: right;\n\tbackground: <<colour background>>;\n\tfont-weight: normal;\n\tfont-style: italic;\n}\n\n.tc-diff-tiddlers pre {\n margin: 0;\n padding: 0;\n border: none;\n background: none;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n \tpadding-left: 14px;\n}\n\n.tc-tree ol {\n \tlist-style-type: none;\n \tpadding-left: 0;\n \tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n \tpadding-left: 1em; \n}\n\n.tc-tree button { \n \tcolor: #acacac;\n}\n\n.tc-tree svg {\n \tfill: #acacac;\n}\n\n.tc-tree span svg {\n \twidth: 1em;\n \theight: 1em;\n \tvertical-align: baseline;\n}\n\n.tc-tree li span {\n \tcolor: lightgray;\n}\n\nselect {\n color: <<colour select-tag-foreground>>;\n background: <<colour select-tag-background>>;\n}\n\n/*\n** Utility classes for SVG icons\n*/\n\n.tc-fill-background {\n\tfill: <<colour background>>;\n}\n\n/*\n** Flexbox utility classes\n*/\n\n.tc-flex {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-flex-column {\n\tflex-direction: column;\n}\n\n.tc-flex-row {\n\tflex-direction: row;\n}\n\n.tc-flex-grow-1 {\n\tflex-grow: 1;\n}\n\n.tc-flex-grow-2 {\n\tflex-grow: 2;\n}\n\n/*\n** Other utility classes\n*/\n\n.tc-small-gap {\n\tmargin-left: .5em;\n\tmargin-right: .5em;\n}\n\n.tc-small-gap-left {\n\tmargin-left: .5em;\n}\n\n.tc-small-gap-right {\n\tmargin-right: .5em;\n}\n\n.tc-big-gap {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-big-gap-left {\n\tmargin-left: 1em;\n}\n\n.tc-big-gap-right {\n\tmargin-right: 1em;\n}\n\n.tc-word-break {\n\tword-break: break-all;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
"text": "15px"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
"text": "22px"
},
"$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
"text": "14px"
},
"$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
"text": "20px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storytop": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyright": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
"text": "686px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
"text": "960px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
"text": "350px"
},
"$:/themes/tiddlywiki/vanilla/options/stickytitles": {
"title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
"text": "no"
},
"$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
"title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
"text": "fixed-fluid"
},
"$:/themes/tiddlywiki/vanilla/options/codewrapping": {
"title": "$:/themes/tiddlywiki/vanilla/options/codewrapping",
"text": "pre-wrap"
},
"$:/themes/tiddlywiki/vanilla/reset": {
"title": "$:/themes/tiddlywiki/vanilla/reset",
"type": "text/plain",
"text": "/*! modern-normalize v1.0.0 | MIT License | https://github.com/sindresorhus/modern-normalize */\n\n/*\nDocument\n========\n*/\n\n/**\nUse a better box model (opinionated).\n*/\n\n*,\n*::before,\n*::after {\n box-sizing: border-box;\n}\n\n/**\nUse a more readable tab size (opinionated).\n*/\n\n:root {\n -moz-tab-size: 4;\n tab-size: 4;\n}\n\n/**\n1. Correct the line height in all browsers.\n2. Prevent adjustments of font size after orientation changes in iOS.\n*/\n\nhtml {\n line-height: 1.15; /* 1 */\n -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/*\nSections\n========\n*/\n\n/**\nRemove the margin in all browsers.\n*/\n\nbody {\n margin: 0;\n}\n\n/**\nImprove consistency of default fonts in all browsers. (https://github.com/sindresorhus/modern-normalize/issues/3)\n*/\n\nbody {\n font-family:\n system-ui,\n -apple-system, /* Firefox supports this but not yet `system-ui` */\n 'Segoe UI',\n Roboto,\n Helvetica,\n Arial,\n sans-serif,\n 'Apple Color Emoji',\n 'Segoe UI Emoji';\n}\n\n/*\nGrouping content\n================\n*/\n\n/**\n1. Add the correct height in Firefox.\n2. Correct the inheritance of border color in Firefox. (https://bugzilla.mozilla.org/show_bug.cgi?id=190655)\n*/\n\nhr {\n height: 0; /* 1 */\n color: inherit; /* 2 */\n}\n\n/*\nText-level semantics\n====================\n*/\n\n/**\nAdd the correct text decoration in Chrome, Edge, and Safari.\n*/\n\nabbr[title] {\n text-decoration: underline dotted;\n}\n\n/**\nAdd the correct font weight in Edge and Safari.\n*/\n\nb,\nstrong {\n font-weight: bolder;\n}\n\n/**\n1. Improve consistency of default fonts in all browsers. (https://github.com/sindresorhus/modern-normalize/issues/3)\n2. Correct the odd 'em' font sizing in all browsers.\n*/\n\ncode,\nkbd,\nsamp,\npre {\n font-family:\n ui-monospace,\n SFMono-Regular,\n Consolas,\n 'Liberation Mono',\n Menlo,\n monospace; /* 1 */\n font-size: 1em; /* 2 */\n}\n\n/**\nAdd the correct font size in all browsers.\n*/\n\nsmall {\n font-size: 80%;\n}\n\n/**\nPrevent 'sub' and 'sup' elements from affecting the line height in all browsers.\n*/\n\nsub,\nsup {\n font-size: 75%;\n line-height: 0;\n position: relative;\n vertical-align: baseline;\n}\n\nsub {\n bottom: -0.25em;\n}\n\nsup {\n top: -0.5em;\n}\n\n/*\nTabular data\n============\n*/\n\n/**\n1. Remove text indentation from table contents in Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=999088, https://bugs.webkit.org/show_bug.cgi?id=201297)\n2. Correct table border color inheritance in all Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=935729, https://bugs.webkit.org/show_bug.cgi?id=195016)\n*/\n\ntable {\n text-indent: 0; /* 1 */\n border-color: inherit; /* 2 */\n}\n\n/*\nForms\n=====\n*/\n\n/**\n1. Change the font styles in all browsers.\n2. Remove the margin in Firefox and Safari.\n*/\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n font-family: inherit; /* 1 */\n font-size: 100%; /* 1 */\n line-height: 1.15; /* 1 */\n margin: 0; /* 2 */\n}\n\n/**\nRemove the inheritance of text transform in Edge and Firefox.\n1. Remove the inheritance of text transform in Firefox.\n*/\n\nbutton,\nselect { /* 1 */\n text-transform: none;\n}\n\n/**\nCorrect the inability to style clickable types in iOS and Safari.\n*/\n\nbutton,\n[type='button'],\n[type='reset'],\n[type='submit'] {\n -webkit-appearance: button;\n}\n\n/**\nRemove the inner border and padding in Firefox.\n*/\n\n::-moz-focus-inner {\n border-style: none;\n padding: 0;\n}\n\n/**\nRestore the focus styles unset by the previous rule.\n*/\n\n:-moz-focusring {\n outline: 1px dotted ButtonText;\n}\n\n/**\nRemove the additional ':invalid' styles in Firefox.\nSee: https://github.com/mozilla/gecko-dev/blob/2f9eacd9d3d995c937b4251a5557d95d494c9be1/layout/style/res/forms.css#L728-L737\n*/\n\n:-moz-ui-invalid {\n box-shadow: none;\n}\n\n/**\nRemove the padding so developers are not caught out when they zero out 'fieldset' elements in all browsers.\n*/\n\nlegend {\n padding: 0;\n}\n\n/**\nAdd the correct vertical alignment in Chrome and Firefox.\n*/\n\nprogress {\n vertical-align: baseline;\n}\n\n/**\nCorrect the cursor style of increment and decrement buttons in Safari.\n*/\n\n::-webkit-inner-spin-button,\n::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n1. Correct the odd appearance in Chrome and Safari.\n2. Correct the outline style in Safari.\n*/\n\n[type='search'] {\n -webkit-appearance: textfield; /* 1 */\n outline-offset: -2px; /* 2 */\n}\n\n/**\nRemove the inner padding in Chrome and Safari on macOS.\n*/\n\n::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n1. Correct the inability to style clickable types in iOS and Safari.\n2. Change font properties to 'inherit' in Safari.\n*/\n\n::-webkit-file-upload-button {\n -webkit-appearance: button; /* 1 */\n font: inherit; /* 2 */\n}\n\n/*\nInteractive\n===========\n*/\n\n/*\nAdd the correct display in Chrome and Safari.\n*/\n\nsummary {\n display: list-item;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/settings/fontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/fontfamily",
"text": "system-ui, -apple-system, \"Segoe UI\", Roboto, Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\""
},
"$:/themes/tiddlywiki/vanilla/settings/codefontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/codefontfamily",
"text": "\"SFMono-Regular\",Consolas,\"Liberation Mono\",Menlo,Courier,monospace"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment",
"text": "fixed"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize",
"text": "auto"
},
"$:/themes/tiddlywiki/vanilla/sticky": {
"title": "$:/themes/tiddlywiki/vanilla/sticky",
"text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n\n``\n<$list filter=\"[range[100]]\">\n`.tc-story-river .tc-tiddler-frame:nth-child(100n+`<$text text=<<currentTiddler>>/>`) {\nz-index: `<$text text={{{ [[200]subtract<currentTiddler>] }}}/>`;\n}\n`\n</$list>\n</$reveal>\n"
}
}
}
Мысли, после прочтения заметки [[Интересный недостаток в теории когнитивных нагрузок]], которое является кратким эссе исследования [[Расширение теории когнитивной нагрузки для включения истощения ресурсов рабочей памяти: свидетельства эффекта интервалов]].
1. …Но не это самое интересное. Они также отметили *более низкую производительность при выполнении задач на рабочую память для "массовой" группы*. Раньше объяснения эффекта интервальной практики основывались на таких идеях, как то, что процесс попытки извлечь что-то, о чем начинают забываться, увеличивает силу извлечения. Это исследование предлагает другой, возможно, дополнительный механизм: *[интервальная практика позволяет избежать когнитивного истощения]*.
::Todo надо изучать работу ДП с этой точки зрения::
2. Авторы также отмечают намеки в предыдущих экспериментах на то, что **[истощение может быть в значительной степени специфичным для домена]**. Если так, это будет иметь последствия для учителей, потому что мы могли бы избежать истощения, переключая типы задач. ::TODO развить идеи этих намёков:: что является причиной истощения? Уровень глюкозы? Почему переключение снижает истощение? Это какой-то защитный механизм долгосрочной памяти - быстро не запоминать?
Эта гипотеза связана с предыдущим тезисом. Если это так, то мы можем включить в учебный процесс квази-переключение доменов, но рассматривая одну и ту же тему под разным углом. Это может снизить эффект, когда [[истощение может быть в значительной степени специфичным для домена]
3. TODO Была идея перехода информации из категории первичный навык во вторичный. И типа поэтому мы учимся лучше. Надо исследовать эту тему
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
https://www.gamasutra.com/blogs/MattiaPodini/20210415/379705/7_Nudges__Manipulative_Techniques_present_in_Undertale.php
Действия пользователя в авторской среде могут иметь якобы свои собственные цели, но собственные мотивы авторов будут влиять на эти цели и окрашивать их. Когда цели авторов и участников совпадают, авторы могут создавать мощную среду; когда они не выровнены - среды не будут согласованы.
В научно-популярной литературе, например, могут быть некоторые примеры, призванные мотивировать тему и вызвать у читателей интерес к ее значению. Если автор книги пишет, потому что он переполнен энтузиазмом по поводу предмета и чувствует себя обязанным поделиться им, это улучшит прозу примеров. Напротив, бескорыстный автор учебника, писавший из-за обязательства, подорвет цель прозы, призванную передать энтузиазм.
Haskell утверждает, что он является готовым к работе языком программирования корпоративного уровня, как и Python. Он не упускает никаких очевидных функций для программирования «в реальном мире». Но разработчиков языка в первую очередь мотивируют его теоретические свойства, и эта цель тонко просматривается во всех швах. Несмотря на попытки обратного, Haskell - это прежде всего [[Благоприятная (стимулирующая) среда]], позволяющая исследователям более эффективно думать об этой ветви теории языков программирования; это не особенно эффективная среда, позволяющая людям создавать программное обеспечение. Smalltalk - похожая история.
Spore позиционирует себя как экшн / приключенческая игра, в которой вы можете создавать свои собственные формы жизни, а затем покорять галактику. Но насколько я могу судить, его создатели в первую очередь руководствовались механизмами моделирования и процедурной генерации. Эти элементы игры конкретизированы и увлекательны, но «основной» игровой процесс кажется второстепенным.
Майкл Нильсен указывает, что в программе Apollo цель "добраться до космоса" была превыше всего (см. также [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]). Это также была авторская среда: ее менеджеры разработали процессы и атмосферу, чтобы осуществить это стремление. Несомненно, была и бюрократия: была ли она уменьшена за счет выхода в космос?
Я не уверен, насколько это правда, но, судя по анекдотам, авторы, которых я знаю, которые опубликовали как печатные версии, так и версии EPUB, зарабатывают гораздо больше на продаже первых. Предположительно, это проблема объема, а не структуры роялти или чего-то в этом роде: [[Популярность электронного чтения резко уступает всем книгам]].
Этот термин описывает агентов, которые пассивно извлекают и отображают полезную информацию в зависимости от действий пользователя.
Например, Remembrance Agent - это расширение Emacs, которое просматривает содержимое текущего документа (рядом с курсором?) И находит похожие документы, сообщения электронной почты и т. Д.
Margin Notes - это агент, который добавляет на веб-страницы ссылки на личные файлы, которые могут иметь отношение к делу.
Связанный: [[Периферийное зрение]]
!!!References
Rhodes, B. J., & Maes, P. (2000). Just-in-time information retrieval agents. IBM Systems Journal, 39(3.4), 685–704. https://doi.org/10.1147/sj.393.0685
В частности, в области TODO[Взаимодействие человека с компьютером] и TODO[Образовательные технологии] академическая работа часто включает создание программных систем, которые воплощают идеи исследователей. Это может хорошо работать для вычислительных идей, но когда идеи касаются интерфейсов, эти системы обычно выполняются со слишком низкой точностью, чтобы глубоко понять их широкое влияние в аутентичных средах (напротив, [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]).
Я подозреваю, что этому есть две причины:
# Создание хорошо продуманных программных систем требует обширных навыков и неявных знаний, которые, как правило, приобретаются за годы работы в отрасли.
# Эти системы обычно разрабатываются аспирантом в рамках исследовательского проекта. Часто каждый ученик строит свою собственную систему, чтобы не накапливать; или каждый студент строит какую-то систему, которую лаборатория развивала, но почти не поддерживала в течение последнего десятилетия, которая имеет столько технических и конструкторских долгов, что делает качество невозможным.
Выступая публично, как исследователи, так и предприниматели стремятся представить самую радужную картину своей работы. Это часто приводит к пагубным чрезмерным притязаниям ( устранение порочности внутри ) и менее личным, более деловым отношениям с другими. Интересным противоядием является активная практика «анти-маркетинга»: публично сосредотачиваться на наименее радужных частях своих проектов - на том, что сбивает с толку, что расстраивает, что не работает.
Если вы ставите своей целью анти-маркетинг, тогда интересные проблемы становятся положительным моментом: пища для публичного обсуждения, а не то, что нужно скрывать. По крайней мере, большую часть времени вы должны быть сосредоточены на самых серьезных проблемах вашего проекта, а не на том, что идет хорошо. Я подозреваю, что это также создает более глубокие и подлинные отношения с аудиторией (см. [[Работать с "поднятыми воротами гаража"]]
Этот термин был введен (насколько мне известно!) Майклом Нильсеном в ноябре 2019 года.
Q. Каким образом Майкл сосредоточивает публичное обсуждение на наименее радужных элементах своих проектов?
А. Антимаркетинг.
Аудиокниги создаются в удивительно разнообразном организационном контексте.
* ''Издатели'' выпускают аудиокниги для рынка наряду с печатными выпусками книг, которые они публикуют.
* ''Дистрибьюторы'', такие как Audible, организуют выпуск аудиокниг уже изданных печатных книг.
** Они также заказывают оригинальные аудиокниги.
* ''Авторы'' заказывают или самостоятельно создают аудиокниги.
* ''Фрилансеры'' выпускают аудиокниги в ответ на комиссионные или вознаграждения на таких рынках, как ACX.
* ''Добровольцы'' коллективно выпускают аудиокниги с открытой лицензией.
Обратные ссылки
* [[Трехэтапная модель развития талантов Блума]]
** Бенджамин С. Блум (1985) характеризует три важных этапа в развитии юношеских талантов:
# Учащегося знакомят с занятием в приятном, часто игровом контексте. Они могут продемонстрировать «обещание», побуждая родителей дать четкие инструкции.
# Студент начинает целенаправленную программу совершенствования, участвуя в обучении и практике.
# Студент обязуется изучать этот вид деятельности на дневном отделении, часто для этого посещая специальную академию. На этом этапе студент зарабатывает себе на жизнь профессионально.
[[Таксономия Блума]]
* Классическая таксономия учебных задач Бенджамина С. Блума . В современном виде:
Согласие прочитать лекцию по какой-либо теме часто является отличным способом подтолкнуть себя к тому, чтобы узнать и извлечь из нее как можно больше.
Это инструмент приверженности, позволяющий установить реальную временную шкалу в иначе туманном процессе. Это также способ создания более сильной эмоциональной связи с материалом, что, в свою очередь, может помочь вам понять его более глубоко: [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].
Эта стратегия кажется наиболее полезной, когда вы что-то понимаете лишь умеренно хорошо. Если вы еще этого не понимаете, давление может просто подтолкнуть вас к кристаллизации поверхностного мышления; если вы поймете это очень хорошо, у вас меньше шансов получить эмоциональную связь с классом по этой теме.
По теме: [[Лучшее время для написания темы вашей лекции - это примерно то время, когда вы ее читаете]].
Благоприятная среда значительно расширяет возможности участников делать то, что они считают значимым и важным.
Школы якобы стремятся к этой цели, но [[Цели обучения часто подрывают себя]] в значительной степени потому, что [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]. В целом, [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]].
Многие другие социальные институты представляют собой мощную благоприятную среду. Высокофункциональные корпорации часто являются прекрасным примером благоприятной среды. В этих организациях новые сотрудники могут чувствовать себя гораздо более личными, чем когда-либо прежде, даже после многолетнего опыта. Точно так же [[Y Combinator]] - это благоприятная среда.
Отличные программные среды - это благоприятные среды. Photoshop расширяет диапазон художественного самовыражения экспертов и открывает для новичков ранее использованные методы улучшения фотографий. Инструменты разработки программного обеспечения позволяют подросткам создавать игры и распространять их среди миллионов людей с нулевыми предельными затратами. Напротив, [[Большинство игр не являются благоприятной средой]], а [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].
Книги и видео редко доставляют сюда: [[Средства массовой информации, как правило, плохо помогают людям воплощать идеи в жизнь]].
Коллекция тесно связанных [[Вечнозеленые заметки]] может быть благоприятной средой для автора: [[Написание вечнозеленых заметок помогает накапливать понимание]]. (см. также [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]])
!!!Создание благоприятных условий
Благоприятные среды обычно создаются авторами, но [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]. [[Авторская среда значительно окрашена мотивами авторов]]; это часто означает, что [[Мощные благоприятные среды сосредоточены на использовании экспертами]].
[[Проектирование новых благоприятных условий можно представить как проектирование университета ++]]
!!!Проблемы создания благоприятной среды:
[[Благоприятная среда сосредоточена на том, что включено]]
Некоторые механизмы для проектирования этих сред
* дизайн-представления, которые расширяют диапазон действий для существующего опыта / усилий участника; например:
** Инструмент изменения размера Photoshop с учетом содержимого
** контрольные списки в самолетах / больницах
* дизайнерские представления, расширяющие верхние границы возможностей участников; например:
** арабские цифры
** нелинейное редактирование видео
* дизайнерские представления, которые включают в себя выразительный диапазон существующих представлений, но с меньшими / другими требованиями к усилиям / знаниям; например:
** Инструмент Безье векторной сети Figma против инструмента пера Photoshop
** автоматический подсчет удержаний в Rust и Objective-C по сравнению с ручным подсчетом удержаний
* дизайнерские представления, которые включают в себя выразительный диапазон существующих представлений, но с более плавными усилиями / опытом на пандусах; например:
** SICP
** 3D-редактор Minecraft против ранее существовавших редакторов вокселей
** (многие существующие среды здесь, такие как SICP и большинство исполняемых записных книжек, слабо взаимодействуют с тем местом, где происходит разрешенное действие, что значительно ограничивает их возможности)
** (вот возможность для динамических [[Когнитивный каркас]], [[Реализованный опыт усиливает силу повествования]] и некоторые другие элементы дизайна для начинающих)
Отличная исследовательская лаборатория не зацикливается на том, чтобы прививать своим аспирантам массу конкретных знаний и навыков. Она создает большие возможности для личностного роста и подсвечивает мосты (маяки) к возможностям для действий, основанных на этом росте. Как правило, это верно в отношении эффективной [[Благоприятная (стимулирующая) среда]].
Критически важно, что такая среда не о стимулировании роста ради роста . Основатели [[Y Combinator]] в первую очередь пытаются создать успешную компанию, а не достичь личного роста ([[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]). И поскольку окружающая среда способствует личностному росту, она обычно делает упор на конечную цель во всём (in all things) (например, на обеспечение успеха этого стартапа), вместо того, чтобы фокусироваться на «практике».
Эта эвристика дает нам новый способ просмотра существующих медиа. Например, книги редко фокусируются на создании возможностей для личностного роста или действий: они обычно посвящены передаче знаний в абстрактном контексте. Это приводит нас к убедительной подсказке:
Что значило бы разрабатывать «книги», которые в первую очередь посвящены созданию возможностей роста для людей и мостам к возможностям действий, основанных на этом росте?
В хорошей [[Благоприятная (стимулирующая) среда]] , такой как сильная корпорация или Minecraft, деятельность в основном включает в себя *выполнение* того, что позволяют эти среды.
Напротив, большинство книг (даже исполняемых книг) не предполагают *выполнения* того, о чем они говорят. Действия этих сред связаны с тем, о чем они говорят - чтением о баскетболе, а не игрой в баскетбол. Они находятся в стороне от действия, и это делает их менее способными задействовать своих участников.
Это естественный побочный продукт наблюдений более высокого уровня, описанных в разделе [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]] и [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]] .
Акцент на действиях сохраняет честность авторов среды. Это заставляет их сосредоточиться на элементах, которые дают возможность действовать. Это держит деятельность сосредоточенной вокруг внутренне значимых целей ([[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]], а не более абстрактных целей.
Действия, *выполняющие* то, что включено, как правило, создают больше личной связи, чем действия *о* том, что включено. Эта связь важна: [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].
Благоприятная социальная среда может расширить охват участников, помогая им развивать идеи друг друга. Этот эффект будет ограничен, если социальная активность будет *касаться* только того, что включено. Обеденная дискуссия с коллегой может быть довольно полезной, но если вы найдете его идеи поразительными, вы, вероятно, найдете сотрудничество с коллегой гораздо более благоприятным (с точки зрения среды).
Одна из проблем здесь заключается в том, что [[Новички в благоприятных средах часто не умеют делать то, что разрешено]].
На самом деле, это часть того, что *удерживает*новичков.
Собственно, это часть того, что удерживает новичков в новичках. Как только новички могут участвовать в некоторой степени, тогда среда может интегрировать мощные динамические каркасы, чтобы включить их в дальнейшем (см. [[Метакогнитивная поддержка как как когнитивная опора]]). Например, тренер может предложить, какие упражнения лучше всего помогут спортсмену достичь своих целей в данный день ([[Метакогнитивная поддержка как как когнитивная опора]]). Однопользовательский опыт Minecraft развивает строительные навыки игроков, скрывая все более сложные материалы в местах, для достижения которых требуется прогрессирующее мастерство.
See e.g. Understanding by Design
Надо сделать заметку, как наберу материал
Это является частью [[Детальное кодирование]]
Интерактивные диаграммы и небольшие встроенные симуляции песочницы в исследуемых объяснениях могут помочь автору донести свою точку зрения, но они редко полезны в качестве независимой среды для размышлений читателя. Основная цель этих элементов - помочь читателю более эффективно понять суть того, что автор хочет донести до них.
Авторы часто на словах признаются в открытости исследования и решение проблем.. Один из распространенных приемов - дать читателю песочницу в конце статьи. Это редко приводит к чему-нибудь интересному. Это потому, что такие среды в первую очередь предназначены для того, чтобы помочь автору донести свою точку зрения, а не в качестве общеполезной среды, помогающей читателю (или автору) думать о проблемах в этой области. (См. Раздел [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]], а [[Авторская среда значительно окрашена мотивами авторов]]).
Я думаю, что это часть того, почему возможные объяснения и подобные средства массовой информации, похоже, не способствуют созданию благоприятной среды для читателей, хотя уже созданы десятки таких сред. Они поразительны, их часто интереснее читать, чем обычные статьи, а динамические элементы часто облегчают понимание автора, но "никто не уходит от статьи с динамической средой в кармане", так сказать.
«Апплеты» вроде [[PhET|https://phet.colorado.edu/en/simulations/filter?type=html&sort=alpha&view=grid]], казалось бы, решают эту проблему, но они попадают в более глубокую трещину: слишком мелкую для серьезного размышления; слишком сложно передать что-либо без повествования. (См. [[«Рассказанные исследования: три ментальные модели»|https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1]] для получения дополнительной информации по этому последнему пункту).
!!!Конкретные примеры
Земля: A Primer впечатляет во многих отношениях, но все же становится жертвой этой проблемы. Его геологические модели были разработаны таким образом, чтобы они были веселыми, интересными и полезными для общения. Они не были предназначены для размышлений о проблемах геологии. Так что с ними весело играть, но не более того.
Блокноты Mathematica и другие [[Исполняемые книги]] принимают другое направление. Эти среды предназначены в первую очередь для размышлений о сложных проблемах; общение - второстепенная задача. Это показывает!
[[Cantor]] - еще один контрпример. Эти числовые блоки были разработаны «сначала в песочнице», чтобы облегчить открытое исследование количества. Поэтому, когда они встраиваются в статью в виде интерактивных фигур, им требуются дополнительные функции, расположенные сверху (записанные взаимодействия, голос за кадром и т. д.), чтобы их можно было использовать для общения.
!!!References
Tweetstorm about this: https://twitter.com/andy_matuschak/status/1305264246331039744
Farrar, S., Khoe, M.-L., & Matuschak, A. (2017, August 31). Numbers at play: Dynamic toys make the invisible visible. Retrieved December 31, 2019, from https://early.khanacademy.org/cantor/
Gingold, C. (2015). Earth: A Primer. Retrieved from https://www.earthprimer.com
Matuschak, A. (2018, October 27). Narrated explorables: Three mental models. Retrieved December 31, 2019, from https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1
[[Игры эффективно развивают навыки игроков]], поэтому заманчиво думать о хорошей игре как о [[Благоприятная (стимулирующая) среда]], но они редко «открывают или значительно расширяют возможности игроков делать то, что они считают значимыми и важными». Основная цель большинства игр - создать эстетический или эмоциональный опыт. Этот опыт может быть чрезвычайно мощным (вот почему [[Развитие навыков в играх подчинено другим внутренне значимым целям]]), но обычно он не расширяет возможности игрока делать вещи, которые они считают значимыми и важными. По теме: [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].
!!!Контрпримеры
Minecraft - интересный контрпример: однопользовательский режим содержит обширный [[Когнитивный каркас]], который позже позволяет осуществлять бесконечные значимые действия в «творческом» режиме. Многие люди используют этот режим для серьезного творческого самовыражения. Если бы у всех этих людей был Blender или Maya, многие из них никогда бы ничего не сделали.
Структурированная социальная среда многопользовательских онлайн-игр может позволить людям общаться между собой и формировать сообщества. Многие игры могут сделать это даже для изолированных или интровертированных людей.
!!! Большинство людей делают только временные заметки
В отличие от [[Вечнозеленые заметки]] , [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]] . Их очень удобно писать, но через год написания таких заметок у них будет просто куча разобщенных заметок. Заметки ничего не сложили: они больше похожи на топливо, написаны и отброшены, чтобы помочь автору обработать свой текущий опыт.
Временные заметки являются ценными скретчпадами для временной поддержки рабочей памяти, но [[Знания должны срастаться]] , поэтому мы должны рассматривать их как «беспорядочные» входные данные для заметок, которые они сообщат (Khoe).
Это одна из причин, по которой [[Практика написания заметок у людей, как правило, неэффективна]].
# Ссылки
Кхо, М.-Л. (2016, 21 декабря). Грязная мысль, аккуратная мысль. Получено 17 сентября 2019 года с сайта Khan Academy Early Product Development: https://klr.tumblr.com/post/154784481858/messy-thought-neat-thought
Люди не хотят забывать идею, беседу, задачу или цитату из книги, поэтому они записывают ее в Evernote или что-то в этом роде. Какая цель? Возможно: «Чтобы убедиться, что я не забыл». Может быть: «Просто записав это, я помню».
В этой концепции заметки - это способ [[Закрыть открытые петли]]] , а не накапливать понимание. «Настоящая» работа происходит за пределами заметок; заметки - это просто справочная система, в которой хранится информация, которая может помочь, или куча «беспорядочных» мыслей, которую можно записать один раз (Khoe, M.-L.). Это не [[Вечнозеленые заметки]] . Большинство «ориентированных на хранение» заметок больше никогда не будут полезны ([[Большинство людей делают только временные заметки]] ). Что еще более важно, в этой рамке упускает из виду, что написание заметок может *быть*«настоящей» работой ([[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]).
!!!References
Khoe, M.-L.. (2016, 21 декабря). Грязная мысль, аккуратная мысль. Получено 17 сентября 2019 года с сайта Khan Academy Early Product Development:
https://klr.tumblr.com/post/154784481858/messy-thought-neat-thought
https://klr.tumblr.com/post/154784481858/messy-thought-neat-thought
* [[Знания должны срастаться]], но большей частью из прочитанного этого не происходит.
** [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]]
** [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]], но большинство людей этого не делают.
*** Из тех, кто это делает, [[Практика написания заметок у людей, как правило, неэффективна]]
*** Однако! [[Самые эффективные читатели и мыслители, которых я знаю, не делают заметок при чтении]]
* [[Умелое чтение обычно нелинейно]], но большинство людей читают линейно.
[[Обучение требует метапознания]]. Узнавая что-то новое из текста, читатели должны постоянно спрашивать себя: понял ли я это? какие вопросы я могу задать себе, чтобы проверить свое понимание? я должен перечитать этот отрывок? мне следует обратиться к справочной информации об этом? и т.п.
Другими словами, читатели должны запускать свои собственные циклы обратной связи. Когда читатели сосредоточены на сложном материале объектного уровня, они могут оказаться не в состоянии эффективно выполнять этот вид метапознания; И наоборот, слишком много усилий, затрачиваемых на оценку, планирование и исполнительный контроль, может затруднить взаимодействие со сложным материалом объектного уровня.
С видеоформатами ситуация, пожалуй, немного хуже. В книгах читатели полностью контролируют темп, но в видео есть темп по умолчанию, и зрители должны принять активное решение его изменить.
Моя теория относительно того, почему это правда: [[Метакогнитивная поддержка требует совместной динамической среды]].
!!!References
Matuschak, A. (2019). Why books don’t work. Retrieved from https://andymatuschak.org/books
Наставление. Когда я теряюсь в крошечных деталях, сосредотачиваюсь на выполнении, а не на размышлениях и вопросах общей картины, я пытаюсь напомнить себе, что мне нужно проявлять любопытство. Мой режим по умолчанию, так как я столько лет проработал технологом, - это сосредоточиться на задачах, на их выполнении, на выполнении. Это часто необходимо для осмысленной интеллектуальной творческой работы, но, безусловно, недостаточно. Слишком большая концентрация на делах вытеснит экспансивное мышление, которое генерирует новые идеи. [[Трудно услышать свои собственные мысли]].
Например, когда я писал о том, как сформулировать подсказки с интервалом повторения для представления знаний в виде списка, я заметил, что работаю в довольно тупой, ориентированной на исполнение манере. Работа казалась безжизненной. Я понял, что в том, о чем я писал, есть много открытых вопросов, и перефразировал свою работу с «записать то, что я бегло знаю по этой теме», на «попытаться ответить: как изучаются списочные знания с когнитивной точки зрения? как следует развивать этот тип знаний с помощью систем интервального повторения? » Я испытал «переворот», как классический обмен вазой / лицом, и внезапно работа снова стала жизненно важной: мне было любопытно найти ответы на эти вопросы, и я продвинул свое понимание темы вперед.
По теме: [[Сфокусированная работа по разработке программного обеспечения - это самоотречение]]
:: TODO эту заметку следует преобразовать в несколько других заметок
Одна вещь, которая отличает [Динамическая среда] от других форм, заключается в том, что она имеет собственное поведение и реагирует при взаимодействия с ней. В отличие от других форм мультимедиа, почти все динамические носители постоянно ведут себя и реагируют одинаково. Опыт пользователей со временем меняется, поскольку они растут и по-разному взаимодействуют со средой, но это редко бывает спроектированным свойством. В динамических средах отсутствует практика общения с созданным измерением времени.
В фильмах и книгах, напротив, режиссеры и авторы тщательно моделируют и формируют опыт участников в процессе работы. Часто это принимает форму повествования, которое может создать эмоциональную связь или помочь людям постепенно понять сложные темы ([[Повествование как когнитивная опора]]). Не существует повествовательной формы, присущей динамическим средам.
!!!Проза, чередующаяся с динамической средой, создает разрозненный опыт
Один из распространенных подходов - чередование кратких взаимодействий с динамическими медиа в прозе (например, Харт и Кейс, Патель. Виктор (2010) особенно детализирован, хотя на самом деле он не пытается быть повествовательным). Такой подход к повествованию кажется совершенно несовместимым: две формы были склеены вместе, а не превратились во что-то новое.
Поверхностная версия этой проблемы состоит в том, что текст и динамические элементы почти всегда физически разделены, а не визуально интегрированы. Взгляд читателя мечется между текстом и интерактивными элементами, привязывая ссылки к объектам и перемешивая рабочую память. Это проблема и со статическими фигурами; решения, описанные, например, Tufte в основном не применяется в динамической области.
Ощущении от неровности такой ткани повествования более тонкие. Чтение прозы сильно отличается от взаимодействия с интерактивными элементами. Я думаю, что это в основном из-за резких изменений в позиции участия: это немного похоже на то, как кто-то просит вас переключаться между пассажирским сиденьем (проза) и сиденьем водителя (динамические элементы) каждую минуту или две.
Одна из причин, по которой такая подмена доставляет неудобства, заключается в том, что вы знаете, что вам нужно водить машину лишь несколько минут за раз. Когда проза и взаимодействие таким образом чередуются, взаимодействия с динамическими носителями обычно кратковременны по замыслу. Степень детализации должна быть достаточно высокой, чтобы читатели могли легко запомнить рекомендации, представленные в предыдущем тексте. Это делает интерактивные моменты поверхностными и снижает приверженность. Вы знаете, что не пробудете там долго; это не среда для самостоятельной серьезной творческой работы. Это больше похоже на иллюстрацию - и это нормально, - но авторы динамической среды часто стремятся создать более мощную [[Благоприятная (стимулирующая) среда]]. Некоторые авторы добавляют «режим песочницы» в конце своих статей, но это не смягчает поверхностность, которая ощущается в повествовании.
Еще одна проблема с чередованием прозы заключается в том, что текстовое повествование полностью игнорирует ваше взаимодействие с динамическими элементами. Автор предлагает что-то попробовать - ты сделай это; затем авторский текст продолжает свой ход, независимо от того, что вы только что сделали. Это эмоционально отчуждает, как разговор с автоматизированным телефонным деревом. Иногда голос робота говорит что-то вроде того, что вы просили, и так же часто он безмятежно декламирует non sequitur //(нерелевантный довод, термин для обозначения логической ошибки, где предоставленный довод не связан с заключением)//. Никто не ожидает, что прозаическое повествование будет естественным образом следовать за их мыслями и действиями, но когда динамическая среда ведет себя и реагирует - когда автор пытается создать [[Среда участия]] - межличностная дистанция соседнего текста увеличивается. Писатели стараются невероятно сопереживать мыслям и чувствам своих читателей. Эти динамические среды непреднамеренно усложняют эту работу - возможно, слишком трудной для среды.
Эти проблемы очень похожи на трудности, с которыми сталкиваются инструкции по эксплуатации настольных игр.
!!!Настольные игры страдают теми же проблемами; видеоигры - нет
И настольные игры, и видеоигры должны сообщать объяснение и повествование, но то, как эти две среды общаются, дает очень разные ощущения.
Когда вы играете в новую настольную игру, вы можете достать инструкции из коробки и прочитать их в течение нескольких минут, затем настроить игру, а затем попытаться запомнить инструкции во время игры. Во время первой игровой сессии вы неизбежно будете возвращаться к инструкциям каждые пару минут. Этот опыт ужасно неровный, со многими из тех же проблем, что и проза, перемежающимися с динамическими взаимодействиями. Вам может казаться, что вы постоянно пытаетесь вспомнить, что вы «должны делать». Вы можете «потерять свое место» как в тексте, так и в игре, если переключите фокус. У вас могут возникнуть проблемы с эмоциональной привязанностью к игре, если вы знаете, что сможете поиграть всего несколько минут, прежде чем вернуться к руководству. Голос руководства кажется весьма далеким от того, что на самом деле происходит на игровом поле.
Хорошие видеоигры обычно избегают этих проблем, достигая тех же целей.
Видеоигры часто общаются голосом, а не текстом. Иногда озвучка появляется в неинтерактивных роликах, резко отграниченных от обычной игры, но лучшие примеры (например, Portal) представляют повествование как цельный элемент интерактивной среды, никогда не «отнимая» камеру или элементы управления у игрока. Глаза и внимание игроков не переключаются между инструкциями и взаимодействием в этих играх. Чтобы поддержать память игроков, такие игры могут также добавлять короткие текстовые фразы - опять же, интегрированные в игровую среду, - но они обычно действуют как резюме. Они являются указателями на предыдущий «живой» опыт, а не собственными первичными элементами повествования.
Поскольку повествовательная коммуникация интегрирована в среду, она может вести себя и реагировать так же, как и остальные элементы среды. В хороших играх авторское повествование ощущается - постоянно - как реакция на действия игроков (т.е. [[Реализованный опыт]]; см. также [[Реализованный опыт усиливает силу повествования]]. Это чувство резко контрастирует с неприятным ощущением дистанции, которое ощущается в прозаическом повествовании, представленном рядом с интерактивной средой. Конечно, динамическая среда означает, что повествование может меняться в зависимости от действий игроков, но это сложно и плохо понимается. Хорошие повествования в видеоиграх кажутся естественными, интегрированными в интерактивную среду, несмотря на то, что они часто полностью статичны.
!!!Ориентация на динамическую среду, а не на повествование
Примеры, которые я привел до сих пор, с динамическими средствами массовой информации в основном сосредоточены на повествовании. В основном они похожи на статью; текст доминирует над опытом. Динамические представления существуют для поддержки повествования; они редко предназначены для того, чтобы быть мощной средой для размышлений, помимо текста.
Даже в более амбициозных попытках исследований, таких как «Визуализирующие кватернионы» Сандерсона и [[Narrated explorable]], «текст» является первичным. Динамическое представление не предназначено для того, чтобы быть постоянной средой, поддерживающей дальнейшую творческую работу зрителя (подробнее об этом см. Матущак (2018)).
Интересно подумать об изменении этой динамики, так же как видеоигры сосредотачиваются на окружающей среде и представляют повествование как временное наложение. Вместо статьи о программировании с небольшими встроенными игровыми средами, плавающими рядом с текстом, среда программирования с естественными возможностями для повествования. Это могло бы решить некоторые из описанных выше проблем. Что еще более важно, он серьезно использует первоочередное внимание при разработке динамического представления ([[Мощные благоприятные среды сосредоточены на использовании экспертами]].
Twitch интересным образом демонстрирует возможности. Это не повествование, которое вы испытываете сами, но очень интересно увидеть, как эксперт говорит, сосредоточившись на собственной (динамичной) экспертной среде.
Twitch также демонстрирует потенциальную ценность отделения автора динамического носителя (например, Adobe) от автора повествования (например, стримера). Прямо сейчас повествовательные динамические среды почти всегда совмещают эти роли. В этом есть свои преимущества, но исполняемые блокноты начинают демонстрировать сюрпризы, которые могут возникнуть в результате расширения авторства.
Подробнее о возможном механизме: [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].
::TODO
* Прецедент [[Иллюстрированный The Primer "Юная леди»]]
* [[Исполняемые книги]] имеют многие из тех же проблем, а также несколько других, но с некоторыми преимуществами.
!!!References
Харт В. и Кейс Н. (8 декабря 2014 г.). Притча о многоугольниках. Получено с https://ncase.me/polygons/
Матущак, А. (26 октября 2018 г.). Рассказанные объекты исследования: три ментальные модели. Получено с https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1.
Патель, А. (26 мая 2014 г.). Введение в алгоритм A *. Получено с веб-сайта Red Blob Games: https://www.redblobgames.com/pathfinding/a-star/introduction.html
Сандерсон, Г., и Пожиратель, Б. (2018). Визуализация кватернионов. Получено с https://eater.net/quaternions
Тафте, Э. Р. (1997). Визуальные объяснения: изображения и количества, свидетельства и повествование. Чешир, Коннектикут: Graphics Press.
Valve Corporation. (2007). Портал.
Виктор, Б. (2012, май). Прекратите рисовать мертвую рыбу. Представлено на SF SIGGRAPH. Получено с https://vimeo.com/64895205
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. В какой степени при внедрении таких подсказок нужны традиционные подсказки атомарного отзыва?
Представьте, что мы изучаем курс математического анализа в средней школе, и вы только что узнали, что `e` это функция, производной которой является сама она. Если бы этот урок был написан с использованием мнемонической среды, мы могли бы задать следующие подсказки для воспоминаний:
"""
Q. Какая функция является собственной производной?
A. `e`
Q. Какая производная `f(x) = e^x?`
А. `e^x`
Но мы также можем представить это как подсказку приложения.
Q. Какая производная `e^8x?`
A. `8e^8x` Объяснение: производная `e^x` сама по себе
Если бы мы задали им только один этот вопрос, я бы не ожидал, что их декларативные знания `e` окажутся твердыми: они, скорее всего, в конечном итоге запомнят ответ на этот вопрос. [[Запросы приложения должны изменяться при повторении]], поэтому представьте, что вместо этого мы также задаем несколько вариантов, например:
Q. Пусть `f(x) = 14e^[x]`. Что есть `df/dx?`
A. `14e^[x]` [[Объяснение: производная e^x сама по себе]]
"""
Представьте, что читатель может решить эту задачу и еще полдюжины других вариантов, и вот уже месяц прошел с момента первоначального урока. Вернемся к предложенным нами подсказкам отзыва. Ожидаем ли мы, что читатель вспомнит: «Какая функция является собственной производной?» Я думаю, что это вполне вероятно ... но я подозреваю, что точность вариантов будет больше коррелировать друг с другом, чем с точностью в подсказке по отзыву.
Понимание `e` с точки зрения его концептуальных свойств отличается от понимания `e` с точки зрения процедуры. Я подозреваю, что включение обоих типов вопросов, вероятно, приведет к более богатому детальному кодированию.
Теперь, ожидаем ли мы, что читатель сможет ответить на предложенное напоминание: «Какая производная от `f(x) = e^x?`» Я ожидал этого с большой вероятностью: в конце концов, этот вопрос можно интерпретировать как тривиальную подсказку приложения, а читатель уже решил более сложные варианты.
Означает ли это, что в этом запросе на отзыв нет необходимости при наличии этих запросов приложения? Подумайте: что, если бы читатель не мог последовательно отвечать на эти запросы приложения? Первый вариант требовал также применения цепного правила (и знания этого `d[kx]/dx = kx`). Второй вариант требовал также понимания синтаксиса `df/dx`. Это более сложные проблемы.
Когда читатель забывает ответ на напоминание, он смотрит на ответ и пытается вспомнить его в следующий раз. Если вопросы элементарные, а расписание хорошо откалибровано, это обычно сработает! Но если читатель не может ответить на подсказку приложения, он не может просто взглянуть на ответ и попытаться вспомнить его в следующий раз: [[Ответы на подсказки приложения не следует извлекать из памяти]].
Но ранее мы говорили, что [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]]! ''Как же так?!''
Читатели должны проанализировать ответ (возможно, включая его объяснение), определить, что они не помнят, и попытаться вспомнить этот фрагмент в следующий раз. Это намного сложнее, чем то, что нужно для отзыва. Читатель, который все еще сомневался в цепном правиле, может не обращать внимания на свою неспособность вспомнить производную от `e^x`. Без отдельных подсказок, ориентированных на отзыв, их ответы в этой подсказке приложения могут оставаться ненадежными в течение некоторого времени.
Было бы очень интересно провести эмпирические эксперименты по этой теме! Как влияет на точность подсказок читателей, когда удерживаются соответствующие напоминания?
Один интересный эмпирический пример - [[Execute Program]]: [[Запросы Execute Program действуют как подсказки приложения и подсказки отзыва]].
https://notes.andymatuschak.org/z3ERHM3aC9jCyTR5KpgxTAyXf7kNSkG57SqrR
Многие исследователи пытаются создать более эффективную [[§Система интервального повторения]], но я считаю, что критически важно оптимизировать //эмоциональную связь// с сеансом обзора и его содержанием - и, наоборот, безжалостно минимизировать элементы, вызывающие скуку. Эти системы, оставленные на произвол судьбы, естественным образом распадаются, чтобы производить послушные сеансы, которые кажутся отключенными от всего, что имеет для вас значение.
Частично это написание хороших подсказок: [[Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?]]. Но этого мало. Чтобы оставаться интересными, сеансы повторения требуют постоянного ухода. Если вы какое-то время не добавляете ничего нового, ваши сеансы будут казаться устаревшими: [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]]. Если вы часто забываете ответ, вам придется рефакторировать вопрос, иначе вы рискуете "закатывать глаза в будущем".
Для меня самый важный вид обслуживания касается меняющихся интересов. Я мог бы наткнуться на интересную статью и написать несколько десятков подсказок, которые помогут мне усвоить детали. Теперь перенесемся на шесть месяцев вперед. В счастливом случае я взволнован, когда эти вопросы повторяются, потому что они снова связывают меня с идеями этой увлекательной статьи, которые теперь кажутся более богатыми через призму моего промежуточного опыта. Большую часть времени я просто благодарен за то, что все еще помню детали. Но иногда я больше не нахожу статью очень интересной; вопросы просто кажутся утомительными. Они превратились в «сиротские подсказки» - [[Избегайте сиротских подсказок с повторяющимися интервалами в памяти]].
Одно из возможных решений: [[Механизм «пропуска» может помочь сеансам системы памяти с интервальным повторением оставаться эмоционально связанными]].
Часть зонтика [[Серьезно относиться к эмоциям]].
"""
Q. Большинство исследователей SRM сосредотачиваются на оптимизации планировщика, но я думаю, что наиболее важно оптимизировать…
A. Эмоциональная связь с сеансом обзора и его содержанием.
"""
!!!References
Patreon post elaborating this topic: “Skip”: exponential-backoff deferral mechanisms and fuzzy inboxes | [[Andy Matuschak on Patreon|https://www.patreon.com/posts/skip-exponential-40672377]]
Все знают, как звучит виртуозная игра на фортепиано. Когда любитель играет, он, естественно, сравнивает себя с записью, которую он слышал - и может довольно болезненно ощущать, насколько можно улучшить! Напротив, когда люди принимают сложные решения, им обычно не хватает интуитивного ощущения, что они дилетанты. Военнослужащих учат принимать стратегические и решительные решения, но это не особенно важно для владельца малого бизнеса. Принятие решений, как абстрактный навык, не появилось бы в меню «Тяжелая атлетика».
Я подозреваю, что это одна из ключевых причин, почему [[Люди обычно развивают навыки до плато, а затем останавливаются]], и, в частности, почему [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]]. Если вы никогда не слышали о [[§Система интервального повторения]], вероятно, не очевидно, что память можно сделать решенной проблемой. Если вы никогда не слышали о [[Вечнозеленые заметки]], вероятно, не очевидно, что [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], но [[Подсказки приложения написать намного сложнее, чем подсказки отзыва]]. Заманчиво попытаться автоматически сгенерировать эти вариации, но на практике это вряд ли сработает.
Например, Майкл отмечает:
::Вычислите результат, когда вы примените вентиль Адамара к ... "по сравнению с" Вычислить значение H (...) ". Этот вид вещей является невероятно ценным вариантом, и его сложно реализовать программно.
В качестве еще одной точки данных, Академия Хана потратила огромные инженерные ресурсы на создание автоматически генерируемых математических упражнений, чтобы их можно было требовать неограниченное количество. Однако на практике авторы-люди справились гораздо лучше, и оказалось, что огромное количество вариаций просто не было необходимо.
Вероятно, будет полезно обратить внимание на методы, которые мы используем при создании вариантов подсказок приложения, и превратить их в своего рода «учебник» для создания будущих вариантов.
Поскольку написание [[Вечнозеленые заметки]] с плотной ассоциативной структурой (см. [[Вечнозеленые заметки должны быть тесно связаны]]) требует, чтобы мы постоянно перечитывал и пересматривали наше прошлое письмо, этот тип ведения заметок приближается к интервальному повторению.
В частности, интервальное повторение соответствует вашим нынешним интересам. Если вы перестанете читать или писать на заданную тему, вы почти никогда не вернетесь к ней. Если вы регулярно читаете или пишете на какую-то тему, вы довольно часто будете возвращаться к предыдущему материалу.
В частности, интервальное повторение соответствует вашим нынешним интересам. Если вы перестанете читать или писать на данную тему, вы в основном никогда не вернетесь к ней. Если вы регулярно читаете или пишете на тему, вы будете довольно постоянно возвращаться к этому предыдущему материалу.
Это не эффективное интервальное повторение с точки зрения памяти: вы на самом деле не пользуетесь [[Эффект тестирования]]. Но он использует что-то вроде [[Эффект генерации]], и это может быть полезной линзой, чтобы подумать об управлении своим вниманием по всему корпусу идей, которые вы накапливаете с течением времени. В частности, эта практика будет поощрять вас неоднократно уделять внимание прошлым идеям, которые кажутся актуальными для вашей текущей работы. И поскольку вы можете столкнуться с тем, что пересматриваете свои заметки об этих прошлых идеях, внимание может потребовать значительных усилий.
Тот же эффект возникает при обслуживании систем, которые включают [[Трансклюзия]].
!!!Ссылки
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг.
Мы узнаем что-то не только тогда, когда мы связываем это с предшествующими знаниями и пытаемся понять его более широкие последствия (разработка), но также когда мы пытаемся извлечь это в разное время (интервал) в разных контекстах (вариация), в идеале с помощью случая (контекстное вмешательство) и с преднамеренным усилием (извлечение). Слип-бокс не только дает нам возможность учиться этим проверенным способом, он заставляет нас делать именно то, что рекомендуется, просто используя его.
Будь то в музыке (Бах, Леннон), искусстве (Пикассо, Бернини), кино (Тарантино, Андерсон), играх (Блоу, Ланц), художественной литературе (Кундера, Толстой), наиболее выдающиеся работы обычно являются результатом творчества одного человека. усилия. Иногда это очень небольшая группа (Имс, Райтс).
Почему это так?
* Сети консенсуса подавляют радикальные идеи
* [[Трудно услышать свои собственные мысли]]
Это наблюдение создает проблемы для [[Инструменты для размышления]], потому что [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]]; см. [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]].
---
!!!References
Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press. Pendleton-Jullian and Brown, Design Unbound (с.133)
Большинство по-настоящему великих работ - это результат работы одного человека в одиночестве в своей студии или творческих лидеров, способных передать свое видение другим. Рассмотрим работы Данте, Сервантеса, Джойса; Бах, Вагнер, Кейдж… Большинство великих произведений созданы одним творческим умом.
Пер Майкл: вы, вероятно, предпочли бы, чтобы вашу скрипку сделал Страдивари, чем Джошуа Белл, но вы, вероятно, предпочли бы услышать игру Джошуа Белла. Каждое занятие - изготовление скрипки и игра на скрипке - требует виртуозного мастерства и целой жизни практики. Маловероятно найти обе способности в одном человеке!
И все же [[Великая творческая работа обычно является продуктом одного человека]]. Это наблюдение создает противоречие. [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]: [Группам, исследующим инструменты для размышления, требуется достаточный потенциал, чтобы создавать прототипы, подходящие для серьезной работы]]. Системные дизайнеры часто недостаточно глубоко разбираются во внешней дисциплине, чтобы обосновать свою работу своими собственными серьезными случаями использования. У предметных экспертов противоположная проблема: [[Академические программные интерфейсы обычно не подходят для серьезного использования широкой аудиторией]].
Итак: [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]].
Вечнозеленые заметки пишутся и организуются для развития, внесения вклада и накопления с течением времени в рамках проектов. Это необычный способ думать о написании заметок: [[Большинство людей делают только временные заметки]] . Это потому, что эти практики не о написании заметок; они связаны с эффективным развитием понимания: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]. Когда эти заметки сделаны хорошо, они могут быть довольно ценными: [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] .
Трудно писать заметки, которые стоит развивать с течением времени. Эти принципы помогают:
* [[Вечнозеленые заметки должны быть атомарными]]
* [[Вечнозеленые заметки должны быть концептуальными]]
* [[Вечнозеленые заметки должны быть тесно связаны]]
* [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]]
Эта концепция в значительной степени развивается из «[[Zettelkasten]]» Никласа Лумана, который он считает независимым интеллектуальным партнером при написании своих 70 книг. См. [[Сходства и различия между вечнозеленым написанием заметок и Zettelkasten]]
!!!Внедрение практики вечнозеленых заметок
См.:
* [[Пишите о том, что вы читаете]]
* [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]]
* [[Почтовый ящик для временных и неполных заметок]]
* [[Исполняемая стратегия письма]]
!!! References
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.
Многие студенты и академические писатели думают, что ранние владельцы судов, когда дело доходит до ведения заметок. Они обрабатывают свои идеи и выводы так, как это имеет непосредственный смысл: если они читают интересное предложение, они подчеркивают его. Если у них есть комментарий, который нужно сделать, они записывают его на поля. Если у них есть идея, они записывают ее в свою тетрадь, а если статья кажется достаточно важной, они прилагают усилия и пишут отрывок. Работая так, вы оставите много разных заметок во многих разных местах. Таким образом, писать означает сильно полагаться на свой мозг, чтобы помнить, где и когда были записаны эти заметки.
Луманн, Н. (1992). Общение с ящиками. В А. Кизерлинг (ред.) и М. Кун (перевод), *Университет мили: Kleine Schriften*(стр. 53–61).
http://luhmann.surge.sh/communicating-with-slip-boxes
Когда у вас есть какие-то подозрения о новой идее, возникает соблазн попытаться сразу же записать идею и развить ее на месте. Но часто это невозможно ни с практической, ни с эмоциональной точки зрения: идея может еще не быть достаточно твердой, чтобы атаковать ее напрямую. Пустая страница может показаться пугающей; претензии все еще могут казаться мягкими.
Вместо этого взращивайте безумную идею и позволяйте ей развиваться с течением времени, постепенно записывая в [[Вечнозеленые заметки]] о мелких аспектах идеи. Эти заметки имеют гораздо более узкий охват: они просто должны описывать одну атомарную концепцию ([[Вечнозеленые заметки должны быть атомарными]], [[Вечнозеленые заметки должны быть концептуальными]]).
Идея даже изначально не должна быть связана с какой-либо ранее существовавшей линией мысли. Но со временем вы можете постепенно подключать его к другим концепциям, старым или новым. См. также: [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]].
Вы можете [[Создавайте спекулятивные контуры во время написания заметки]], чтобы связать эти части воедино, и со временем они срастутся в более связное целое. ([[Заметки должны вас удивлять и давать insights]], а [[Знания должны срастаться]]).
Напротив: [[Мозговой штурм часто может заменить недостающие системы накопления insights]]
Рекомендации
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов научно-популярных книг.
Стивен Джонсон, написавший проницательную книгу о том, как люди в науке и в целом придумывают новые подлинные идеи, называет это «медленным догадыванием». В качестве предварительного условия для использования этой интуиции он подчеркивает важность экспериментальных пространств, где идеи могут свободно смешиваться (Johnson 2011). Лаборатория с непредубежденными коллегами может быть таким пространством, как интеллектуалы и художники свободно обсуждали идеи в кафе старого Парижа. Я бы добавил ящик как такое пространство, в котором идеи могут свободно смешиваться, чтобы они могли рожать новые.
Каждое интеллектуальное усилие начинается с уже существующего предубеждения, которое затем может быть преобразовано в ходе дальнейших исследований и может служить отправной точкой для последующих усилий. По сути, это то, что Ганс-Георг Гадамер называл герменевтическим кругом (Gadamer 2004).
Пирсиг, Р. М. (1991). Лила: Исследование морали. Нью-Йорк: Bantam Books.
Поскольку он не оценивал соответствие новых идей заранее и не пытался привести их в порядок, а просто позволял им течь, эти идеи иногда возникали так быстро, что он не мог записать их достаточно быстро. Предмет, целая метафизика, был настолько огромен, что поток превратился в лавину. Скольжения продолжали расширяться во всех направлениях, так что чем больше он видел, тем больше он видел, чтобы увидеть. Это было похоже на эффект Вентури, который бесконечно втягивал в себя идеи. Он увидел, что есть миллион вещей, которые нужно прочитать, миллион идей, которым нужно следовать… слишком много… слишком много… и недостаточно времени в одной жизни, чтобы собрать все это воедино. Заваленный.
Лучше всего создавать заметки, которые относятся только к одному, но которые, насколько это возможно, охватывают всю эту вещь.
Таким образом, легче формировать связи между темами и контекстами. Если ваши заметки слишком широкие, вы можете не заметить, когда столкнетесь с какой-то новой идеей об одном из понятий, содержащихся в них, и ссылки на эту заметку будут запутанными. Если ваши заметки слишком фрагментированы, вы также фрагментируете свою сеть ссылок, что может затруднить просмотр определенных соединений. [[Вечнозеленые заметки должны быть тесно связаны]]
Здесь нет четкого лакмусового теста или правильного ответа - просто куча компромиссов.
Это понятие очень похоже на принцип *разделения проблем*в области разработки программного обеспечения*,*который предполагает, что модули должны быть «о» только одном, чтобы их было легче повторно использовать. Но также, если вы слишком много фрагментируете модули, у вас возникнет проблема с сплоченности. Таким образом, [[Заголовки вечнозеленых заметок похожи на API]] .
!!Ссылки
"""
[Создать Zettel из заметок для чтения * [[Метод Zettelkasten|https://zettelkasten.de/posts/create-zettel-from-reading-notes/]]
Основной принцип, который я бы назвал **принципом** **атомарности:**сложите вещи, которые принадлежат вместе в *Zettel*, но попробуйте отделить проблемы друг от друга. Например, я мог бы собрать список предположений в одном *Zettel*, который служит обзором. как [[Жесткий детерминизм|http://en.wikipedia.org/wiki/Hard_determinism]].
Связанный с этим аргумент и его заключение будут сохранены в другом *Zettel*. [[Нравственная ответственность при жестком детерминизме|http://en.wikipedia.org/wiki/Moral_responsibility#Hard_determinism]] является хорошим примером. Я могу повторно использовать аргументы, не покупая в предположения, потому что аргументы имеют достаточно общую форму. Атомность способствует повторному использованию, что, в свою очередь, умножает количество соединений в сети Zettels.
"""
Лучше всего разложить [[Вечнозеленые заметки]] по концепции (а не по автору, книге, событию, проекту, теме и т. д.). Таким образом, вы обнаруживаете связи между книгами и доменами по мере обновления и ссылки на заметку с течением времени [[Вечнозеленые заметки должны быть тесно связаны]].
Самый простой способ сделать заметки - начать новую заметку для каждой книги, каждого проекта или каждой темы исследования. Поскольку каждая заметка охватывает множество концепций, может быть трудно найти то, что вы написали, когда концепция появится позже: вы должны помнить название каждой книги или проекта, который касался этой темы (в отличие от этого: [[Вечнозеленые заметки должны быть атомарными]].
Когда вы читаете другую книгу, в которой обсуждается та же концепция, вы напишете новую заметку на эту книгу. При таком подходе нет накопления ([[Знания должны срастаться]]). Ваши новые мысли о концепции не сочетаются со старыми, чтобы сформировать более сильное целое: у вас просто есть рассеянный набор заметок о концепции, возможно, ссылаясь на нее разными именами, каждое из которых встроено в какой-то более крупный документ.
Речь идет не только о накоплении. Также нет никакого давления, чтобы синтезировать ваши новые идеи по концепции с вашими предыдущими мыслями об этом. Между ними есть напряженность? Видна ли какая-то мощная перегонка только тогда, когда все эти идеи рассматриваются одновременно? [[Понимание требует активного вовлечения]]
Если бы мы прочитали две книги на одну и ту же тему, мы могли бы легко связать наши заметки об этих двух вместе. Но новые связи, как правило, появляются там, где их не так ожидают. При организации заметок по концепции вы можете установить удивительные связи между идеями, которые возникли в очень разных книгах. Возможно, вы никогда не замечали, что эти книги были связаны раньше, и, действительно, они могли бы и не быть связаны, за исключением этого момента.
Организация по концепции делает нот-нот немного сложнее, но полезным способом: при написании новых заметок приходится находить, где они вписываются в целое. Поэтому мы исследуем некоторую часть нашей предыдущей сети заметок, которая может привести нас куда-то неожиданное.
Со временем мы накапливаем заметки, которые мы можем объединять все более сложными способами ( [[Заголовки вечнозеленых заметок похожи на API]] для получения новых идей (написание [[Написание вечнозеленых заметок помогает накапливать понимание]].
# Ссылки
[Расширьте свой разум и память с помощью Zettelkasten * Метод Zettelkasten](https://zettelkasten.de/posts/extend-your-mind-and-memory-with-a-zettelkasten)
Когда вы уже разобрали два текста, Zettelkasten поможет вам установить связи между ними, увидеть их сходство и противопоставления. Таким образом, вы сможете перегонять кучу текстов и со временем узнать что-то новое для себя.
вы будете генерировать новые идеи, следуя связям и изучая часть вашей сети заметок. Неявные связи, как правило, более полезны для творческого мышления, чем очевидные, поскольку они вызывают больший сюрприз.
когда вы анализируете текст, вы разлагаете его веб-подобное целое на части и отслеживаете их отношения друг с другом.
Луманн, Н. (1992). Общение с ящиками. В А. Кизерлинг (ред.) и М. Кун (перевод), *Университет мили: Kleine Schriften*(стр. 53–61). Получено с [http://luhmann.surge.sh/communicating-with-slip-boxes](http://luhmann.surge.sh/communicating-with-slip-boxes)
Мы могли бы попытаться обобщить опыт Парижа, Флоренции, Нью-Йорка под общими концепциями, такими как «искусство» или «выставки», или «толпование» (взаимодействия), или «масса», или «свобода» или «образование», чтобы увидеть, как реагирует слипбокс. Обычно плодотворнее искать формулировки проблем, которые связывают между собой разнородные вещи.
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
В старой системе вопрос: под какой темой хранить эту заметку? В новой системе вопрос: в каком контексте я захочу на нее наткнуться снова?
Заметки о Fleeting literature могут иметь смысл, если вам нужен дополнительный шаг, чтобы понять или понять идею, но они не помогут вам на более поздних этапах процесса написания, так как ни одно подчеркнутое предложение никогда не появится, когда оно вам понадобится при разработке аргумента.
Многие студенты и академические писатели думают, что ранние владельцы судов, когда дело доходит до ведения заметок. Они обрабатывают свои идеи и выводы так, как это имеет непосредственный смысл: если они читают интересное предложение, они подчеркивают его. Если у них есть комментарий, который нужно сделать, они записывают его на поля. Если у них есть идея, они записывают ее в свою тетрадь, а если статья кажется достаточно важной, они прилагают усилия и пишут отрывок. Работая так, вы оставите много разных заметок во многих разных местах. Таким образом, писать означает сильно полагаться на свой мозг, чтобы помнить, где и когда были записаны эти заметки. Затем текст должен быть концептуализирован независимо от этих заметок, что объясняет, почему так много людей прибегают к мозговому штурму, чтобы впоследствии организовать ресурсы в соответствии с этой предвзятой идеей.
Если мы заставляем себя добавлять много ссылок между нашими заметками, это заставляет нас широко задуматься о том, какие еще концепции могут быть связаны с тем, о чем мы думаем. Это заставляет тщательно обдумать, как идеи соотносятся друг с другом (см. [[Понимание требует активного вовлечения]], а [[Вечнозеленые заметки должны быть концептуальными]]). Это также поможет вам глубже усвоить идеи с помощью [[Детальное кодирование]].
Чтобы найти правильные ссылки, необходимо прочитать старые заметки, поэтому это также естественный механизм для периодического просмотра написанных нами заметок ([[Ведение вечнозеленой заметки - это интервальное повторение]]). Это может привести к удивительным открытиям ([[Заметки должны вас удивлять и давать insights]]).
И, записывая связи, мы документируем, как мы пришли к нашим выводам, которые могут быть полезны нам (или нашим коллегам) позже. Насколько это возможно, мы должны [[Отдавать предпочтение мелкозернистым ассоциациям]]. Напротив, [[Теги - неэффективная ассоциативная структура]].
Когда вы просто читаете свои заметки, связи предлагают множество путей для перемещения через пространство идей. Есть соблазн использовать иерархическую навигацию, но ссылки пересекают поля и темы. Поэтому необходимо [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]] - это подарит больше insights.
Luhmann, N на самом деле утверждает, что ...
По сравнению с этой структурой, которая предлагает возможности подключения, которые могут быть актуализированы, важность того, что на самом деле было отмечено, второстепенна.
Вам не обязательно давать ссылки на уже написанные заметки: [[Обратные ссылки могут быть использованы для неявного определения узлов в системах управления знаниями]]. Приятно остановиться и добавить новую ноту всякий раз, когда это необходимо. Иметь возможность ссылаться на заглушку - это очень здорово ([[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]]).
Помимо постоянной ценности захваченных ссылок, они могут помочь вам привлечь ваше внимание во время проектировании: выпускные клапаны для нелинейного мышления могут поддерживать улучшенный линейный вывод. [[Выпускные клапаны для нелинейной мысли могут поддерживать улучшенную линейную мощность]]
!!!Рекомендации
Луман, Н. (1992). Общение с ящиками скольжения. В A. Kieserling (Ed.), & M. Kuehn (Trans.), Universität als Milieu: Kleine Schriften (стр. 53–61). Получено с http://luhmann.surge.sh/communicating-with-slip-boxes.
2. Возможность связывания (Verweisungsmöglichkeiten). Поскольку все статьи имеют фиксированные номера, вы можете добавить к ним столько ссылок, сколько захотите. У центральных концепций может быть много ссылок, которые показывают, в каких других контекстах мы можем найти материалы, относящиеся к ним. С помощью ссылок мы можем без лишней работы или бумаги решить проблему множественного хранения. При использовании этой техники менее важно, где мы размещаем новую заметку. Если есть несколько возможностей, мы можем решить проблему как захотим и просто зафиксировать подключение по ссылке или ссылке. Часто контекст, в котором мы работаем, предполагает наличие множества ссылок на другие заметки. Это особенно актуально, когда картотека уже объемная. В таких случаях важно зафиксировать соединения как бы радиально, но в то же время сразу записать обратные ссылки в соединяемых листах. В этой рабочей процедуре контент, на который мы обращаем внимание, обычно также обогащается.
В любом случае общение становится более плодотворным, когда нам удается активировать внутреннюю сеть ссылок при написании заметок или выполнении запросов. Память не функционирует как сумма точечных обращений, а скорее использует внутренние отношения и становится плодотворной только на этом уровне снижения ее собственной сложности. Таким образом, в этот изолированный момент поискового импульса становится доступным больше информации, чем предполагалось. Также имеется больше информации, чем когда-либо было сохранено в виде заметок. Промежуточный ящик предоставляет комбинаторные возможности, которые никогда не планировались, никогда не предполагались заранее или задумывались таким образом.
Если мы спросим, например, почему, с одной стороны, музеи пусты, а с другой стороны, выставки картин Моне, Пикассо или Медичи слишком переполнены, ящик для промахов принимает этот вопрос с точки зрения «предпочтения того, что есть». временно ограничено ». Связи, которые уже существуют внутри, конечно, избирательны, как этот пример должен был доказать. Они также не попадают в рамки очевидного, потому что мы должны пересечь границу между тем, кто принимает к сведению, и самим слотом.
По сравнению с этой структурой, которая предлагает возможности подключения, которые могут быть актуализированы, важность того, что на самом деле было отмечено, второстепенна.
Атомарный размер вечнозеленых заметок ([[Вечнозеленые заметки должны быть атомарными]]) и структуры ссылок ([[Вечнозеленые заметки должны быть тесно связаны]]) позволяют легко остановить и возобновить работу. Это помогает нам [[Закрыть открытые петли]].
Эти небольшие автономные банкноты представляют собой регулярные контрольно-пропускные пункты. На написание каждой заметки требуется всего несколько минут, но поскольку это [[Вечнозеленые заметки]], каждая заметка является прочной основой для того, на которой можно стоять - довольно полная по сравнению со своей собственной концепцией ([[Вечнозеленые заметки должны быть концептуальными]]). Конечно, мы будем повторять их содержание с течением времени, но каждый раз, когда мы это делаем, эта заметка будет оставаться в основном полным, автономным блоком.
Напротив, когда мы работаем над большой незавершенной рукописью, мы жонглируем многими идеями в различных состояниях завершения. Различные части документа находятся на разных уровнях точности. Документ достаточно велик, чтобы легко потерять свое место или забыть, где находятся другие соответствующие моменты, когда человек возвращается. Начало и остановка работы на день кажутся тяжелыми задачами, в значительной степени опираясь на рабочую память.
!!!Ссылки
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.
Поскольку результат каждой задачи записывается, а возможные связи становятся видимыми, легко возобновить работу в любое время, где мы ее оставили, без необходимости постоянно помнить о ней.
Все это позволяет нам позже взять задачу именно с того места, где мы остановились, без необходимости «помнить» о том, что еще нужно было что-то сделать. Это одно из главных преимуществ письменного мышления - все в любом случае экстернализируется.
Только в том случае, если в нашей рабочей памяти ничего не остается и не забирает ценные умственные ресурсы, мы можем испытать то, что Аллен называет «разумом, подобным воде» - состояние, при котором мы можем сосредоточиться на работе прямо перед нами, не отвлекаясь на конкурирующие мысли.
В письменной форме бывает больно «убить своих любимых». Это может сделать усилия, затраченные на написание этих разделов, напрасными. Он также может создавать открытые циклы (см. [[Закрыть открытые петли]]): вы можете почувствовать, что хотите убедиться, что хотите где-то опубликовать эти идеи, поэтому теперь вам нужно где-то запомнить этот раздел (или отслеживать фрагмент), чтобы вы может не забыть включить его в другую рукопись.
Но если для написания используется [[Исполняемая стратегия письма]], основанная на заметках, то большая часть работы уходит на написание [[Вечнозеленые заметки]].
Материал, который не является существенным для конкретного произведения, может стать прочной записью, создавая сеть ссылок ([[Вечнозеленые заметки должны быть тесно связаны]]) и способствовать будущему пониманию (см. [[Написание вечнозеленых заметок помогает накапливать понимание]]). Или, если он нуждается в доработке, его можно добавить в почтовый ящик для писем ([[Почтовый ящик для временных и неполных заметок]]).
Это более узкий пример более общего наблюдения: [[Выпускные клапаны для нелинейной мысли могут поддерживать улучшенную линейную мощность]].
Фактически, если вы используете «неориентированную» исполняемую стратегию для письма (при которой ваше письмо в основном возникает из уже существующих заметок), то большая часть текста даже не была написана для этой рукописи. Так кого волнует, если часть этого будет удалена из рукописи?
Связанный: [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]]
!!!Ссылки
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.
Одна из самых сложных задач - удалить то, что не имеет функции в аргументе - «убить своих любимых». Это становится намного проще, если вы переместите сомнительные отрывки в другой документ и скажете себе, что можете использовать их позже.
[[[Evergreen notes lower the emotional stakes in editing manuscripts]|https://notes.andymatuschak.org/z26G5QDZgkk3mLTJoWHfzM6kjRzHpTAWHeZWN]]
Дизайнеры интерфейсов часто заинтересованы в разработке «увлекательных взаимодействий», но взаимодействия, по умолчанию, являются бременем, возлагаемым на пользователя, - налогом, которого следует избегать. Если я использую интерфейс для анализа некоторых данных, идеальным вариантом будет отсутствие взаимодействия: я читаю экран с информацией, замечаю закономерность и отвечаю на свой вопрос. За каждый блок фильтра, кнопку навигации и скруббер взимается дополнительная плата.
Конечно, иногда бывает слишком много информации, чтобы понять ее без взаимодействия, как бы продуманно она ни была представлена. В этих случаях осторожное использование интерактивности может принести пользу за счет фильтрации пространства возможностей, но эта выгода всегда должна быть тщательно сбалансирована с накладываемыми акцизами.
Брет Виктор дополнительно замечает (2006):
У интерактивности есть еще более серьезные проблемы, чем просто бесполезная трата времени:
Пользователь должен уже знать, чего он хочет, чтобы попросить об этом. Программное обеспечение, основанное на истории и окружающей среде, может проактивно предлагать потенциально релевантную информацию, которую пользователь иначе не узнал бы, чтобы запросить. Чисто интерактивное программное обеспечение заставляет пользователя сделать первый шаг.
Пользователь должен знать, как спрашивать. То есть она должна научиться управлять машиной. Концепция Дональда Нормана об определении «ментальной модели» пользователя получила широкое распространение в сообществе юзабилити программного обеспечения и теперь считается основной проблемой проектирования. Однако Норман описал эту концепцию в контексте механических устройств. Это применимо к программному обеспечению только в том случае, если оно действительно содержит скрытые механизмы, которые пользователь должен смоделировать. Немеханическая информационная графика с низким уровнем взаимодействия избавляет и пользователя, и дизайнера от борьбы с ментальными моделями.
Навигация подразумевает состояние. Программное обеспечение, по которому можно перемещаться, - это программное обеспечение, в котором пользователь может потеряться. Чем больше навигации, тем больше углов, в которых можно застрять. Чем более управляемое состояние, тем больше способов уйти в «плохой режим». Государство - это основная причина, по которой люди боятся компьютеров: объекты с состоянием могут быть нарушены . (Примечание: единственное состояние, которое хранится в книге, - это то, для какой страницы она открыта, поэтому «заблудиться в книге» означает получить удовольствие!)
!!!References
Victor Bret (2006, 15 марта). Magic Ink: [[Информационное программное обеспечение и графический интерфейс|http://worrydream.com/MagicInk/](http://worrydream.com/MagicInk/]]
Обычно трудно оправдать вложения в новые идеи интерфейса, потому что [[Новые идеи пользовательского интерфейса - общественное достояние]]. Но похоже, что у видеоигр нет той же проблемы, что и у более широкой индустрии программного обеспечения: эмпирически они регулярно изобретают новые интерфейсы, хотя копируются очень быстро. Одна из возможных причин этого заключается в том, что видеоигры обычно зарабатывают большую часть своих денег на первых нескольких месяцах продаж - например, на фильмах. А новые идеи интерфейса могут выделить игру и сделать ее более успешной на рынке. Таким образом, разработчики игр могут окупить дорогостоящие инвестиции в новые идеи интерфейса, даже если через несколько месяцев они будут скопированы дюжиной подражателей.
* [[Каково причинное влияние сеансов обзора мнемонической среды на удержание читателей?]]
** [[Читатели Quantum Country надежно развивают детальное удержание]]
* Насколько эффективно мнемоническая среда может обеспечить надежное удержание?
** [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]]
** Читатели Quantum Country становятся быстрее с каждым повторением
** Пользователи Quantum Country кажутся на удивление нечувствительными к изменениям расписания
* Насколько обобщают эти результаты?
** [[Как производительность мнемонического носителя различается в зависимости от тематики знаний о платформе?]]
** [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]]
История, которую я хочу рассказать:
Если вы завершите сеансы обзора, вы надежно запомните прочитанное.
# … И без этих обзорных сессий вы бы запомнили гораздо меньше.
# … И это не будет стоить вам так много времени.
# … И этот эффект распространяется на многие области.
Внутри [[Quantum Country]] у нас есть убедительные доказательства 1, умеренные доказательства 3 и новые доказательства 2. У нас пока нет доказательств 4.
!!! Поведение пользователей Quantum Country
* В первом полугодии 2019 года 29% читателей QCVC, завершивших уровень в тексте, завершили 1-месячный уровень
* По состоянию на 1 квартал 2020 года несколько сотен пользователей продемонстрировали удержание QCVC более 1 месяца.
!!!Восприятие читателем
* «Я прошел только ваш первый курс квантовой страны (пока), но я считаю замечательным то, что я могу просмотреть доказательство и следовать ему, зная, что все это значит. Это почти как Нео в Матрице говорил Морфеус, «Я знаю квантовые вычисления»»
* «Я думаю, что проведение обзорных сессий дает мне то, что обещает сделать. Это уверенность в том, что я запомню материал и смогу легко подтасовывать факты. Хотя у меня уже был небольшой опыт работы с квантовыми вычислениями, эссе мне очень помогли. Он прошел гладко и укрепил мои знания, которые раньше были довольно шаткими и имели слишком много белых пятен. Я очень благодарен за существование этого эксперимента с мнемоническими эссе»
* «В отличие от других способов обучения, я не боюсь забыть то, что я
узнал в будущем, потому что я знаю, что есть кто-то, кто всегда будет
напоминать мне пересмотреть ключевые части в нужные моменты времени. И это
не просто чувство. Судя по результатам обзора, я думаю, что я
запомнил большинство из них надежно»
Само по себе обучение редко бывает целью, даже если это так кажется. Учебное поведение обычно регулируется другими внутренними или внешними силами.
За пределами учебных заведений обучение обычно является инструментальной целью на пути к какой-то действительно значимой цели. Неявные цели обучения также могут возникать как следствие подлинного любопытства или эстетического инстинкта. Все эти подстрекатели находятся внутри, поэтому их хорошо иметь на месте водителя: учебная деятельность будет естественным образом реагировать на изменения внутренних целей человека, любопытства или эстетического опыта. Учебная деятельность выражает эти личные побуждения и регулируется ими. Обучение остановится, когда этот привод (любопытство) остановится; полезный опыт будет мотивировать и формировать эти личные стремления в будущем. Это самоактуализирующееся поведение.
Напротив, некоторые виды обучающего поведения в основном модулируются внешними силами. «Машинное обучение будет иметь большое значение в моей области, поэтому я думаю, мне стоит узнать об этом». «Как предположительно интеллектуальный человек, я чувствую, что должен знать аргументы Платона». «Я слышал, как много людей говорили об этой книге; Думаю, мне стоит это прочитать! » Обучение остановится, когда пропадёт (снизится) чувство долга. Будь то полезная или вредная - эта деятельность отрекается от интеллектуальной воли перед внешними силами. Это самоотречение.
Это одна из причин, почему [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
См.также [[Цели обучения часто подрывают себя]].
В некоторых областях, например в бухгалтерском учете, за последнее столетие опыт вырос благодаря новым технологиям. Но во многих областях, таких как музыка и спорт, планка производительности мирового класса, кажется, значительно выросла без каких-либо дополнительных изобретений извне. Эрикссон и Пул (2016) предполагают, что этот рост объясняется тем, что больше времени тратится на все более сложные практики (стр. 8).
Связанный: [[Физические и когнитивные способности человека можно удивительно значительно расширить с практикой]].
[[В каких сферах планка виртуозности не поднялась значительно? На каких полях она упала?]]
Возможно, связано: [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].
!!!Примеры
* Показатели в каждом проанализированном олимпийском соревновании (легкая атлетика, плавание) улучшились с 1896 по 1980 год, в некоторых случаях на 90% (Schulz and Curnow, 1988).
* (Ericsson & Pool, 2016, стр. 6-7)
** Мировой рекорд среди марафонцев 1908 года (2 часа 55 минут, Джонни Хейс) едва ли смог бы претендовать на участие в Бостонском марафоне сегодня.
** В настоящее время считается, что записи лучших музыкантов мира начала 20 века испорчены техническими ошибками.
** В прыжках в воду двойное сальто считалось слишком опасным для попытки; Теперь это обычное дело для соревнований десятилетних детей.
** Мировой рекорд по количеству запоминаемых цифр π вырос с 511 до 70 000 за четыре десятилетия.
Q. Приведите пример того, как резко поднялась планка виртуозности, не связанная с новыми инструментами. (Приведите пример, который вы недавно не приводили)
A. [[Марафонцы, выступления музыкантов, двойные сальто, цифры пи]]
!!!References
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
Schulz, R., & Curnow, C. (1988). Peak Performance and Age Among Superathletes: Track and Field, Swimming, Baseball, Tennis, and Golf. Journal of Gerontology, 43(5), P113–P120 https://doi.org/10.1093/geronj/43.5.P113
Матрица для [[Программируемое внимание]]
как реализовано с помощью систем типа интервального повторения; см. [[Системы интервального повторения могут использоваться для программирования внимания]] к основной статье.
Связано: [[Система интервального повторения на уровне ОС]]
[[Мнемоническая среда может помочь в написании подсказок с помощью подсказок, предоставленных автором]], но иногда особенно важно, чтобы читатель писал свои собственные подсказки - например, особенно, когда влияние носит личный, а не интеллектуальный характер, поскольку [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]. Что, если бы автор мог помочь читателю написать свои собственные подсказки? Возможно, они могли бы предоставить набор шаблонов подсказок для ремикширования, чередующихся непосредственно в процессе чтения, как в этом эскизе:
[img[Снимок экрана 2021-04-13 в 10.00.12 PM.png]]
Этот механизм будет во многом зависеть от правильных ответов на вопрос, [[Как мнемоническая среда может адаптироваться к разному опыту и целям читателей?]]. Это то, что легко может вызвать раздражение.
Возможно, взаимодействие с набором текста следует вытянуть «над» самой подсказкой, чтобы из одного ответа можно было сгенерировать несколько подсказок; например, «Какие трения я чувствую, пытаясь выполнять ежедневные упражнения ?» и «Что (нового) я могу попробовать, чтобы упростить выполнение ежедневных упражнений?», с заполнением бланков обоих шаблонов выбранной привычкой.
Вариант этого механизма можно представить в виде подсказки, состоящей из нескольких частей (карта разворачивается, как оригами?): «В данный момент, какую привычку вы инстинктивно хотите сделать более надежной в данный момент?» / «Какие трения вы чувствуете, пытаясь выработать эту привычку?» / «Как бы вы могли облегчить эти трения или облегчить эту привычку?» При таком типе подсказки, состоящей из нескольких частей, взаимодействие с набором текста может не потребоваться: более поздние подсказки могут просто говорить с более ранними.
Один из способов ориентироваться в парадоксе, присущим привилегированным линейным рабочим продуктам, но нелинейным рабочим средам: делая нелинейные структуры доступными для незавершенной работы, вы создаете выпускной клапан для касательного мышления, который, в свою очередь, может освободить автора сосредоточиться на своей «первичной» линии мышления.
Например, на доске или в блокноте, если вы разрабатываете «основной» маркированный список или диаграмму, и с вами происходит что-то, что не совсем вписывается, вы можете просто записать его в сторону и, возможно, нарисовать стрелку.
Точно так же в системе написания гипертекстовых заметок косвенные мысли всегда можно зафиксировать в другой заметке и связать в ней: [[Вечнозеленые заметки снижают эмоциональные ставки на редактирование рукописей]]. Но это преимущество не обязательно заключается в создании хорошо связанной онтологии (как описано в [[Вечнозеленые заметки должны быть тесно связаны]]); это больше связано с поддержанием гигиены и внимания.
Линейные среды разработки, такие как текстовые процессоры, заставляют автора создавать пузырьки нелинейности внутри своей линейной работы, например, путем добавления или цветных разделов «страйных заметок» или использования Google Comments. Все эти подходы кажутся напряженными и неестественными: [[Тирания формальности в интерфейсах]]:
*… Идеи постоянно пытались ускользнуть. Что такое скобка, как не идея, от которой нужно ускользнуть? Что такое сноска, как не идея, которую попробовали - которая спрыгнула со скалы?*
"""
Q. В каком смысле обработка касательной мысли в нелинейных рабочих средах действует как клапан выпуска?
А. Бродячие мысли могут быть с пользой захвачены и связаны для последующего внимания, не мешая основной фокусу.
Q. Как теория «выпускной стоимости» нелинейного письма подрывает обычное повествование вокруг систем гипертекстовых заметок?
А. Возможно, ценность нелинейного письма заключается не в будущей ценности встроенных ссылок, а скорее в том, что захват касательных мыслей может помочь авторам сосредоточиться на своей «первичной» линии мышления во время написания.
"""
[[Ментальное состояние глубокой разработки программного обеспечения и глубокого исследовательского мышления являются взаимоисключающими]].
Хуже того: по крайней мере, по моему опыту, довольно дорого переключаться между этими двумя психическими состояниями. У меня не было большого успеха, разделив свои дни или даже недели на «строительство» и «мышление» времена. Это делает бриколаж особенно трудным, напротив [[Insight через создание самого начала предпочитает бриколаж, а не долгий процесс дизайна]].
Обучение имеет значение, поскольку оно влияет на наши будущие мысли и действия. Фактически, поскольку [[Понимание требует активного вовлечения]], обучение является лишь следствием богатого набора мыслей и действий, сплетенных с этими концепциями.
Если смотреть через эту призму, поверхностное обучение («хорошо, я пойду на этот семинар») часто подрывает их собственные цели. Без личной связи с идеями интеллектуальное участие участников будет относительно неглубоким. «Гобелен будет соткан слишком рыхлым; он скоро распадется. Мало что будет глубоко понято».
Когда реальная цель деятельности является чем-то внутренне значимым для участника, его искреннее интеллектуальное участие, естественно, приведет к активному взаимодействию с вовлеченными идеями. Более глубокое понимание не было целью, но, скорее всего, это произойдет в любом случае. [[Сообразительность превосходит силу воли и уверенность]].
В частности, для деятельности, движимой любопытством, личная связь является буквальным предшественником; деятельность продолжается только до тех пор, пока существует эта связь. В этих случаях связь между активностью и интеллектуальным участием особенно чиста.
Джон Литтлвуд (английский математик) писал:
::Я пытался изучать математику за пределами моих интересов; после любого перерыва мне приходилось начинать все сначала.
[[Вечнозеленые заметки]] помогают формировать прочные связи с новыми областями знаний. [[Создавайте спекулятивные контуры во время написания заметки]] и это позволит по-новому открывать ранее неизвестную область, потому что [[Знания должны срастаться]], а [[Перекодирование может увеличить размер чанка]].
!!!References
[[Littlewood, J. E. (n.d.). *Littlewood’s Miscellany* (B. Bollobás, Ed.), via Nielsen, M. (2018). Augmenting Long-term Memory.|http://augmentingcognition.com/ltm.html]]
В ответ на [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]], многие предполагают, что они //не хотят вспоминать все подробности//. Они проводят большую часть своего времени за чтением «для того, чтобы получить общую картину» или «просто для того, чтобы получить концептуальное понимание». Иногда это возможно, но во многих случаях невозможно по-настоящему понять концепцию без твердого понимания деталей, на которых она построена.
!!!Интуитивный аргумент:
Откровенно говоря, кажется вероятным, что такие люди обманывают самих себя, путая чувство удовольствия с каким-либо прочным пониманием. Представьте себе встречу с человеком, который сказал вам, что у него «широкое концептуальное понимание» того, как говорить по-французски, но оказалось, что он не знает значения слов «bonjour», «au revoir» или «tres bien». Можно было бы подумать, что их заявление о широком концептуальном понимании французского было забавным".
[[Как мы можем разработать преобразующие инструменты мышления? - В любом случае, насколько важна память|https://numinous.productions/ttft/#how-important-is-memory]]
Более конкретный аргумент состоит в том, что концептуальное понимание в основном связано с связями - пониманием того, как элементы соотносятся друг с другом, причин, следствий, последствий, ограничений, тенденций и т. д. Вы не можете понять эти отношения высокого порядка без знакомства с их составляющими.
Другой аргумент основан на нашем понимании обработки информации человеком: [[Опыт требует построения сложных схем перекодирования чанков]].
---
"""
Q. Аргумент Reductio ad absurdum (Доведение до абсурда) против кого-то, кто хочет только «широкого концептуального понимания», а не подробного отзыва?
А. Это похоже на желание иметь «широкое концептуальное понимание» французского, не зная значения слова «bonjour».
Q. Аргумент коннективистов о том, что глубокое понимание требует детального знания основ?
А. Концептуальное понимание в значительной степени связано с отношениями; невозможно изучить ребра, не зная узлов.
//Коннективизм - это теоретическая основа для понимания обучения в цифровую эпоху.
//"""
---
!!!References
Матушак А., Нильсен М. (2019). [[Как мы можем разработать преобразующие инструменты мышления|https://numinous.productions/ttft]].
Одно из ключевых утверждений [[Insight через создание]] заключается в том, что [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. Но [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]], поэтому трудно создать мощные контексты для тщательного мышления. [[Группы, изучающие инструменты для мышления, нуждаются в достаточном потенциале для создания прототипов, пригодных для серьезной работы]].
Один из подходов состоит в том, чтобы тесно связать производителя инструмента с пользователем инструмента. В идеале они глубоко погружены в работу друг друга, возможно, до такой степени, что могут производить (плохое) исходное понимание в сфере деятельности своего партнера.
Такой подход также позволяет каждому оставаться сосредоточенным и избегать когнитивных затрат на переключение: [[Ментальное состояние глубокой разработки программного обеспечения и глубокого исследовательского мышления являются взаимоисключающими]]
Подробнее об этих совместных работах:
* [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
* [[Сотрудничество между производителями инструментов и пользователями инструментов лучше всего повторяется через последовательность различных проектов]]
* [[Сотрудничество между производителями и пользователями инструментов зависит от создания эффективных «арсеналов» идей инструментов]]
[[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. Это поднимает планку для любой группы, надеющейся исследовать идеи, связанные с [[Инструменты для размышления]]: у вас должны быть не только возможности для концептуального развития идеи, но также дизайн и технические возможности для разработки прототипов до такой степени, что их можно будет использовать в качестве серьезных инструментов. для серьезной работы. Только в этот момент вы сможете ясно увидеть, как ваши идеи преломляются в процессе использования системы, т.е. [[Insight через создание]].
Академическим лабораториям обычно не хватает такой возможности: [[Академические программные интерфейсы обычно не подходят для серьезного использования широкой аудиторией]].
Похоже, что открыты только два пути:
# [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
# Изучение инструментов для размышления в одном из контекстов серьезного использования ([[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]]).
Эта модель памяти предполагает, что распад памяти с течением времени можно точно описать двумя параметрами: {восстанавливаемость} и {стабильность}.
Извлекаемость определяется как {вероятность того, что человек вспомнит факт по прошествии определенного периода времени}. Стабильность определяется как {долговечность памяти: как долго она прослужит, если не будет извлечена}. Их отношение приблизительно равно { R ∝ exp(-t / S)}.
Стабильность увеличивается с каждым просмотром, так что возможность извлечения падает медленнее с каждым повтором (см. [[Эффект интервала]]). Извлечение, по-видимому, больше повышает стабильность, когда извлекаемость низкая: то есть, [[Менее доступные воспоминания более подкрепляются извлечением]] (см. также [[Желательные трудности, после Бьорк]]). [[Supermemo пытается охарактеризовать эту взаимосвязь с помощью экспоненциальной кривой]], но сложность модели достаточно высока, и я скептически отношусь к ней.
Эта модель объясняет, почему может быть полезно изучать даже материал, который можно успешно вспомнить («повторное обучение»): даже когда сила извлечения относительно высока, исследование может увеличить прочность хранения, что уменьшит последующее снижение прочности извлечения ([[Роберт А. Бьорк]] и Бьорк, 1992).
При практическом использовании в качестве части [[§Система интервального повторения]], как правило, должен быть введен третий параметр для сложности элемента, поскольку элементы SRS обычно не являются атомарными с точки зрения нашего мозга.
[[Петр Возняк]] использует в своем анализе извлекаемость и стабильность; Роберт А. Бьорк и Бьорк (1992) называют аналогичную пару параметров «сила извлечения» и «сила памяти» соответственно.
Q. Выразите аналитически компонент устойчивости двухкомпонентной модели памяти.
A. Стабильность - это временной интервал, в течение которого восстанавливаемость превышает некоторый порог, например 90%.
!!!References
[[Two component model of memory - supermemo.guru|https://supermemo.guru/wiki/Two_component_model_of_memory]]
Bjork, R. A., & Bjork, E. L. (1992). A new theory of disuse and an old theory of stimulus fluctuation. In A. F. Healy, S. M. Kosslyn, & R. M. Shiffrin (Eds.), Essays in honor of William K. Estes, Vol. 1. From learning theory to connectionist theory; Vol. 2. From learning processes to cognitive processes (p. 35–67). Lawrence Erlbaum Associates, Inc.
«Дескрипторы» (concept handle) - это запоминающаяся именная фраза, представляющая сложную, часто абстрактную тему. Например: «дилемма заключенного», «окно Овертона», «вера в веру» и т. Д. В моем собственном сочинении примеры включают в себя [[Благоприятная (стимулирующая) среда]], [[Реализованный опыт]] и т.д. [[Скотт Александр]].
Удачная обработка концепций может действительно усилить расплывчатую идею, которую многие люди вроде бы понимают, но не могут указать и о которой говорить. Если дать этому расплывчатому понятию четкое, запоминающееся название, вы сможете разблокировать много разговоров и размышлений. После Александра:
::Я вряд ли открою для себя какое-нибудь совершенно новое социальное явление, о котором раньше никто не думал. Но есть много вещей, о которых люди имеют смутные туманные представления, которые они не могут выразить словами. Превратить их в [[кристально чистые идеи|https://slatestarcodex.com/2014/03/15/can-it-be-wrong-to-crystallize-patterns/]], которыми они могут манипулировать и обсуждать с другими, - это большое дело.
Если вы придумываете что-то интересное и очень кратко вбиваете это в чью-нибудь голову, не тратьте это зря! Дайте ему красивую концепцию-дескриптор, чтобы они запомнили его и могли использовать для решения других проблем!
Один из способов представить себе дескрипторы концепций - это «API для концепций». В этом смысле идея связана с моими представлениями о [[Заголовки вечнозеленых заметок похожи на API]].
"""
Q. Каков пример концептуального дескриптора?
А. (дилемма заключенного, разыгранный опыт и т.д.)
Q. Какова причина важности дескрипторов концепций, связанных с сетевым интеллектом?
A. Они позволяют людям координировать обсуждение идеи, которая ранее была туманной.
"""
!!!References
https://slatestarcodex.com/2016/02/20/writing-advice/
Когда вы впервые осваиваете новый навык или концепцию, важно разбить её на части, чтобы вы могли сделать твёрдый первый шаг. К сожалению, этот процесс факторинга сам по себе довольно утомителен, что может повлиять на материал объектного уровня. Если концепции достаточно чужды, возможно, вы вообще не сможете их разбить.
Детализированная последовательность задач, предоставляемая экспертом, может помочь в создании [[Когнитивный каркас]]. Например, если вы хотите научиться программировать, эксперт может предложить вам сначала скопировать программу обработки, которая говорит «Привет, Боб!», А затем вы можете изменить программу, чтобы напечатать свое имя вместо «Боб». Затем они могут представить вам три разные следующие программы для копирования и ремикса: например, анимация текста на экране, многократная печать сообщения с использованием цвета. И так далее…
Дизайнеры игр особенно хороши в этом (Кук, 2007). The Witness - отличный пример: каждая головоломка раскрывает один крошечный новый элемент незнакомого навыка. Более поздние головоломки вводят комбинации этих навыков постепенно, пока, наконец, вы не обнаружите, что замысловато сплетает дюжину различных новых механик творческими способами.
Ограничения - это один из способов построения этих прогрессий ([[Ограничения как когнитивные опоры]]).
!!!References
[[Cook, D. (2007, July 19). The Chemistry of Game Design. Gamasutra. Retrieved from|https://www.gamasutra.com/view/feature/129948/thechemistryofgamedesign.php]]
Thekla, Inc. (2016). The Witness. Berkeley, CA.
«Детальное кодирование» описывает, что мы делаем, когда связываем знания с существующими воспоминаниями или опытом. Считается, что установление этих связей улучшает запоминание, особенно когда устанавливаются связи с особо отличительными и эмоционально связанными целями.
Чаще всего он используется в мнемонических методах, когда люди могут запоминать числа, связывая их со знаменитостями, местами, запахами и т. д.
Некоторые пользователи [[§Система интервального повторения]] явно пишут подсказки, чтобы продвигать детальное кодирование. Эксперименты Karpicke и Smith (2012) показывают, что это может не сильно добавить, по сравнению с одной только поисковой практикой. Связанный: [[Практика поиска оказывается более эффективной учебной деятельностью, чем сложное кодирование]]
!!!Обратные ссылки
* [[Вечнозеленые заметки должны быть тесно связаны]]
** Если мы заставляем себя добавлять много ссылок между нашими заметками, это заставляет нас широко задуматься о том, какие другие концепции могут быть связаны с тем, о чем мы думаем. Это заставляет тщательно обдумать, как идеи соотносятся друг с другом (см. [[Понимание требует активного вовлечения]], а [[Вечнозеленые заметки должны быть концептуальными]]. Это также поможет вам глубже усвоить идеи с помощью подробного кодирования.
* [[Эффект тестирования]]
** Это также, по-видимому, приводит к более прочной памяти (Karpicke and Smith, 2012) и повышению эффективности обучения в целом (Karpicke and Blunt, 2011) по сравнению с практикой, основанной только на детальном кодировании.
* [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]].
** При использовании [[§Система интервального повторения]] для изучения фактов наивный подход приводит к изучению множества фактов изолированно: названия белка, даты события, размера физической константы. Но поскольку [[Богатое понимание - это связь]], лучше связать эти факты с другими идеями. Это не только поможет вам запоминать более надежно (благодаря [[Детальное кодирование]]), но и поможет вам развить более глубокое понимание, выходящее за рамки простых фактов.
* [[Эвристика ответа эксперта, after Issa Rice]]
** Когда подсказка не проходит эту эвристику, она обычно кодирует интерпретацию, обрамление, пример, формулировку и т. д., зависящую от автора. Это часто бывает полезно, особенно как своего рода [[Детальное кодирование]] или способ культивирования эмоционального интереса. Но это также может вызвать узкое понимание. В случае общих подсказок или мнемонической среды такие подсказки могут приводить к разочаровывающим ложным отрицаниям, поскольку они просят читателей узнать, как конкретный источник представляет материал: [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]].
* Написание собственных подсказок для интервального повторения, кажется, способствует пониманию
** Связано: [[Эффект генерации]], [[Детальное кодирование]]
*[[Богатое понимание - это связь]]
** Отчасти это касается [[Детальное кодирование]]
Лучшее понимание [[Эффект тестирования]] и [[Эффект генерации]], читать кучу бумаг вокруг этого. Постепенно лучшее понимание сложного кодирования . Хорошая обзорная статья:
Karpicke, J. D., & Blunt, J. R. (2011). Retrieval Practice Produces More Learning than Elaborative Studying with Concept Mapping. Science, 331(6018), 772–775. https://doi.org/10.1126/science.1199327
Эксперимент, сравнивающий отображение концепций (вызывающее [[Детальное кодирование]]) и практику поиска (вызывающее [[Эффект тестирования]]) в памяти. Как и Карпике и Смит (2012), эта статья также интересуется тем, связаны ли эффекты поисковой практики с детальным кодированием или же происходит какой-то другой процесс.
Производится ли эффект тестирования за счет подробного кодирования ? Когда вы просматриваете подсказки в [[§Система интервального повторения]], вы даете себе возможность сформировать новые связи на основе вашего текущего контекста и различных мыслей, которые у вас возникают во время сеанса просмотра.
TODO: Мы должны сформулировать аналогичную цель для учебника
При разработке [[Благоприятная (стимулирующая) среда]] возникает соблазн сосредоточиться на навыках или понимании, которые развиваются или расширяются. Такой подход обычно подрывает его собственные цели. Наиболее успешные благоприятные условия включают деятельность, которая в первую очередь связана с теми навыками или пониманием, которые необходимы. (См. [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]], [[Благоприятная среда сосредоточена на том, что включено]]).
[[Внутренне-модулированное обучение самоактуализируется; внешне-модулированное обучение самоотрекается]]. Без внутренне значимой цели действия будут в первую очередь мотивированы и модулированы силами, внешними по отношению к вовлеченным лицам.
[[Глубокое понимание требует (и является результатом) интенсивной личной связи]]. Без внутренне значимой цели такая связь маловероятна.
Для авторов недостаточно иметь какой-то внутренне значимый мотив для создания действий, и недостаточно, чтобы одни участники находили действия внутренне значимыми. Авторские действия должны иметь внутренне значимую цель как для автора, так и для участника. В идеале эти цели совпадают: [[Авторская среда значительно окрашена мотивами авторов]].
Например, Mathematica может содержать [[Cognitive scaffolding]], но ее деятельность в основном связана с математикой и естественными науками. [[Игры эффективно развивают навыки игроков]], но [[Развитие навыков в играх подчинено другим внутренне значимым целям]].
Образовательная среда может в конечном итоге стремиться к действительно значимым целям, таким как поддержка вашей семьи или присоединение к профессиональному сообществу. Эти высокоуровневые цели часто не отражаются на практическом опыте в окружающей среде. [[Некоторые «образовательные» мероприятия преследуют по своей сути значимые цели]], но в большинстве случаев их деятельность в первую очередь направлена на развитие навыков, что редко имеет внутреннее значение ([[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]).
Подробнее: [[Цели обучения часто подрывают себя]].
::Конечно, в каком-то смысле я очень влюблен в такие цели, как «предоставление людям возможности» ... Но я также очень подозрительно отношусь к таким целям. Я думаю, что> 99,9% времени они в конечном итоге покровительствуют. Единственное, что я знаю, что постоянно уходит от этого паттерна неудач, - это сделать основной целью что-то другое, что-то, что по сути важно. Например, если вы запустите программу Apollo, вы наверняка дадите людям возможность. Но это будет второстепенно по сравнению с полетом на Луну. Если вы создадите Mathematica, вы наверняка поможете людям. Но это будет вторично по сравнению с умопомрачительной математикой / теоретической физикой…
Задача Стэнфордского университета в Уставе сформулирована как «воспитание в учащихся качеств, необходимых для успешного будущего, полезных и применимых в жизни», а цель – «содействие общественному благоденствию путем влияния на умы в интересах человечества и цивилизации». А не обучение философии/физике/химии...
Есть предел тому, насколько точно люди могут определить абсолютную величину одномерного стимула. Например, скажем, я отмечаю точку на числовой линии, которая имеет только метки 0 и 100. Затем я прошу вас оценить числовое положение отмеченной точки. Насколько хорошо ваш ответ коррелирует с истинной позицией?
Другими словами, сколько категорий вы можете надежно различить? Если бы я мог выбрать любое число от 0 до 100, вы, вероятно, не ожидали бы такой точности, но если бы я мог выбрать только 20, 40, 60 и 80, ваши ответы, вероятно, идеально коррелировали бы. Мы могли бы постепенно увеличивать количество возможных вариантов, чтобы найти точку, в которой люди не смогут достоверно различить какие-либо дополнительные категории. И мы можем повторить тот же эксперимент для других стимулов, таких как громкость звука или высота звука, концентрация солевого раствора или оттенки цвета.
{Миллер} (1956) называет этот порог диапазоном абсолютного суждения, и его обзор литературы показывает, что его значение составляет около {семи} с удивительно небольшими вариациями в зависимости от типа стимула.
Эта величина важна, потому что она представляет собой фундаментальное ограничение для обработки информации человеком: [[Пропускная способность человека как обработчика информации]].
…Кажется, что в нас заложены некоторые ограничения, обусловленные обучением или конструкцией нашей нервной системы, предел, который удерживает наши возможности каналов в этом общем диапазоне. На основании имеющихся данных можно с уверенностью сказать, что мы обладаем конечной и довольно небольшой способностью делать такие одномерные суждения и что эта способность не сильно меняется от одного простого сенсорного атрибута к другому...
"""
Q. Какие типы раздражителей описывает диапазон абсолютного суждения Миллера?
А. Одномерные величины
Q. Каков примерный порядок изменения диапазона абсолютного суждения?
А. 10^0
Q. Приведите пример эксперимента, который можно было бы провести, чтобы определить диапазон абсолютного суждения человека для некоторого стимула.
А. Присвоение чисел солевым концентрациям, размерам форм, наклонам линий и т. д.
Q. Люди могут надежно дискриминировать стимул (например, концентрацию солей) только примерно на 7 различных одномерных величин. Как Миллер (1956) называет это ограничение?
A. Промежуток абсолютного суждения
"""
---
!!!References
Миллер, Дж. А. (1956). Магическое число семь, плюс или минус два: Некоторые ограничения нашей способности обрабатывать информацию. Психологический обзор, 63(2), 81–97. [https://doi.org/10.1037/h0043158 ](https://doi.org/10.1037/h0043158) [[Миллер - Волшебное число семь, плюс или минус два]]
[[Мнемоническая среда]] предназначена для облегчения ответов на запросы.
* ''Крошечные задачи'': подсказки хорошего отзыва в тесте [[§Система интервального повторения]] - это всего лишь одна вещь, поэтому на них можно довольно быстро ответить. Среднее время рассмотрения запроса Quantum Country составляет 6 секунд (по состоянию на 2019/12 год).
* ''Маркировка одним касанием'': поскольку подсказки оцениваются самостоятельно, само взаимодействие довольно легкое: всего одно касание. Нет необходимости в точном нацеливании: каждая кнопка закрывает половину экрана. См.также [[Системы интервального повторения с самооценкой более эффективны, чем аналогичные системы с машинной оценкой]].
* ''Чтение без взаимодействия'': вопросы и ответы достаточно короткие, чтобы их можно было читать без прокрутки, что гарантирует, что единственное необходимое взаимодействие - это выявление и отметка ответов. Это также означает, что в переживании чтения вопроса нет состояния.
* ''Стабильность'': расположение подсказок и области просмотра фиксировано, а соседние подсказки укладываются по оси z, а не по вертикали. Таким образом, после ответа на каждое приглашение следующее появляется в том же месте на экране. Пользователю не нужно «находить» начальную точку для следующего вопроса или ответа подсказки, потому что они всегда находятся в одном и том же абсолютном положении.
** Точно так же читателям не нужно «перенаправлять» свою мышь или палец с подсказки на подсказку, потому что кнопки всегда находятся в одном и том же абсолютном положении.
** Подсказки не меняют свой макет на разных устройствах.
* ''Терпимость'': большинство читателей не заботятся обо всех подсказках. Если бы подсказки были весомыми, как упражнение из учебника, многие читатели выбирали бы и выбирали, принимая сознательное решение о том, отвечать ли на каждую подсказку. Это дополнительное решение делает каждое приглашение еще тяжелее! Но если на подсказки довольно дешево ответить, то несколько неинтересных подсказок не так обременительны. Некоторые читатели могут пожелать «отказаться» от определенных запросов, но можно предположить, что читатели ответят на каждое приглашение как строгое значение по умолчанию.
!!!Легкие подсказки важны для всестороннего охвата
Если читатели должны помнить весь ключевой материал мнемонического текста, авторы должны включать много подсказок (например, QCVC имеет 112 подсказок и 20 тысяч слов). По мере того, как подсказки становятся легче, читатели будут терпеть их большее количество при определенном уровне интереса или времени. Если каждое приглашение занимает 6 секунд, мы можем добавить 112 подсказок в QCVC за примерно 10 минут - неплохо, поскольку большинству читателей требуется 3-4 часа, чтобы закончить это эссе.
Если мы будем рассматривать только время чтения в эссе, было бы не так уж плохо, если бы на подсказки требовалось вдвое больше времени, чтобы ответить. 20 минут вместо 10 минут в контексте 3-4 часов чтения не кажутся очень существенными. Но эффективность (или неэффективность) увеличивается. Большинству читателей требуется 5-7 повторений для достижения многомесячного удержания, поэтому при 6 секундах на подсказку мы можем ожидать, что сохранение этих 112 подсказок «стоит» около 90 минут в последующие месяцы. Удвоение этого числа было бы серьезным бременем. (См. [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]])
!!!Легкие подсказки можно чередовать более регулярно
В учебниках традиционно есть разделы с упражнениями, но эти задачи часто довольно сложны. Они могут потребовать дополнительных размышлений или пера и бумаги - в любом случае, значительного переключения контекста в сторону от чтения. Вы бы не хотели рассматривать этот контекстный переключатель каждые несколько абзацев.
Но поскольку вопросы мнемонической среды легковесны, мы можем чередовать их через каждые несколько сотен слов в [[Quantum Country]]. Мы были обеспокоены тем, что это может помешать чтению, поэтому мы подробно опросили читателей о своевременности. Ни один из читателей не сообщил, что эти наборы для обзора раздражают или раздражают. Вместо этого многие добровольно заявили, что им нравится, как регулярно появляются подсказки, потому что регулярные подсказки заставляют их чувствовать себя «в безопасности» и поддерживают их при чтении. См. [[Дополнительные сведения в текстовых подсказках мнемонической среды, которые могут поддерживать активное чтение]].
TODO Мы многого не понимаем в этом: [Как следует размещать наборы мнемонических обзоров?]
[[Трудно написать хорошие подсказки для интервального повторения]], но вот одна полезная ментальная модель. Когда вы делаете запрос для [[§Система интервального повторения]], вы даете себе //в будущем повторяющуюся задачу//. Оперативный дизайн - это дизайн задачи.
Поэтому, если вы пишете подсказки, чтобы помочь усвоить определенную идею, вы должны разработать задачи, которые укрепят ваше понимание этой идеи при их выполнении. Если вы пишете подсказки для поддержки творческой работы, вы должны разработать задачи, которые заставят вас замечать возможности или связи и так далее.
!!!«Захват» идеи с помощью интервалов повторения - это как перевод
Этот процесс удивительно похож на перевод текста с одного языка на другой. При переводе отрывка вы ищете слова, которые при чтении загораются в сознании читателей такими же лампочками, как те, которые могли быть активированы исходным языком. Это не механическая операция. Если отрывок включает намек, метафору или юмор, вы не переведете буквально; вы попытаетесь найти слова, которые воссоздают ощущение чтения оригинала для представителя иностранной культуры.
При написании подсказок SRS, которые помогут вам усвоить идею, вы выполняете нечто похожее на языковой перевод: при выполнении каких задач требуется зажигание лампочек, которые активируются, когда эта идея «полностью загружена» в ваш разум?
Как нам разработать такую задачу? Если идея довольно проста, можно сразу придумать задачу, которая надежно освещает все эти лампочки. Но когда у идеи слишком много важных аспектов, трудно разработать задачу, которая надежно стимулирует все эти элементы. Поэтому лучше всего разбивать концепции на их простейшие единицы: [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]].
Живя в Калифорнии, у нас так много прекрасных дней. Было бы так приятно проводить много времени на улице, но компьютерные дисплеи с подсветкой просто не работают в этом контексте.
Мне не нужна вся рабочая станция: я был бы счастлив, если бы мог выполнять даже простые задачи, такие как чтение и запись документов на улице. Конечно, можно использовать физические документы, но это исключает компьютерное мышление|https://notes.andymatuschak.org/z26R7quP3Mz4UCg7EFacraYkfQqNhuEnms3Yy.
Дисплеи с электронными чернилами - прекрасная альтернатива, но они еще не использовались для серьезного решения этой проблемы. Даже если рассматривать его только как устройство для чтения, Kindle работает ужасно; см .: [[Читать тексты на компьютере неприятно]]. reMarkable|https://notes.andymatuschak.org/zvWMA33xBXRJwWSh9W2roUQtiLMJTH7qCCd7 - одна из многообещающих (но в конечном итоге неудачных) попыток.
Dasung Paperlike выглядит многообещающим: он подключается к компьютеру через HDMI / USB и работает как вход для внешнего дигитайзера. Это довольно дорого - 1100 долларов.
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но сохранение не имеет ценности само по себе. Память ценна постольку, поскольку помогает людям делать то, что придает смысл их жизни: [[Инструменты для размышления следует оценивать в контексте действительно значимых целей]] . К сожалению, доминирующая культура систем памяти сильно отклоняется в сторону памяти как таковой.
Если вы потратите время на / r / anki, вы увидите, как люди обмениваются советами о том, как запомнить все столицы Африки или всех президентов США, как если бы они учились выполнять трюки для вечеринок. Эти люди часто скрупулезно озабочены производительностью и эффективностью систем памяти - оптимизацией ради нее самой и обслуживанием памяти ради нее самой.
Вы также увидите людей, которые пытаются запоминать каждую деталь всего, что они читают («на всякий случай»), но без серьезного взаимодействия с текстами каким-либо другим способом. Складывается ощущение, что они боятся когда-либо «потерять» что-либо (напротив, [[Сбор материала для заметок без его переработки - не эффективен]]). Эта навязчивая идея также движет большей частью культуры системы записи заметок, восходящей к Теду Нельсону.
Это опасно для моей работы. Я не хочу служить или расширять эту культуру. Ранние последователи моей работы часто происходят из этой культуры. Я должен быть осторожен, чтобы отфильтровать то, что они говорят, через эту линзу. [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. Время, потраченное на осознанную практику с системой памяти, полезно, поскольку оно устраняет препятствия для выполнения чего-то действительно значимого. [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]].
Существенным исключением из этого наблюдения является сообщество студентов-медиков, использующих системы памяти для ускорения учебы. Конечно, многие (большинство?) Из них рассматривают это как способ помочь им пройти трудное испытание, а не как способ, скажем, улучшить уход за пациентами. Но это шаг в правильном направлении.
Еще одно существенное исключение можно найти в сообществах изучающих язык. Многие из этих людей используют системы памяти, чтобы помочь им глубже погрузиться в новую культуру, которая имеет для них большое значение. Конечно, многие, скажем, запоминают 10 000 иероглифов только потому, что это кажется забавным испытанием или чем-то, что им «следует» сделать.
См. Также: [[Каково общее влияние мнемонической среды на читателей?]]
Подсказки в [[Мнемоническая среда]] помогают читателям запомнить то, что они читают, но, похоже, мы пока хорошо не понимаем другие эффекты.
* В частности, поскольку читателей просят сделать что-то с тем, что они только что выучили (в частности, через подсказки приложения: [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]), эти подсказки создают слабый вид [[Среда участия]]: [[Среда участия поддерживает обучение]].
* Может возникнуть поведенческий эффект: [[Мнемоническая среда может подтолкнуть читателей к более медленному и внимательному чтению]].
* Кажется, есть эмоциональный эффект: читатели чувствуют себя «в большей безопасности», зная, что они проверят свое понимание
** Мэтт Клэнси, учитель экономики в штате Айова, построил систему, вдохновленную QC, и сообщил то же самое от своих учеников: «им понравилась возможность смотреть видео, и они были уверены, что получили то, что должны были получить, так как вопросы следовали сразу после".
Берегись! Слишком легко позволить чужой схеме и идеям доминировать над своими собственными.
Чтении по умолчанию позволяет автору думать за вас.
Per Schopenhauer:
Когда мы читаем, кто-то другой думает за нас: мы просто повторяем его мыслительный процесс.…
Соответственно, при чтении мы, по большей части, освобождаемся от работы мышления. … Из этого вытекает тот, кто читает очень много и почти весь день, а в перерывах восстанавливается бездумным времяпрепровождением, постепенно теряет способность мыслить самостоятельно - как тот, кто всегда ездит, забывает в конце концов, как ходить. Но так обстоит дело со многими учеными: они считали себя глупыми. Ибо постоянное чтение, которое сразу же возвращается в каждую свободную минуту, парализует еще больше, чем постоянный физический труд, поскольку в последнем мы все еще можем размышлять о наших собственных мыслях. Но точно так же, как спиральная пружина в конце концов теряет свою эластичность из-за длительного давления инородного тела, так и разум из-за постоянной силы мыслей других людей.
Это плохо с эпистемологической точки зрения, но особенно плохо для достижения нового понимания. Как вы можете думать о мыслях, о которых никогда не думали раньше, если полагаетесь на мышление других?
Per Kant:
Просветление - это выход человека из собственного меньшинства. Меньшинство - это неспособность использовать собственное понимание без указания другого. Это меньшинство само по себе, когда его причина не в непонимании, а в отсутствии решимости и смелости использовать его без указаний другого. Sapere aude! Не бойтесь быть мудрыми!
Одно ключевое противоядие: [[Пишите о том, что вы читаете]]
!!!Ссылки
Kant, I. (1996). An answer to the question: What is enlightenment? In A. Wood (Ed.), & M. J. Gregor (Trans.), Practical philosophy (pp. 11–22). https://doi.org/10.1017/CBO9780511813306.005 (Original work published 1784)
Schopenhauer, A. (2015). On reading and books. In C. Janaway (Ed.), & A. Del Caro (Trans.), Parerga and Paralipomena: Short Philosophical Essays (Vol. 2). https://doi.org/10.1017/CBO9781139016889 (Original work published 1851)
Stop Relying on a Source and Have Faith in Your own Thoughts • Zettelkasten Method
I had believed that texts contain information, and that it was my job to make the information accessible.
Ralph Waldo Emerson, “Self-Reliance” (via Nielsen, M. A. (2003, September 8). Extreme thinking. Tough Learning, Brisbane, Australia.):
It is easy {in the world to live after the world’s opinion}; it is easy {in solitude to live after our own}; but the great man is he who {in the midst of the crowd} keeps {with perfect sweetness} {the independence of solitude}.
[[[Do your own thinking]|https://notes.andymatuschak.org/z4enRPbLXdD8X8hCfVjaRkcGkronvhcfrgSQw]]
См. [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]].
Возможно, через время отклика?
!!!References
Как мы можем гарантировать, что пользователи не просто узнают поверхностные особенности вопросов? Один вопрос в Quantum Country: «Кто добился прогресса в использовании квантовых компьютеров для моделирования квантовой теории поля?» с ответом: «Джон Прескилл и его сотрудники». Это единственный вопрос «Кто…?» Вопрос во всем эссе, и многие пользователи быстро учатся узнавать его по одному «Кто…?» шаблон и попугай ответ, не углубляясь в вопрос. Это распространенный вид сбоя в системах памяти, и его невозможно понять. Один из ответов, который мы планируем в ближайшее время опробовать, - это представить вопрос в нескольких различных, но эквивалентных формах. Таким образом, пользователь сначала видит вопрос как «Кто добился прогресса и т. Д. ?»; но затем во второй раз вопрос представляется как заполнение пропусков: « _ и его сотрудники добились прогресса в использовании квантовых компьютеров для моделирования квантовой теории поля». И так далее, множество различных форм вопроса, разработанных таким образом, чтобы пользователь всегда был глубоко погружен в смысл вопроса, а не на его внешний вид.
''TODO'' В конечном счете, мы хотели бы ''разработать библиотеку методов ''для определения того, когда возникает этот паттерн изучения поверхностных особенностей, и для его исправления.
Учебные мероприятия часто можно сделать более эффективными, создав трудности.
Некоторые примеры, которые Роберт А. Бьорк (1994) приводит как улучшающие долгосрочные результаты экспериментов:
* Перемешивание разнородных задач вместо группировки повторов по типу задачи
* Изменение параметров задачи
* Изменение экологического контекста учебных занятий
* Создание «контекстной интерференции», требующей большего внимания: например, путем предоставления ресурсов, которые различаются по структурной организации
* Уменьшение частоты обратной связи (например, путем предоставления совокупной обратной связи каждые N испытаний или путем уменьшения частоты обратной связи с течением времени)
Одна неизменная тема всех этих манипуляций заключается в том, что они снижают производительность во время самой тренировки, но дают лучшие долгосрочные результаты. Этот поворот, вероятно, затрудняет применение некоторых из этих манипуляций в учебной деятельности, поскольку они заставят учащихся почувствовать, что они тоже не учатся. например (Бьорк, снова 1994):
Такой процесс кондиционирования со временем может подтолкнуть тренера к манипуляциям, которые увеличивают скорость правильного реагирования, что, так сказать, облегчает жизнь обучаемого. Это, конечно, уведет преподавателя от введения типов желаемых трудностей, описанных в предыдущем разделе.
Хуже того, могут существовать сложные институциональные барьеры: инструкторов можно оценивать по немедленным (а не долгосрочным) результатам; или у них может не быть возможности наблюдать за долгосрочными показателями.
Помимо этого краткосрочного переворота, ученики могут избегать «желаемых трудностей», потому что они верят, что их память / понимание сильнее, чем они есть на самом деле. Бьорк предполагает, что «обучение часто бывает неоптимальным, потому что оно не учитывает изменчивость, задержки, неопределенности и другие проблемы, с которыми, как ожидается, ученик может столкнуться в реальной рабочей обстановке того или иного рода» (см. Также [[Трансферное обучение]]).
"""
Q. Какое противоречивое влияние на выполнение тренировочных заданий оказывает повышенная сложность?
A. Обычно это снижает производительность во время тренировки, но улучшает ее в долгосрочной перспективе.
Q. Почему учащиеся могут поверить в то, что введение трудностей в практические занятия ухудшает их обучение?
A. Дополнительные трудности часто ухудшают производительность во время тренировки (увеличивая при этом долгосрочную результативность).
Q. Почему тренеры могут быть институционально лишены стимулов к добавлению желаемых трудностей в тренировочную деятельность?
A. Их можно оценить по краткосрочным показателям студентов.
Q. Почему тренеры могут быть не в состоянии увидеть долгосрочное влияние трудностей, добавленных к тренировочным упражнениям?
A. График обучения может быть слишком коротким, чтобы увидеть улучшения, которые могут возникнуть в результате более сложных тренировок. С другой стороны, они могут никогда не увидеть реальных результатов своих учеников.
"""
!!!References
Bjork, R. A. (1994). Memory and Metamemory Considerations in the Training of Human Beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about Knowing (pp. 185–205). MIT Press.
!!!Back links
* [[Эффект тестирования]]
** Практика поиска приводит к более прочной долговременной памяти, чем просто изучение материала, например, путем повторного чтения материала, несмотря на то, что студенты будут менее успешными во время самой практики (Roediger, 2006). Похожее: [[Желательные трудности, после Бьорк]].
* [[Трансферное обучение]]
** См. также [[Желательные трудности, после Бьорк]]
* [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]]
** См. также [[Желательные трудности, после Бьорк]]
* [[Двухкомпонентная модель памяти]]
** Стабильность увеличивается с каждым просмотром, так что возможность извлечения падает медленнее с каждым повторением (см. [[Эффект интервала]]). Извлечение, по-видимому, повышает стабильность больше, когда извлекаемость низкая: то есть [[Менее доступные воспоминания более подкрепляются извлечением]] (см. также [[Желательные трудности, после Бьорк]], [[Supermemo]] [пытается охарактеризовать эту взаимосвязь с помощью экспоненциальной кривой](https://supermemo.guru/wiki/Spacing_effect_gain), но сложность модели достаточно высока, поэтому я скептически отношусь к ней.
* [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]]
* Kang, S. H. K., McDermott, K. B., & Roediger, H. L. (2007). Test format and corrective feedback modify the effect of testing on long-term retention. European Journal of Cognitive Psychology, 19(4–5), 528–558
[https://doi.org/10.1080/09541440601056620](https://doi.org/10.1080/09541440601056620)
* Или это лучший формат исследования по поиску ([[Желательные трудности, после Бьорк]])? Являются ли дополнительные усилия, затраченные на ответы на короткие вопросы, причиной повышения производительности памяти? Данные, кажется, предполагают такую интерпретацию, поскольку изучение с помощью коротких ответов дало наиболее надежное удержание в любом виде пост-теста.
**Roediger, H. L., & Karpicke, J. D. (2006). The Power of Testing Memory: Basic Research and Implications for Educational Practice. Perspectives on Psychological Science, 1(3), 181–210..
[https://doi.org/10.1111/j.1745-6916.2006.00012.x](https://doi.org/10.1111/j.1745-6916.2006.00012.x) ]]
* Различные эксперименты показывают, что увеличение усилий по извлечению улучшает последующее удержание; это говорит о том, что сам процесс поиска и извлечения играет роль в эффекте тестирования. См. также [[Желательные трудности, после Бьорк]].
** [[Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology: Human Learning & Memory, 4(6), 592–604.
[https://doi.org/10.1037/0278-7393.4.6.592](https://doi.org/10.1037/0278-7393.4.6.592) ]]
* В обсуждении авторы отмечают, что преимущество не может быть связано исключительно с аргументом глубины обработки (например, [[Желательные трудности, после Бьорк]]), так как правило рифмы не демонстрирует эффекта менее сильно, чем другие гораздо более сложные правила.
Каждый день я начинаю заметку с датой этого дня, например 2020-03-12.
Он фиксирует эфемеры в течение дня: отражения, царапины и т. д.
//Эфеме́ра// — любая временная запись в бумажном или печатном виде, не предназначенная для последующего сохранения или долгосрочного использования. Заметка-однодневка ([[Эфемера wiki|https://ru.wikipedia.org/wiki/%D0%AD%D1%84%D0%B5%D0%BC%D0%B5%D1%80%D0%B0]]).
Это преднамеренная свалка, выпускной клапан, так что всегда есть «место, куда можно положить эту вещь».
В [[Таксономия (cистематика) типов заметок]] это слой с самой низкой точностью воспроизведения, недолговечный по замыслу. Но поскольку мысли о царапинах выглядят так, как будто у них могут быть ноги, они извлекаются в заметку в моем почтовом ящике [[Почтовый ящик для временных и неполных заметок]].
Иногда я использую ежедневный рабочий журнал в качестве места для черчения и могу извлекать разделы примерно как есть в [[Вечнозеленые заметки]].
Для меня важны следующие моменты:
1. Это пространство, куда я могу положить что угодно и не чувствовать трения. [[Закрыть открытые петли]]
2. Я чувствую естественное давление, чтобы извлечь все, что хочет «пережить день» - продвинуться вверх по [[Таксономия (cистематика) типов заметок]].
Поскольку ежедневный рабочий журнал также является живой заметкой, он также функционирует как полезная заглушка для [[Контекстные обратные ссылки]]: [[Обратные ссылки могут быть использованы для неявного определения узлов в системах управления знаниями]].
Когда [[Вечнозеленые заметки]] размножаются и хорошо названы, эти заголовки становятся абстракцией для самой заметки. На все идеи заметки можно затем ссылаться с помощью этого дескриптора (см. [[Дескрипторы, после Александра]] ). На самом деле, это свойство само по себе функционирует как своего рода лакмус: по мере того, как вы развиваете идеи в заметках с течением времени и улучшаете «API», вы сможете писать отдельные заметки, которые абстрагируются по все более крупным поддеревьям (например, [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]] , [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] .
Некоторые эффективные методы нот «дизайн API»: разделение проблем ( [[Вечнозеленые заметки должны быть атомарными]]), острые заголовки ( [[Предпочитайте заголовки заметок с полными фразами, чтобы обострить утверждение]]) и положительные фрейминги ( [[Предпочитайте положительные названия заметок, чтобы продвигать систематическую теорию]]).
Похожее: [[Основанные претензии, после Цянь и др.]]
Проблема с закрытием подсказок на удаление была общей темой от отзывов до [[Как писать хорошие подсказки|https://andymatuschak.org/prompts]]. Мне кажется, что люди часто забывали ответы на эти вопросы, но это казалось менее оправданным, чем подсказки вопросов и ответов . Проблемы здесь выходят за рамки проблем с самостоятельно созданными подсказками закрытия ([[Запросы на «заполнение пробела», кажется, дают меньше понимания, чем пары вопрос / ответ в системах памяти с интервальным повторением]]): они специфичны для создания подсказок в [[Мнемоническая среда]].
Многие люди чувствовали, что то, что они забывают, было моей формулировкой, а не какой-то четко определенной экзогенной частью знания ([[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]]). В каком-то смысле это, наверное, правда. Закрытые удаления могут потребовать, чтобы читатели дополнительно запомнили, что задает им вопрос, в большей степени: см. [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]] для более подробного обсуждения этой проблемы. Это означает, что запросы закрытия обычно не проходят [[Эвристика ответа эксперта, after Issa Rice]].
Сорен Бьорнстад :
::Теперь некоторые мысли (и вопросы, если есть время) по закрытию удалений. Похоже, что до сих пор у меня возникли особые проблемы с закрывающими удалениями в элементах Орбиты в статье (доля скептицизма: пока что я провел только текст и одну сессию обзора, и у меня нет реальной объективной статистики по моим производительность на картах). Гипотеза:возможно, подсказки других людей особенно плохо передаются при закрытых удалениях при использовании с более расплывчатыми, более концептуальными знаниями, такими как эта статья, поскольку они больше полагаются на формулировку автора, и точные слова, которые я использую, будут больше отличаться от точных слов, которые вы используете, чем наши представления о концепции? Субъективно вопросы вызывают меньше лингвистической обработки, чем закрытие удалений, по крайней мере, для меня - процесс ответа на вопрос больше похож на «мысленно представить вопрос, найти правильную ссылку», в то время как закрытое удаление больше похоже на «найти правильные слова» поставить приговор ».
…
Мне кажется, это точная оценка. И обновленная информация о результатах анализа за месяц или около того: я узнал о многих из них, но те, с которыми у меня по-прежнему возникают проблемы, все попадают в эту категорию.
Задачи, оставленные невыполненными, наблюдения, оставленные незарегистрированными, ответы, которые еще не были написаны - эти водовороты в нашем сознании, как будто мы повторяем их снова и снова, чтобы убедиться, что они не забыты.
Чтобы избавиться от этого
нытье
и создать «разум, подобный воде» (если использовать термин Аллена, 2015), построить системы, которые надежно замыкают эти открытые петли.
Например: для оперативных задач это означает (Allen, 2015):
# Вы должны иметь возможность записывать задачу где угодно
# Вы регулярно сливаете задачи из этого списка
# Вы регулярно делегируете, реорганизуете или удаляете задачи, которым не можете назначить приоритеты.
Взятые вместе, эти свойства гарантируют, что когда вы записываете задачу, вы можете перестать думать о ней. Как демонстрирует большинство систем дел, повсеместного захвата недостаточно. Если вы не просматриваете регулярно свой список задач и не решаете удалить или изменить стратегию оставшихся задач, вы не сможете быть уверены, что будете выполнять задачи, которые записываете.
См. Также Почтовый ящик для чтения, где можно найти полезные ссылки.
Если чтение и написание заметок не преподносят новых Insights, в чем смысл?
Если мы просто хотели что-то запомнить, у нас есть для этого интервальные повторения, с [[Эффект интервала]]. Если бы мы просто хотели полностью понять конкретную идею в каком-то местном контексте, мы бы не беспокоились о сохранении системы заметок с течением времени.
Вот почему у нас есть плотные сети ссылок [[Вечнозеленые заметки должны быть тесно связаны]]: чтобы поиск и их чтение помогало нам видеть неожиданные связи.
::TODO к этому абзацу. Сделать новую заметку про поиск. Поиск - это не только классический поиск по словам, но и построение графов, семантическая подборка через GTR, что еще?::
Вот почему мы считаем, что [[Вечнозеленые заметки должны быть концептуальными]]: чтобы, когда мы пишем об идее, которая кажется новой, мы наткнулись на то, что мы уже писали о ней (возможно, неожиданно) и посмотрели прошлый контекст.
---
!!!Ссылки
Луман, Н. (1992). Общение с ящиками скольжения. В A. Kieserling (Ed.), & M. Kuehn (Trans.), Universität als Milieu: Kleine Schriften (стр. 53–61). Получено с http://luhmann.surge.sh/communicating-with-slip-boxes.
Одна из основных предпосылок общения - это то, что партнеры могут удивлять друг друга. Только так информация может быть произведена в соответствующем другом.
Расширьте свой разум и память с помощью [[Zettelkasten]]
Если вы ищете что-то в своем Zettelkasten, вам нужно получить неожиданные результаты, чтобы сформировать новые мысли. Как я отмечал в своем вводном посте по этой теме [[Zettelkasten для улучшения мышления и письма|https://zettelkasten.de/posts/zettelkasten-improves-thinking-writing/]], здесь ключевой ингредиент - сюрприз. Связи между заметками делают это возможным, поскольку вы будете генерировать новые идеи, отслеживая связи и исследуя часть своей паутины заметок. Невидимые связи обычно более полезны для творческого мышления, чем очевидные, поскольку вызывают большее удивление. В то время как ваш разум обычно продолжает работать с очевидным, ваш Zettelkasten вместо этого показывает вам странное. Это пробуждает ваше воображение и поражает воображение, когда вы сталкиваетесь с неожиданностями.
Кроме того, это открывает возможности объединять мысли на протяжении многих лет, что, в свою очередь, порождает моменты удивления. В конечном итоге это приводит к обнаружению непредвиденных связей и позволяет вам мыслить нестандартно.
[[[Notes should surprise you]|https://notes.andymatuschak.org/z4KZ9973AoHhvM9Pj5Qrds48JXNbMEwVJmVRw]]
Замещение деятельности - это самоуспокаивающие виды деятельности, которые люди (и животные) выполняют, когда они сильно мотивированы на выполнение различных действий, а также когда они не могут или не уверены, что делать дальше. Такое поведение также связано со стрессом и тревогой
"""
::TODO Современные образовательные процессы не учитывает ресурсность ученика]]
"""
Например, люди чешут в затылке, когда не знают, какой вариант выбрать. Или они отвечают на срочные электронные письма (или обновляют информацию в социальных сетях), когда они беспокоятся о сложной интеллектуальной работе: см. [[Культурные привычки по умолчанию заполняют свободное время чужими идеями]].
Животные склонны ухаживать, прихорашиваться или чесаться в аналогичных ситуациях.
Смотрите также [[Командная среда позволяет легко обмануть себя действиями по замещению внимания]].
"""
Q. Когда животные занимаются вытеснением?
A. В состоянии стресса или беспокойства; когда не уверены или разрываетесь по поводу дальнейших действий.
Q. Как работники умственного труда проявляют деятельность по вытеснению?
A. Выполнение множества простых срочных задач вместо весьма неопределенных, но важных задач.
"""
[[§Система интервального повторения]] зависит от [[Эффект тестирования]]: вы запомните что-то лучше, если вам действительно нужно извлечь это из памяти, чем если бы вы просто снова столкнулись с этим. Поэтому при написании подсказок убедитесь, что подсказка требует, чтобы читатель действительно извлек памяти информацию, которую вы хотите закрепить у него.
Избегайте «наводящих вопросов» - вопросов, которые подразумевают их собственный ответ, - потому что тогда рецензенты не будут извлекать ответы из памяти. Например, это наводящий вопрос: «В ситуациях человеческого масштаба, как правило, лучше спросить:«Является ли X истинным?» или «В каком смысле X истинен?». Вопрос, очевидно, побуждает вас выбрать последний вариант. Это плохо и по нескольким другим причинам: слишком напористо, слишком уверенно, слишком расплывчато о контексте. Лучшая альтернатива: «Q: Что представляет собой характерный мета-рациональный ответ на вопрос« Является ли X правдой?»; A: «В каком смысле?» ».
Один частый частный случай, на который следует обратить внимание: [[Избегайте повторения подсказок типа «ДА - НЕТ»]].
В более общем смысле, представьте себе интервальное повторение как медленное создание «бороздок» в уме. Когда вы пишете вопросы, вы формируете желобки: вы закрепляете те пути, которые вспыхивают в голове человека, когда он отвечает на вопрос. В этом смысле вопросы истинно / ложно - слабы: они в основном усиливают одну бинарную деталь. Лучше формулировать вопросы, чтобы получить четкое, подробное и конкретное обращение к памяти. Вместо «Что обычно выше: нимбовое облако или кучево-дождевое облако?» Вы можете спросить: «В каких высотных регионах облаков обитают кучево-дождевые облака?» и «Какой тип облака самый большой?»
По теме: [[Желательные трудности, после Бьорк]].
Если вы только что узнали новый способ приготовления гороха, вы можете написать подсказку для [[§Система интервального повторения]], например: «Q. Как приготовить горох су-вид?» «А. 18 мин при 70 ° C». Но я считаю, что такие вопросы обычно вызывают затруднения - я часто забываю ответ. Кажется, что вопросы, основанные на нескольких независимых идеях, не позволяют решить эту проблему.
Почему важно, чтобы вопросы были сосредоточены на одной идее? Майкл Нильсен (2018) предлагает:
:: Я подозреваю, что отчасти дело в сосредоточенности. Когда я делал ошибки с комбинированным вопросом, я часто не понимал, в чем именно была моя ошибка. Это означало, что я недостаточно сосредоточился на ошибке и поэтому не многому научился на своей ошибке. Когда я терплю неудачу с атомарными вопросами, мой разум точно знает, на чем надо сосредоточиться.
Что составляет «одну идею»? Это зависит от вашего предыдущего контекста; «Одна идея», кажется, состоит из одного шага поверх тех знаний, которые вы уже глубоко усвоили. Другой способ взглянуть на это может быть связан с [[«Чанки» в человеческом познании]]: отдельная идея выражается одним «фрагментом», что бы это ни значило для вас.
Исправление в таких случаях простое: разбейте вопрос на несколько более простых вопросов. Затем, возможно, добавьте еще один вопрос, который объединяет эти два более простых вопроса. (Это похоже на возможность для повторения с интервалом и моделирования знаний ). Процесс написания вопросов, сфокусированных именно на одной идее, похоже, помогает мне заострить внимание на ключевых элементах темы (один угол [[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]]).
Возняк (1999) предоставляет хороший пример (также демонстрирующий, что [[Подсказки с интервалом повторения в памяти должны быть краткими]]):
"""
Неправильно сформулированные знания - сложные и многословные
Q: Каковы характеристики Мертвого моря?
A: Соленое озеро, расположенное на границе между Израилем и Иорданией. Его береговая линия - самая низкая точка на поверхности Земли, в среднем 396 м ниже уровня моря. Его длина 74 км. Он в семь раз соленее (30% по объему), чем океан. Его плотность держит пловцов на плаву. Только простые организмы могут жить в его соленой воде.
Хорошо сформулированные знания - просто и конкретно.
Q: Где находится Мертвое море?
A: на границе между Израилем и Иорданией.
Q: Какая самая низкая точка на поверхности Земли?
A: Береговая линия Мертвого моря. В
: На каком среднем уровне находится Мертвое море?
A: 400 метров(ниже уровня моря) В
: Какова длина Мертвого моря?
О: 70 км. В
: Насколько Мертвое море соленее, чем океаны?
A: 7 раз.
Q: Каков объем соли в Мертвом море?
О: 30%. В
: Почему Мертвое море может удерживать пловцов на плаву?
О: из-за высокого содержания соли.
Q: Почему Мертвое море называют Мертвым?
A: потому что в нем могут жить только простые организмы.
Q: Почему только простые организмы могут жить в Мертвом море?
A: из-за высокого содержания соли
Q. Подсказки SRS обычно должны фокусироваться на одной атомарной единице. Как определяется «одна атомная единица»?
A. Зависит от сложности ваших предварительных знаний. Одна из идей - это простая комбинация уже закодированных фрагментов.
Q. Почему MN считает, что подсказки SRS, ориентированные на более чем одну идею, не работают?
A. Когда вы делаете ошибку в комбинированном вопросе, труднее четко сосредоточиться на том, где именно была ошибка.
"""
Записывать подсказки для «заполнения пробела» (Cloze Deletion - термин из Anki) намного проще: вы можете просто скопировать / вставить некоторый исходный текст и удалить какую-то фразу. Но я считаю, что подсказки, созданные таким образом, обычно приводят к более поверхностному пониманию. После нескольких повторений я запомню ответ, но мне часто кажется, что я ищу сопоставление с образцом ([[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]), вместо того, чтобы глубоко интегрировать идею в мою концептуальную сеть. Вероятно, это связано с тем, что закрытые удаления обычно содержат много посторонней информации, которую можно использовать в качестве «подсказок».
Другие факторы, которые могут быть задействованы:
* [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]], но «заполнения пробела» захватывает идею под одним углом.
* [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]], но «заполнение пробела» обычно представляют собой повествовательную прозу, которая обычно не так сфокусирована.
* [[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]], а написание «заполнений пробела» требует гораздо меньше усилий.
* [[Подсказки с интервалом повторения в памяти должны быть краткими]], но «заполнение пробела» обычно представляют собой повествовательную прозу, которая включает в себя множество слов, которые не обязательно имеют отношение к специфике подсказки.
* «Заполнение пробела» часто имеют проблемы с двусмысленностью, поскольку они используют синтаксическую структуру, чтобы предложить то, что они спрашивают; см. [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]], и [[Подсказки должны четко указывать, какой «формы» ответа они ожидают]].
**Мне не известны какие-либо конкретные доказательства по любому из этих вопросов.**
С другой стороны, «Заполнение пробела» - чрезвычайно эффективный способ создания новых приглашений, и [[Ограничивающим фактором в пропускной способности системы с интервалом повторения является написание достаточного количества хороших подсказок]]. Если вы выбираете между «заполнением пробела» закрытие и вообще ничем - «заполнение пробела» определенно лучше!
Обратите внимание, что эти наблюдения относятся к влиянию запросов на «заполнения пробела» на память. «Заполнения пробелов» могут отлично работать для приложений [[Своевременный текст]], таких как [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]: это теория, на основе которой Readwise делает упор на них.
!!!References
Wozniak, P. (1999, February). [[Effective learning: Twenty rules of formulating knowledge|https://www.supermemo.com/en/archives1990-2015/articles/20rules]]
Одна из проблем, связанных с эффективностью [[§Система интервального повторения]], заключается в том, что иногда пользователи запоминают ответы на вопросы неглубоко, посредством «сопоставления с образцом», а не путем более глубокой интеграции знаний или фактического обдумывания вопроса. Но [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]].
Например, в QCVC есть только один вопрос типа «кто», то есть тот, который запрашивает имя человека. После нескольких повторений читатели могут узнать, что всякий раз, когда они видят вопрос типа «кто» о квантовых вычислениях, ответ - Джон Прескилл. Но эти поверхностные знания не пригодятся им в настоящей творческой работе.
Один из подходов к решению этой проблемы состоит в построении вариантов вопроса (с одним и тем же ответом), что затрудняет сопоставление с образцом.
Другой, но связанный подход заключается в кодировании информации под разными углами: не просто с разных вопросов с одним и тем же ответом, но с разных пар вопросов / ответов, показывающих, как информация вписывается в более широкий контекст (т.е. [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]]). Например, если вы добавите несколько вопросов о специфике того, что обнаружил Джон Прескилл, почему это важно и как его работы соотносятся с другими, его имя будет добавлено к более обширному набору знаний. Возможно, пример Джона Прескилла в QCVC - это «сиротская подсказка» ([[Избегайте сиротских подсказок с повторяющимися интервалами в памяти]]). Такие подсказки кажутся более восприимчивыми к этому явлению; добавление большего количества связей сделало бы его больше не сиротой.
Другой подход состоит в том, чтобы побудить пользователей гибко использовать свои знания в новых контекстах (например, [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]). Я не совсем уверен, как вы могли бы сделать это для примера Джона Прескилла, но это могло бы работать лучше для запоминаемых констант.
На собственном опыте я заметил, что более короткие подсказки несколько менее подвержены этой проблеме, возможно, потому, что там меньше деталей для сопоставления с образцом. Это еще одна причина, по которой [[Подсказки с интервалом повторения в памяти должны быть краткими]].
[[Есть ли способ обнаружить подсказки памяти с интервалом повторения, на которые, вероятно, будет дан ответ посредством сопоставления с образцом?]]
"""
Q. Как связь подсказок SRS связана с сопоставлением с образцом?
A. Подсказки с низким уровнем связи (особенно «сироты») с большей вероятностью будут сопоставлены с шаблоном.
Q. Как подсказки приложения могут помочь в сопоставлении с образцом SRS?
A. Они заставляют вас использовать свои знания в новом контексте.
Q. Как длина подсказки SRS связана с сопоставлением с образцом?
A. Более короткие подсказки сложнее сопоставить с образцом.
"""
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], но [[Ответы на запросы приложения не следует извлекать из памяти]]. Наше простое решение состоит в том, что мы каждый раз будем задавать читателям разные вопросы, чтобы читатели всегда определяли ответ заново.
С практической точки зрения вариантов будет всего несколько, поскольку они созданы вручную: [[Варианты подсказок приложения сложно автоматизировать]]. Но поскольку они будут представлены через много недель, читатели вряд ли запомнят ответы.
Мы ориентируемся примерно на 5 вариантов для каждого запроса, но реализации должны поддерживать подсчет переменных вариаций.
"""
Q. Что произойдет, если вопрос, задаваемый в приглашении приложения на мнемоническом носителе, не меняется от сеанса к сеансу?
A. Запрос приложения превращается в запрос отзыва.
"""
!!!Рекомендации
::Учитывая все это, я склонен (а) написать таргетинг на 5 вариантов; (б) спроектировать его так, чтобы количество вариаций могло быть переменным. Так, например, если иногда я становлюсь ленивым и использую только 3 или 4 варианта, это нормально. Но если я иногда вдохновляюсь и пишу 8, это тоже должно быть хорошо.
https://notes.andymatuschak.org/z7hqxNNJkeS2eta2eVaUx7cGB27axq2bw3h2y
Основной тип подсказки в [[Мнемоническая среда]] - это подсказка атомарного отзыва в типичном стиле [[§Система интервального повторения]]: атомарная, строго проверяющая вашу память.
Напротив, основной тип подсказки Execute Program - это или, по крайней мере, выглядит так: подсказка приложения (см. [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]).
Студентов просят применить то, что они узнали, к примеру, либо предсказав его результат, либо изменив пример для достижения некоторой цели. Например:
"""
Q. Каков результат `/a..b/.test(“a\ncb”)?`
А. `false`
"""
Это похоже на приглашение приложения в том смысле, что читателя просят применить то, что он узнал (это приглашение проверяет несколько понятий, в основном которые не совпадают `\n`). В контексте урока, знакомящего с этой концепцией, это в значительной степени подсказка приложения. Но это не похоже на подсказку приложения, потому что она дословно появляется на следующий день, и через несколько дней и т.д., напротив - [[Запросы приложения должны изменяться при повторении]]. [[Ответы на подсказки приложения не следует извлекать из памяти]], поэтому подсказка //становится// подсказкой отзыва после первой или двух презентаций.
Таким образом, приглашения Execute Program со знанием процедур со временем становятся подсказками с декларативным знанием. И наоборот, поскольку [[Execute Program не имеет неисполняемых запросов]] , все ее запросы с декларативными знаниями сформулированы в терминах запросов с процедурными знаниями.
Подробнее о значении этого различия: [[В какой степени подсказки приложения могут вытеснять подсказки отзыва в мнемонической среде?]]?
"""
Q. Запросы Execute Program изначально ведут себя как запросы _ _, ''но со временем становятся больше похожими на запросы _ _''.
A. приложение, отзыв
"""
Возможно, только 100–1 млн человек будут выполнять важную работу по климатическим технологиям. Но влияние СМИ на эту тему не ограничивается влиянием только на этих людей. Другие читатели, которые не практикуют в этой области, но которым интересна тема, могут использовать эти знания в своей роли в качестве узлов в «сети идей» общества.
С лучшим пониманием они смогут отличать лучшие идеи от плохих, и соответственно они будут усиливаться или ослабляться. Это особенно полезно в таких областях, как изменение климата, долголетие, BCI и т. Д., Где много шарлатанов и неэффективных доброжелателей.
Новые идеи могут появиться только тогда, когда предварительным идеям удастся распространиться через «сеть идей» и достичь соответствующих узлов. Даже неспециалисты и не практикующие могут сыграть здесь свою роль. Если они усугубляют бессмыслицу, они затрудняют случайное распространение идей экспертов между экспертами, потому что самый надежный путь между двумя экспертами может лежать через неспециалистов.
!!!References
* [[Simler, K. (2019, May 13). Going Critical. Retrieved December 29, 2019|https://meltingasphalt.com/interactive/going-critical]]
* [[Patrick Collison on project plans - 2019-12-24|https://notes.andymatuschak.org/z7crqahuuZZqzsRNKKV2ZkbmjLgcFb5CoCecF]]
После того, как Фриц Махлуп в 1962 году ввел «отрасли знаний» в качестве ключевой экономической проблемы США, Питер Друкер описал эту деятельность как «работу знаний» в 1969 году. ::Или, возможно, в 1966 году в *«Эффективном исполнительном директоре*» необходимо будет проверить::
Махлап указывает в 1962 году, что 29% ВВП США приходится на «индустрию знаний».
!!!Ссылки
Друкер, П. Ф. (1970). Возраст разрыва: Руководящие принципы для нашего меняющегося общества*. Лондон, Англия: William Heineman Ltd.
Махлуп, Ф. (1962).*Производство и распространение знаний в Соединенных Штатах*. Принстон, Нью-Джерси: Издательство Принстонского университета.
Многие мероприятия в работе по [[Знания]] , похоже, являются эфемерными усилиями, их результаты в основном отбрасываются после их завершения.
Вы можете проснуться от действительно сложного электронного письма и понять, что оно связано с чем-то, о чем вы думали в течение некоторого времени. Вы можете потратить час на написание тщательного ответа, фиксируя свое последнее мышление. И теперь… он живет в вашей папке «отправлено» и на короткое время в впечатлении на ваш разум и вашего коллеги. Усилия накапливаются только в той мере, в какой эта работа тонко влияет на мышление вашего и вашего коллеги с течением времени.
Аналогичным образом, [[Большинство людей делают только временные заметки]], хотя с эффективной практикой они являются важной основой; см. [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] .
Мы должны стремиться разрабатывать практические системы, которые приносят совокупную отдачу от наших усилий по мере их накопления с течением времени.
[[§Система интервального повторения]] достигает этого для памяти: когда вы найдете информацию полезной, вы можете приложить немного усилий, чтобы убедиться, что она всегда доступна. Со временем библиотека повторений с интервалом накапливает тысячи вопросов, и (я сильно подозреваю) что знания облегчают работу эффективного работника по знаниям позже.
Хэмминг ярко иллюстрирует этот момент:
Вы отмечаете, что большинство великих ученых имеют огромный драйв. Я работал десять лет с Джоном Туки в Bell Labs. У него был огромный драйв. Однажды примерно через три или четыре года после того, как я присоединился, я обнаружил, что Джон Туки немного моложе меня. Джон был гением, а я явно нет. Ну, я вошел в офис Боде и сказал: «Как кто-то моего возраста может знать так же, как Джон Туки?» Он откинулся назад на стул, положил руки за голову, слегка усмехнулся и сказал: «Вы удивитесь Хэммингу, сколько бы вы знали, если бы работали так же усердно, как и он так много лет». Я просто вырываюсь из офиса!
Боде говорил следующее: «Знания и производительность похожи на сложный интерес». Учитывая двух людей примерно одинаковых способностей и одного человека, который работает на 10% больше, чем другой, последний более чем в два раза превысит первого. Чем больше ты знаешь, тем больше ты учишься; чем больше ты учишься, тем больше можешь сделать; чем больше ты можешь сделать, тем больше возможностей - это очень похоже на сложный интерес. Я не хочу давать вам ставку, но это очень высокая ставка. Учитывая двух людей с точно такими же способностями, один человек, которому изо дня в день удается получить еще один час мышления, будет чрезвычайно более продуктивным на протяжении всей жизни. Я принял замечание Боде близко к сердцу; я потратил гораздо больше своего времени в течение нескольких лет, пытаясь работать немного усерднее, и обнаружил, что, на самом деле, я могу сделать больше работы.
!!!Ссылки
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
Но самое главное, без постоянного резервуара идей вы не сможете развивать какие-либо крупные идеи в течение более длительного периода времени, потому что ограничиваете себя либо длиной одного проекта, либо емкостью своей памяти. Исключительные идеи нуждаются в гораздо большем, чем это.
13.08.2019 разговор с Анной Гат:
В Твиттере вы ничего не *строите*.
Матушак, А. (2019, декабрь). Серьезно относиться к работе с знаниями. Представлено в Stripe Convergence, Сан-Франциско.
Хэмминг, Р. У. (1997).*Искусство заниматься наукой и техникой: обучение учиться*. Гордон и Нарушение.
Все знают, как звучит виртуозная игра на фортепиано. Когда любитель играет, он, естественно, сравнивает себя с записью, которую слышал, и может довольно болезненно почувствовать, насколько возможно улучшение!
Напротив, когда люди принимают сложные решения, им обычно не хватает интуитивного чувства, что они любители. Военные офицеры обучены принимать стратегические и решительные решения, но это не особенно важно для владельца малого бизнеса. Принятие решений, как абстрактный навык, не появится в меню «навыки тяжелой атлетики».
Я подозреваю, что это одна из ключевых причин, почему [[Люди обычно развивают навыки до плато, а затем останавливаются]], и в частности, почему [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].
Если вы никогда не слышали о [[§Система интервального повторения]], неочевидно, что память может быть решенной проблемой.
Если вы никогда не слышали о [[Вечнозеленые заметки]], вероятно, для вас не очевидно, что [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].
Если живопись - это эстетическое средство зрения, музыка - эстетическое средство звука, а приготовление - эстетическое средство вкуса, то игра - это эстетическое средство *действия*, отмечает Frank Lantz.
Игры, конечно, включают в себя визуальные эффекты и музыку, но что действительно отличает их, так это то, что игрок *действует*. Геймдизайнеры могут выразить конкретный эстетический опыт, формируя действия игроков, чтобы заставить их иметь этот опыт (см. [[Реализованный опыт]]).
На самом деле, игры действительно являются эстетической средой действия. Погруженный театр иногда соответствует требованиям, но действия аудитории обычно второстепенны. В определенных поездках приключенческие гиды являются автором эстетического средства действия, но такие поездки, как правило, больше посвящены наблюдению, чем участию.
Вам не нужно гадать, решили ли вы головоломку в Witness: игра вам все расскажет. Вам не нужно гадать, правильно ли вы прицелились в шутере: визуальная и звуковая обратная связь вам это скажет.
Иногда окружающая среда передает эту обратную связь более неявно. Например, вы можете подумать, что у вас сильные навыки бега и прыжков, но тщательно продуманный промежуток между двумя выступами может быстро продемонстрировать, что вы еще не успели вовремя.
Явные задачи, подобные предыдущему примеру, могут быть специально поставлены разработчиками игр, но в более общем плане вся игровая среда предназначена для выявления пробелов в ментальных моделях игроков. Игроки предпринимают какие-то действия, ожидая результата. Затем игра представляет истинный результат, давая игрокам возможность заметить дельту. Хорошие игры гарантируют, что игроки не могут случайно поверить в правильность своей модели.
Противоречие. Большинство образовательных СМИ заставляют участников запускать свои собственные циклы обратной связи.
При перемещении по игре вам обычно не нужно гадать, готовы ли вы перейти к чему-то другому или куда вам следует пойти: игра сообщит вам об этом (возможно, неявно).
Иногда существует строгая последовательность уровней, которая должна быть решена по порядку. Составление плана тривиально; см. [[Детализированная последовательность задач как когнитивная опора]].
Более тонко, вы можете обнаружить, что битва с боссом зависит от вашей способности использовать лук и стрелы. Выходы из подземелий закрыты, поэтому больше некуда идти. Итак, вы приходите к очевидному выводу: вам нужно будет стать лучше на поклоне, пока вы не сможете победить босса. В другой игре вы можете обнаружить, что иногда пропускаете лук и стрелы, но всегда есть путь вперед, по крайней мере, на данный момент. Таким образом, вам не нужно работать над улучшением стрельбы из лука, если вы специально не хотите.
Даже в игре с открытым миром геймдизайнеры используют близость и аффективный дизайн, чтобы гарантировать, что по крайней мере одно привлекательное и подходящее место всегда является заметным. Если вы отправились в направлении, где задача слишком велика, игра даст понять, что вы должны адаптировать свои планы, и она представит очевидный альтернативный путь.
В общем, все это означает, что игроки могут сосредоточиться на действии, а не на попытке понять, что им следует сделать дальше.
Игровые дизайнеры - это одни из лучших учителей в мире. Они создают среды, которые надежно обучают сложным навыкам (часто даже без слов!). И люди любят этот опыт, в отличие от большинства образовательных опытов.
Но будьте осторожны, дизайнеры «образовательных игр»! - [[Развитие навыков в играх подчинено другим внутренне значимым целям]].
!!!Игра сама является участником
Игра - это [[Среда участия]]; Это то, что отличает его от телевидения и фильмов, показанных на одном телевидении. А [[Среда участия поддерживает обучение]]
!!!Игра - это поддерживающие строительные леса
Игровые дизайнеры тщательно развертывают [[Когнитивный каркас]], чтобы игроки постепенно развили нужные навыки и наслаждались игрой.
[[Детализированная последовательность задач как когнитивная опора]]: уровни тщательно секвенированы и структурированы для постепенного (безмолвного ) введения и развития игровых концепций. Завершение уровня часто требует от игрока, чтобы продемонстрировать, что он что-то понимает, поэтому добиться в игре прогресса это тоже самое, что и понять новые вещи.
[[Ограничения как когнитивные опоры]]: В Witness быстро становится ясно, что единственные интерактивные элементы - это те, которые выглядят как круг, соединенный с линией, и единственное возможное взаимодействие - это отслеживание линии.
[[Метакогнитивная поддержка как как когнитивная опора]] : поскольку они являются динамическими, игры также могут обеспечить динамическую поддержку для метапознания. В частности, [[Игры помогают игрокам оценить свои развивающие навыки]] и [[Игры помогают игрокам строить и адаптировать планы]].
!!!Игры полны принятого опыта
Игра является принятым опытом, поэтому в играх, таких как Braid (в отличие от наивной образовательной игры), игроки не чувствуют, что они «учатся». Эмоционально, их опыт заключается в том, что они строят свое собственное понимание, которое может их интенсивно удовлетворять; см. также [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]].
Смотрите также [[Обучающие игры пытаются научить через реализованный опыт]].
Если вы пытаетесь ответить на интересный вопрос, вы, вероятно, не сможете написать себе полную дорожную карту. Вы можете исследовать местность и снизить риски настолько, насколько это разумно, но вы достигнете пункта назначения, используя идеи и возможности, которые обнаруживаете на этом пути. Следовательно, очень важно держать глаза открытыми и не вводить себя в заблуждение: ваш прорыв может скрываться в том выбросе данных, который вы склонны опускать в своем анализе.
Если вам нужно быть предельно честным в разговоре с самим собой, вам лучше быть предельно честным, когда говорите с другими о своей работе. Я не думаю, что возможно создавать уклончивые маркетинговые сообщения о своем «большом прогрессе», не закрывая глаза на то, что на самом деле происходит. Напротив, если вы [[Работать с "поднятыми воротами гаража"]] и открыто обсуждаете проблемы, с которыми вы боретесь (иначе говоря, [[Антимаркетинг]], вы создаете цикл обратной связи, который вознаграждает скептицизм и честность. Вы делаете целостность неотъемлемой частью вашей личности, а не пытаясь отгородить его от ваших маркетинговых сообщений.
!!!References
The title is taken from:
Tufte, E. R. (2006). *The cognitive style of PowerPoint: Pitching out corrupts within*. Cheshire, Conn.: Graphics Press.
Подсказки типа "Да / Нет"для [[§Система интервального повторения]] являются привлекательной неприятностью. Многие простые утверждения, которые вы можете прочитать, в основном говорят: «X - правда». Очевидно, простой способ превратить это в вопрос - спросить: «Истинно ли X?» Но эти вопросы не очень полезны: [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]].
Вопросы типа «да / нет» обычно можно преобразовать в более сложные формы: [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]]. Например, если вы читаете [[«Клетки баклажана» - Чепмена]], вы, возможно, только что узнали, что метарациональность - это не «альтернатива» рациональности, а отдельная вещь. Итак, вы могли бы спросить: «Является ли метарациональность «альтернативой» рациональности?» Но знание того, что ответ «нет», не очень помогает. Лучше спросить: «Почему метарациональность не является альтернативой рациональности?»
При добавлении подсказок в [[§Система интервального повторения]] обычно ошибочно писать подсказки о деталях, которые кажутся интересными, но которые не связаны со всем остальным, о чем вы думаете. [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]] - и еще лучше заставить их соединяться и соотноситься с идеями, о которых вы регулярно думаете.
«Сиротские вопросы» (по Майклу Нильсену, 2018) вызывают две важные проблемы:
# Через некоторое время эти изолированные подсказки часто начинают казаться обузой во время сеанса проверки, поскольку они не связаны с тем, что вас действительно волнует (напротив, [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]).
#Скорее всего, вам будет труднее запоминать ответы на эти вопросы, поскольку они не получат естественного подкрепления в повседневной жизни. Даже если вы помните ответы, существует опасность, что они будут сопоставлены с шаблоном, потому что они не связаны с другими знаниями ([[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]])
По крайней мере, для меня одна распространенная ситуация, которая часто приводит к сиротским вопросам: кто-то делится интересной статьей в области, о которой я ничего не знаю; Читаю и пишу несколько подсказок. Несколько месяцев спустя я понятия не имею, зачем я их просматриваю. Они не связаны ни с чем, что я делаю или о чем думаю.
Майкл подчеркивает особо опасный случай «сирот»:
::Особенно стоит избегать сирот: отдельные вопросы, которые в значительной степени не связаны со всем остальным. Предположим, например, что я читаю статью на новую тему и узнаю идею, которая кажется особенно полезной. Я беру за правило никогда не задавать один вопрос. Скорее, я стараюсь задать хотя бы два вопроса, желательно три или больше. Обычно этого достаточно, чтобы это было хотя бы ядром небольшого полезного знания. Если это одинокая сирота, я неизбежно все время задаю неверный вопрос, и было бы напрасно входить в него вообще.
!!!References
Nielsen, M. (2018). [[Augmenting Long-term Memory|http://augmentingcognition.com/ltm.html]]
Представьте, что вы управляете дизайнерской студией в Древнем Риме. Королевский сборщик налогов навещает вас и спрашивает о видении будущего систем бухгалтерского учета. Оглядываясь назад, мы можем обнаружить катастрофическое концептуальное ограничение: они используют римские цифры для бухгалтерского учета! Тривиальные арифметические операции сложны и подвержены ошибкам. Конечно, есть много других проблем с их практикой, но мог ли процесс какой-либо дизайнерской студии способствовать изобретению индуистско-арабских цифр?
Эта система счисления представляет собой как глубокую конструкторскую работу, так и глубокое математическое понимание. Различное значение является отличным примером: значение числа меняется в зависимости от его положения, но числа в каждой позиции используют одни и те же визуальные представления (цифры) и операции (при добавлении 22 + 33 вы добавляете 2 + 3 в двух разных местах). Это самоподобие критически важно для мощности системы счисления. Он выражает как глубокие математические идеи (коммутативность, ассоциативность, распределенность), так и глубокие идеи в дизайне (абстрактное представление, экономичность, пространственность).
Чтобы изобрести эту систему счисления, вам потребуются исключительные навыки как в дизайне, так и в математике, способные к пониманию, создавая петлю обратной связи ([[Insight через создание]]), которая использует развивающуюся систему счисления не только для улучшения вашего собственного математического понимания, но и для получения оригинальных математических знаний мирового класса. идеи; и который использует эти идеи для улучшения развивающейся системы счисления.
Рассмотрим студийный дизайн-процесс. Вы бы тщательно опросили всех участников, чтобы понять их процесс. Вы бы расширили / разорвали бриф, пытаясь действительно получить доступ к тому, что подразумевается под «системами бухгалтерского учета», или даже задаваясь вопросом, почему бухгалтерский учет вообще должен происходить. Вы привлекли бы бухгалтеров и королевских математиков к процессу проектирования с помощью быстрых сеансов генерации идей и набросков. Вы регулярно возвращались в студию, чтобы синтезировать наброски участников и ваши наблюдения во что-то новое.
Такая практика, несомненно, улучшит бухгалтерские системы. Но это не дало бы ничего подобного математическому пониманию, необходимому для получения индо-арабских цифр, что, по-видимому, потребовало бы многих лет (или поколений?) Опытных разработок математика-проектировщика.
---
!!!References
Matuschak, A., & Nielsen, M. (2019 0). How can we develop transformative tools for thought? https://numinous.productions/ttft
[[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]]. Но [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]], а [[Перекодирование может увеличить размер чанка]]. Так что, когда вы, наконец, сможете узнать что-то, что вас ускользнуло, это может быть связано с тем, что вы, наконец, закодировали достаточно большие фрагменты ([[«Чанки» в человеческом познании]], представляющие составные части.
Миллер предложил более узкое толкование этого понятия в своей статье, в которой он ввел термин (1956, с. 95):
::Кажется [[вероятным|https://quoteinvestigator.com/2017/11/18/planning/]], что в этих терминах можно изучать даже запоминание. Процесс запоминания может быть простым формированием фрагментов или групп элементов, которые соединяются вместе, пока не останется достаточно фрагментов, чтобы мы могли вспомнить все элементы.
!!!References
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. [[Miller - The magical number seven, plus or minus two|https://doi.org/10.1037/h0043158]]
Как только кто-то поймет, что [[Системы памяти с интервалом повторения делают выбор в пользу памяти]] и что [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]], возникает ужасный соблазн поглощать новые знания, загружая чужие колоды подсказок [[§Система интервального повторения]]. Но если предположить, что вы никогда не изучали ее раньше, вам гораздо лучше прочитать главу из учебника по клеточной биологии, чем запоминать чужую колоду (deck).
Это конкретное утверждение о более общем явлении; см. [[Подсказки для интервального повторения сами по себе являются плохим средством коммуникации]]. Также случается, что большинство загружаемых колод SRS сделаны плохо: [[Трудно написать хорошие подсказки для интервального повторения]].
См. также: [[Мнемоническая среда]], которая пытается решить эту проблему.
По теме: [[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]]
!!!References
Adler, M., & van Doren, C. (1972). How to Read a Book. Simon & Schuster, Inc.
Инструменты для размышления
О финансировании:
[[Новые идеи пользовательского интерфейса - общественное достояние]]
(https://notes.andymatuschak.org/zXseK39g1SHgQvMXLbnaB1AUZ2WL5ffDzsbZ)
[[В какой степени можно думать о квадратичных инструментах предоставления финансирования?]]
(https://notes.andymatuschak.org/z2znyciwTKuthTj6cReuPpHX37odgwjvTZrWG)
[[В какой степени патронаж может финансировать создание инструментов для мысли?]]
(https://notes.andymatuschak.org/z7yW6uFDGHgKUruzdj7Le6GNRkvm2b7Db313c)
[[Я не знаю, как эффективно использовать большой капитал против инструментов для размышления]].
(https://notes.andymatuschak.org/z7RWaai8pAwgYzNnVtPxC85y6nizduVZb72ev)
В моей работе нет модели для превращения маржинального капитала в предельное понимание
Мы не оцениваем [[Mathematica|https://notes.andymatuschak.org/zihU6LodtWSUP6dGPDQmM4UqCp4sAXSvJAb]], не спрашивая, сколько учащихся её используют, не спрашивая о её влиянии на результаты тестов или измеряя, насколько быстрее она помогает людям решать задачи.
Все это в разной степени релевантные прокси-метрики (//relevant proxies//), но не истинное предназначение инструмента. Система Mathematica была создана как часть исследований Вольфрама в области манипуляции символами и автоматами, а затем в конечном итоге расширилась, чтобы дать возможность математикам и ученым в целом.
Соответственно, возникает соблазн оценить мнемоническую среду, задав вопрос, сколько люди запоминают после прочтения текста. Но не настоящая её цель!
Её настоящая цель - дать людям возможность делать больше из того, что они считают наиболее значимым, помочь им стать более самими собой. Нам нужно будет найти способ оценить этот показатель.
Если мы хотим предложить какой-то светский трансцендентный нарратив, мы должны в конечном итоге оценить всю нашу работу, относящуюся к этому - относительно придания смысла, отношения людей к миру, организации образа жизни людей и т. д. Конечно, нам понадобятся прокси-метрики, но это все, чем они будут. Сосредоточение внимания на этой цели стирает различия между «содержанием» и «инструментами» и подталкивает нас к поиску идей, которые будут лучше передавать смысл.
Лучшие обрамления включают:
* Сколько потолков Сикстинской капеллы создается на поколение? (за Алана)
* Создание [[The Primer ++]] или Dynabook ++
* Создание чрезвычайно быстрорастущих сред и соответствующих мостов к действию на основе этого роста ([[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]])
* [[Проектирование новых благоприятных условий можно представить как проектирование университета ++]]
* Проектирование новых благоприятных условий можно представить как проектирование университета ++
* В этом смысле [[Инструменты для размышления]] - это несколько искажающий термин. Это подталкивает нас думать о «мысли» как о конечной цели. ''Но мы пытаемся создать "контексты смысла"''. Также обратите внимание, что «контекст» может быть простым старомодным эссе!
!!!References
https://github.com/mnielsen/tpft/blob/master/big_picture.md
* Какая среда является наиболее быстрорастущей для отдельных лиц и групп? Как выглядит этот проект, задуманный как (крайне необычный) онлайн-класс?
* Возможно ли помочь создать сверхспособных подрывников, которые верят в свою способность оказывать значимое влияние на важные проблемы?
* Кем на самом деле хотят быть MOOC? + Как заново изобрести университеты? Как выглядит University++? + Как выглядит Primer++ или Dynabook++? + Сколько потолков Сикстинской капеллы за всю жизнь?
Кей, А. С. (1972). Персональный компьютер для детей всех возрастов. Материалы ежегодной конференции ACM - Том 1. https://doi.org/10.1145/800193.197192
https://doi.org/10.1145/800193.1971922
После того, как «отраслей знаний» были введены в качестве ключевой экономики США озабоченности Махлуп в 1962 году, Питер Друкер описал эти действия как «работа знания» в 1969 г. :: Или , возможно , в 1966 году эффективного исполнительной -Будет необходимости проверять ::
В 1962 году Махлуп указывает, что 29% ВВП США приходится на «индустрию знаний».
References
Drucker, P. F. (1970). The age of discontinuity: Guidelines to our changing society. London, England: William Heineman Ltd.
Machlup, F. (1962). The production and distribution of knowledge in the United States. Princeton, NJ: Princeton University Press.
[[Системы интервального повторения чрезвычайно эффективны]], но эта фраза не раскрывает сущности эффективности. Есть много вещей, которые вы можете попытаться улучшить - читать больше книг, разговаривать с экспертами и т. Д. Все это, конечно, поможет, но они также довольно быстро дают убывающую отдачу. Периодическое повторение так не работает. Если вы потратите несколько дополнительных минут на просмотр подсказок о том, что вы прочитали, вы получите гораздо больше от материала. С этого момента для достижения практически постоянного отзыва требуется лишь немного больше усилий.
---
!!!References
[[Matuschak, A., & Nielsen, M. (2019, October 0). How can we develop transformative tools for thought?|https://numinous.productions/ttft]]
Учитывая, что чтение эссе занимает около 4 часов, это говорит о том, что накладные расходы менее 50% по времени могут обеспечить многие месяцы или годы удержания почти всех важных деталей в эссе.
Это большое, парадоксальное преимущество повторения с интервалом: вы получаете экспоненциальную отдачу от увеличенных усилий. В среднем каждая лишняя минута усилий, потраченных на обзор, приносит все больше и больше пользы. Это резко контрастирует с большинством жизненных ситуаций, когда мы сталкиваемся с убывающей отдачей. Например, обычно, если вы увеличиваете количество времени, которое вы тратите на чтение, на 50%, вы ожидаете получить от этого не более 50%, а, возможно, и гораздо меньше. Но с мнемонической средой, когда вы увеличиваете количество времени, которое вы тратите на чтение, на 50%, вы можете получить от нее в 10 раз больше. Конечно, мы не имеем в виду эти цифры буквально. Но он передает ключевую идею получения сильно нелинейной прибыли. Это изменение качества среды.
В разговоре или на прогулке меня часто поражает интересный вопрос или мысль. Во многих случаях я не могу написать что-нибудь очень проницательное на эту тему в тот момент: я определенно не могу написать хорошие заметки Evergreen. Я пока не могу сказать ничего полезного об этом понятии - оно просто кажется ужасно интересным.
Что мне делать сейчас? Как я могу сделать так, чтобы это предчувствие развивалось со временем? Я мог бы создать «список дел» или выделить время, чтобы подумать над этим вопросом, но часто это не то, что нужно. Вместо этого мне часто нужен маринад: давайте вернемся через несколько дней, посмотрим, что "поднимется пузырьками".
Я могу запечатлеть это понятие в [письме Входящие для временных и неполных заметок](https://notes.andymatuschak.org/z5aJUJcSbxuQxzHr2YvaY4cX5TuvLQT7r27Dz) , но оно быстро станет кучей громоздкими обрывков, которые я буду игнорировать ([[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]] .
]] [Для программирования внимания могут использоваться системы интервального повторения](https://notes.andymatuschak.org/z2gqazXUkf9qyFjMQg4W3dw6yegnAJszvDywN) , поэтому такие механизмы могут быть полезны здесь. В такой системе я мог бы:
* Сядьте за мое утреннее письмо и посмотрите небольшую горстку письменных подсказок на день, взятых из моего почтового ящика.
* Я могу добавить все, что есть в голове в отношении любого из них (возможно, они скрывает то, что было написано ранее, пока я не добавлю новый материал)
* После того, как я это сделаю, я могу пометить подсказку как «плодовую», что означает, что она появится снова относительно скоро, или «неплодная», и в этом случае система существенно увеличит свой интервал.
* Кроме того, я мог бы воспользоваться моментом, чтобы преобразовать одну из этих подсказок в одну или несколько [[Вечнозеленые заметки]] .
* Любые подсказки, которые я просто игнорирую, будут увеличены, но, возможно, не так существенно, как явно неплодные подсказки.
Используя экспоненциальный характер интервалов повторения, можно добиться постепенного прогресса на потенциально сотни подсказок, рассматривая только несколько в любой данный день.
Это представляло бы собой систему *постепенного мышления.*
!!!Реализации
Райс Исса опубликовала [[простую реализацию метода.|https://github.com/riceissa/spaced-inbox]]
Представьте, что вы читаете статью, в которой говорится примерно следующее:
Ходите по кругу со сложным упражнением по расстановке приоритетов? Если ни один из факторов сам по себе не кажется особенно решающим, вы, вероятно, никуда не денетесь с большим за / против. Вам нужно будет либо сделать новый выбор, либо определить более мощные оси оценки, либо признать, что вы не можете сделать строго осознанный выбор.
Вы можете запоминать отрывки из этого с помощью [[§Система интервального повторения]] , но вы также можете использовать ту же систему, чтобы «закрепить» эту привычку в своем уме. Вот несколько примеров вопросов, которые вы можете попробовать:
"""
В: Вспомните ситуацию, в которой вы ходили по кругу, бесконечно пытаясь расставить приоритеты для различных вариантов. (Создайте тот, о котором вы раньше не думали, отвечая на этот вопрос)
A: пусто
В: Представьте необычную серию конкретных шагов, которые вы могли бы предпринять в следующий раз, когда обнаружите, что застряли в неясной задаче определения приоритетов. (Создайте серию шагов, которые вы не создавали раньше)
A: пусто
В: Представьте себе конкретную ситуацию, в которой вам было бы сложно выбраться из трясины расстановки приоритетов, найдя единственный решающий фактор. (Создайте тот, о котором вы раньше не думали)
A: пусто
"""
После того, как вы несколько раз ответили на этот тип подсказки о конкретной привычке, часто бывает полезно сделать более конкретные подсказки, чтобы закрепить эту привычку. Например ([[через Kanjun, 01.07.2010|https://twitter.com/kanjun/status/1278501271226298368]]): «Когда я беру зубную щетку утром…» «… возьми мой телефон и открой Anki».
Это пример [[Системы интервального повторения могут использоваться для программирования внимания]].
!!!References
Связанное понятие от Alexey Guzey: [[Instilling Novel Thought Patterns and Making Your Long-Term Memory Accountable with Anki - Alexey Guzey|https://guzey.com/things/software/anki/]]
[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]], но [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]]. В значительной степени это связано с тем, что [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]].
Если вы переформулируете деструктивные операции как «не сейчас», они почувствуют себя совершенно иначе. Эта вкладка браузера не исчезла - она вернется позже. Может быть, сначала это будет день спустя, затем, если я пропущу его снова, через несколько дней, затем, может быть, через неделю и так далее, пока «не сейчас» фактически не станет «близко» ... но это не кажется таким напряженным. . Это понятие может быть применено к очередям задач, спискам чтения ([[Почтовый ящик для чтения для сбора потенциально полезных ссылок]]) и т.д. [[Механика интервального повторения создает ощущение легкости]].
Это пример того, как [[Системы интервального повторения могут использоваться для программирования внимания]].
[[An interesting flaw in Cognitive Load Theory. Filling the pail|https://gregashman.wordpress.com/2017/10/03/an-interesting-flaw-in-cognitive-load-theory/]]
Оухао Чэнь и его коллеги опубликовали [[новую статью|https://link.springer.com/article/10.1007%2Fs10648-017-9426-2]], в которой указывается на недостаток в одном из предположений теории когнитивной нагрузки (CLT); недостаток с некоторыми потенциально интересными последствиями.
Одна из центральных идей CLT заключается в том, что рабочая память, в которой мы сознательно обрабатываем новую ([[биологически вторичную|https://gregashman.wordpress.com/2017/09/18/an-unnatural-act/]]) информацию, ограничена, но эти пределы отпадают после того, как они имеют дело со знаниями, хранящимися в долгосрочной памяти. Раньше я думал об этом как о дефекте дизайна; что вы, возможно, могли бы улучшить работу людей, расширив наши рабочие воспоминания, но CLT предполагает, что есть причина этого ограничения: учитывая, что информация передается через рабочую память в долгосрочную память, она предотвращает быстрые и разрушительные изменения в долгосрочной памяти.
Помимо работы со знаниями, хранящимися в долгосрочной памяти, CLT предполагает, что рабочая память человека фиксирована. Это может быть неправильно, потому что статья Чен и др. предлагают новый «эффект истощения», когда объем рабочей памяти еще больше снижается после периода использования.
Авторы указывают на несколько предыдущих исследований, которые показывают, что налоговая задача привела к снижению производительности следующей задачи, предназначенной для измерения объема рабочей памяти. Однако это было не в контексте обучения. Таким образом, авторы создали контекст, в котором ученики начальной школы изучали дроби или основы алгебры.
Все студенты выполнили серию учебных заданий, серию заданий на рабочую память и тест. Примерно половина завершила это в одном массивном блоке (в 1 день), тогда как остальные завершили это в разнесенных по времени блоках (за 3 дня). Интересно, что тест для этой последней группы проводился в другой день по сравнению с любыми учебными задачами, и мы могли подумать, что это ухудшит успеваемость, даже если приведет к лучшему обучению в долгосрочной перспективе.
Но это не так! Вместо этого был классический эффект разнесенной практики, когда ученики в разнесенной группе лучше справлялись с тестом, чем те, кто выполнил одиночный групповой блок. Пока это ничем не примечательно, хотя авторы отмечают, что относительно немного экспериментов проверяли эффект разнесенной практики в аутентичной классной среде с аутентичными целями обучения так, как они это делали.
Но не это самое интересное. Они также отметили *более низкую производительность при выполнении задач на рабочую память для "массовой" группы*. Раньше объяснения эффекта интервальной практики основывались на таких идеях, как то, что процесс попытки извлечь что-то, о чем начинают забываться, увеличивает силу извлечения. Это исследование предлагает другой, возможно, дополнительный механизм: *интервальная практика позволяет избежать когнитивного истощения*. ::Todo надо изучать работу ДП с этой точки зрения::
Исследование было квази-экспериментальным. Дети не проходили случайный отбор по условиям, а из практических соображений выполняли их в своих обычных классах. Это было немного смягчено во втором эксперименте путем выполнения двух последовательностей и переключения условий с первой на вторую последовательность, то есть класс, который выполнял массовую практику в первой последовательности, выполнял разнесенную практику во второй и наоборот. Результаты держатся.
Это потенциально расширяет сферу применения CLT, чтобы служить теоретической основой для объяснения других эффектов, таких как интервальная практика.
Авторы также отмечают намеки в предыдущих экспериментах на то, что **истощение может быть в значительной степени специфичным для домена**. ::TODO развить идеи этих намёков::
Если так, это будет иметь последствия для учителей, потому что мы могли бы избежать истощения, переключая типы задач.
В творческой работе и в жизни многие цели кажутся непредсказуемыми и громоздкими, зависящими от надежды и удачи: выработка привычки, приведение в форму, написание книги, выполнение исследовательского проекта и т. д. (см. [[Основные практики в работе с знаниями часто являются ad-hoc]])
Уборка на кухне - это не так. Даже очистка почтового ящика - это не то же самое ([[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]]).
Для многих прозаических целей у вас есть [[Исполняемая стратегия]], которые надежно достигают цели предсказуемым, управляемым количеством усилий. Они являются своего рода метакогнитивной поддержкой ( [[Метакогнитивная поддержка как как когнитивная опора]].
Чтобы построить исполняемую стратегию, мы должны разбить задачу на такие действия, чтобы:
выполнение большего количества этих действий надежно приблизит вас к цели
каждое действие требует предсказуемого количества усилий
каждая деятельность кажется выполнимой
требуется немного усилий, чтобы выбрать и спланировать мероприятие
Один из распространенных вариантов - установить ежедневные цели на определенное количество часов на работе. Успех этой стратегии требует четкой теории того, как эти часы неумолимо накапливаются для достижения желаемого результата. Просто потратить некоторое количество часов на проект - довольно слабое ограничение: легко работать сосредоточенно, много часов непродуктивно.
Другой распространенный выбор - дискретизировать творческий результат. Если вы пытаетесь написать эссе, вы можете стремиться написать определенное количество слов в день; Если вы разрабатываете интерфейс, вы можете стремиться разрабатывать один элемент пользовательского интерфейса в день. Но эти шаги не требуют предсказуемого количества усилий, и они часто кажутся невыполнимыми. Если вы застряли в письме, потому что запутались в одной из своих идей, вы не сможете написать 500 слов для своей рукописи. Вместо этого вам нужно больше времени обдумывать идею. Рукопись - сложное место для этого. Напротив, рассматривайте [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].
!!!Список исполняемых стратегий
* [[Исполняемая стратегия письма]]
* [[Системы памяти с интервалом повторения делают выбор в пользу памяти]]
* [[Как превратить аннотации чтения в вечнозеленые заметки]]
Начало привычки
Наивный процесс письма начинается с грубого представления о том, что нужно написать, и пустой страницы. Прогресс с этого момента требует огромного количества энергии активации и когнитивных усилий: нет ничего внешнего, поэтому вы должны передвигать всю будущую часть в своей голове.
Напротив, если вы уже написали много концептуальных [[Вечнозеленые заметки]] по теме, ваша задача больше похожа на редактирование, чем на композицию. Вы можете составить план, перетасовывая заголовки заметок, написать заметки на любом недостающем материале и отредактировать их вместе в повествование. Фактически, поскольку вы можете создавать спекулятивные схемы во время письма, вы можете обнаружить, что первый из этих шагов уже выполнен. И писать каждую заметку несложно: [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]].
Вместо такой задачи, как «написать план первой главы», у вас есть такая задача, как «найти заметки, которые кажутся важными». Каждый шаг кажется выполнимым. Это исполняемая стратегия (см. [[Исполняемая стратегия]]).
Здесь я описываю два подхода: неориентированный вариант, в котором написание проектов органично возникает из повседневной работы; и направленная версия, в которой вы пытаетесь написать о чем-то конкретном.
!!!Неориентированный подход:
# Постоянно пишите долговечные заметки, читая и думая. [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]
# Каждый раз, когда вы добавляете заметку, добавляйте ссылку на нее в схему, создавая ее при необходимости [[Создавайте спекулятивные контуры во время написания заметки]].
# В конце концов, вы почувствуете интерес к конкретизации одного из этих контуров [[Позвольте идеям и убеждениям возникать органически]]
# Напишите новые заметки, чтобы заполнить недостающие части схемы.
# Соедините все тексты заметок вместе, чтобы получить исходную рукопись.
# Перепишите это.
!!!Ориентированный подход:
# Просмотрите заметки, относящиеся к вашей теме (и еще один-два шага за ними - [[Заметки должны вас удивлять и давать insights]]
# Сделайте набросок (контур) заметки
# Прикрепите существующие примечания к каждой точке контура; при необходимости пишите новые заметки.
# Соедините все тексты заметок вместе, чтобы получить исходную рукопись.
# Перепишите это.
Еще одно приятное преимущество этого подхода: [[Вечнозеленые заметки снижают эмоциональные ставки на редактирование рукописей]].
!!!Ссылки
предпочтения
Аренс, С. (2017). *Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов научно-популярных книг*.
Подготовка отрывков помогает вам легче писать, метод [[Zettelkasten]]
Чтобы с ясностью увидеть, в достаточной ли мере ваше исследование подкрепляет структуру вашего текста, следующий шаг - назначить заметки из Zettelkasten элементам вашего плана. Когда кажется, что какой-то элемент вашего плана игнорируется из-за того, что у вас недостаточно подходящих заметок, вы можете продолжить исследование, сосредоточив внимание на недостающих частях. Как только вы уверены, что у вас достаточно освещения для начала, вы объединяете содержание заметок в соответствии с планом. Таким образом, вы создаете самый первый черновик. Это все, что нужно, чтобы перейти от плана к рукописи. Затем вы начинаете переписывать, систематизировать материал и делать текст связным.
Нет никакого волшебства в написании текстов с помощью сытого Зеттелькастена. Чтобы составить первый черновик, вы помещаете содержимое выбранных заметок в соответствующие места в структуре, кладя мясо на кости скелета вашего текста. Вот как Zettelkasten поможет вам завершить ваш первый набросок.
(См. Центральное обсуждение в разделе [[Как мы можем разработать инструменты преобразования мышления; подраздел« Исполняемые книги»|https://numinous.productions/ttft/#how-to-invent-hindu-arabic-numerals]]
* Некоторые СМИ, которые жестикулируют в этом направлении:
** [[GitHub - norvig / pytudes: программы на Python, обычно короткие, значительной сложности, для совершенствования определенных навыков|https://github.com/norvig/pytudes]]
** [[Observable - используйте данные, чтобы думать вместе|https://observablehq.com/]]
** [[Структура и интерпретация Classical Mechanics|https://groups.csail.mit.edu/mac/users/gjs/6946/sicm-html/book.html]]
** [[Конструктор интеграции платежей Stripe|https://stripe.com/docs/payments/integration-builder]]
** [[Nand2Tetris]]
* [[Исполняемые книги подчеркивают важность понимания уже существующего кода, а не написания нового кода]].
По крайней мере, как обычно задумано, [[Исполняемые книги]] упаковывают и представляют код, обсуждаемый их прозой. Читателей могут попросить расширить этот код в упражнениях, но исполняемые книги представляют собой код объекта, созданного автором для изучения. Проза призвана помочь студентам прочитать и понять код. Интересный альтернативный подход - рассмотреть исполняемые носители, похожие на книгу, которые создают код как что-то преимущественно написанное читателем.
Такая книга больше походила бы на [[«Невероятая машина»]], чем на книжку с картинками Руба Голдберга: в ней можно было бы представить [[Детализированная последовательность задач как когнитивная опора]] и соответствующую информацию по ходу выполнения. Читатель выполняет исполнение, но это исполнение четко структурировано автором:[[Реализованный опыт]]. По теме: [[Что может означать размещение таких игр, как Shenzhen I / O, в профессиональных средах, таких как IDE?]]
Другой пример; Павел Панчеха работает над книгой о том, как создать веб-браузер. Он явно не хочет, чтобы книга была структурирована как обычная исполняемая книга - примеры кода, которые легко запускать и редактировать, - потому что он хочет, чтобы читатели создавали свои собственные веб-браузеры.
::Подход с исполняемой книгой (например, с записной книжкой) хорош ''для понимания фиксированного кода''. Вы можете запускать его по частям, читать комментарии и видеть, как каждый фрагмент выделяется в соответствии с его описанием в тексте. Но это поощряет такой способ взаимодействия, при котором вы ''читаете'' код, а не пишете его. Возможно, это слишком много, чтобы требовать, чтобы средний читатель действительно написал веб-браузер, но, по крайней мере, я заставляю своих учеников делать это! Аналогичная проблема с самоочевидным кодом, когда браузер записывает какой-то обширный журнал своих собственных действий и позволяет вам его исследовать. Опять же, речь идет об исследовании фиксированной базы кода, тогда как настоящая цель книги не столько объяснить, как работает браузер, сколько убедить читателя в том, что они могут его написать.
"""
Q. Почему Павел не думает, что типичная концепция исполняемой книги подойдет его книге по разработке браузеров?
A. Исполняемые книги в основном посвящены чтению и пониманию уже существующего кода; он хочет, чтобы читатели действительно написали браузер.
Q. Чем «списки кодов» в таких играх, как Shenzhen I / O и The Incredible Machine, отличаются от таковых в типичных исполняемых книгах?
A. Они намеренно неполные: игроки должны заполнять пробелы.
При написании рукописей человек часто начинает с вывода (или, по крайней мере, с точки зрения) в уме, а затем мы пишем или проводим исследование, чтобы поддержать эту идею. Если мы не будем осторожны, эти предубеждения исказят наше мышление. Но если мы начнем с написания [[Вечнозеленые заметки]], мы можем позволить выводам и теме появиться в результате нашего тщательного обдумывания.
!!!Ссылки
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг.
В тот самый момент, когда мы принимаем решение о гипотезе, наш мозг автоматически переходит в режим поиска, сканируя наше окружение в поисках подтверждающих данных, что не является хорошим способом обучения или исследования.
Линейный процесс, продвигаемый большинством учебных пособий, который безумно начинается с решения о гипотезе или теме, о которой следует писать, - это верный способ позволить предвзятости подтверждения расти. Во-первых, вы в основном фиксируете свое нынешнее понимание как результат вместо того, чтобы использовать его в качестве отправной точки, настраивая себя на одностороннее восприятие. Затем вы искусственно создаете конфликт интересов между достижением цели (поиском поддержки для вашего предвзятого аргумента) и генерированием инсайта, превращая любое отклонение от вашего предвзятого плана в бунт против успеха вашего собственного проекта. Это хорошее практическое правило: если понимание становится угрозой для вашего академического или письменного успеха, вы делаете это неправильно.
Поскольку важно [[Пишите о том, что вы читаете]] , мы должны быть осторожны с чтением по нашим телефонам: мы обычно не в состоянии или мышлении писать!
Это может быть опасно, потому что чтение статей по телефону может *показаться*, что это делает работу, но [[Знания должны срастаться]] , а такое чтение в основном не так. В основном это просто для развлечений.
В щепотку я могу использовать свой [[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]], пока я делаю заметки во время чтения на телефоне, но для этого требуется стабильная, плоская поверхность: в противном случае мне понадобится одна рука для телефона, одна рука для блокнота для заметок и одна рука для ручки.
Когда у меня возникает соблазн прочитать что-то тщательно по телефону, вместо этого я должен [[Закрыть открытые петли]] , используя [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]]. Я могу просто добавить эту штуку в свою очередь и двигаться дальше.
!!Ссылки
* [[Примечания при чтении в Интернете и RSS * Метод Zettelkasten|https://zettelkasten.de/posts/reading-web-rss-note-taking/]] Чтение всей статьи на iPhone - это долгожданное времяпрепровождение, но это не эффективный способ расширить свои знания. Таким образом, я спрашиваю себя: ''хочу ли я прочитать что-то просто так , или мне нужно работать с этим позже?'' (edutain - развлечения, особенно видеоигры, с образовательным аспектом.) Ответ на этот вопрос определяет, буду ли я читать статью или просто уберу в закладки.
На телефоне я готовлю //вещи// - это веб-страницы и элементы новостной ленты - чтобы стать актуальной //вещью// с точки зрения моей системы управления знаниями. Вот для чего нужен список для чтения. Хотя я не могу писать заметки для своего архива разумным образом, я все равно могу решить, какие статьи я хочу принять к сведению. В этом отношении мой iPhone - это устройство для фильтрации Интернета и моих каналов.
Заметка для записи результатов использования нашего приложения
Похоже, что большинство людей могут вспомнить только несколько высокоуровневых деталей книги через несколько недель, если это так. Типичный читатель может потратить часы на то, чтобы закончить серьезную научно-популярную литературу, затем, возможно, она появляется на званом ужине, и они обнаруживают, что вы можете вспомнить три предложения. В основном нет подробного отзыва. Едва суть!
Более того: люди кажутся удивленными, когда это происходит. Кажется, они постоянно переоценивают, сколько они поглощают из книги.
Я не могу найти реальных эмпирических данных по этому вопросу, поэтому это в значительной степени анекдотическое утверждение. Некоторые легкие доказательства в предложении Амлундом и др., которые показали <50% бесплатного отзыва через несколько минут, даже когда читатели знали, что это тест.
Это замечание вызывает сожаление по многим причинам, но среди них: [[Глубокое понимание требует детального знания основ]] и [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].
Для общих возражений: [[Многие люди считают, что память не важна для глубокой творческой работы]].
!!!References
Matuschak, A. (2019). Why books don’t work. Retrieved from https://andymatuschak.org/books
[[Quantum Country]] предполагает, что вы ответите на все вопросы. Это разумное предположение для вводного текста, посвященного знанию платформы: подавляющее большинство читателей либо уже знают весь материал, либо должны будут знать практически все ([[Мнемоническая среда особенно хорошо подходит для познания платформы]]). Но это предположение не сработает во многих других контекстах. В будущих версиях [[Мнемоническая среда]] необходимо будет сделать ее более гибкой.
Например, если вы пишете большой учебник, читатели обычно не читают его целиком - они сосредотачиваются на определенных темах. Среда должна учитывать выборочный интерес к определенным разделам или подразделам.
И у них будет разное прошлое; некоторым не нужны все подсказки. Если мы перенесемся в будущее, в котором практика запоминания станет повсеместной, читатели будут часто сталкиваться с «повторяющимися» подсказками. Таким образом, среда должна позволять читателям пропускать, отбрасывать или повторно микшировать подсказки, даже если они считаются «полезными по умолчанию» для других.
В убедительном письме и неформальном обсуждении подсказки будут играть совершенно иную роль. Возможно, имеет смысл делать запросы в этих жанрах по умолчанию, а не отказываться. В этом типе элементов подсказки могут больше походить на заметки на полях, доступные для заинтересованных сторон.
См. также: [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]]
!!!Возможные решения
* В контексте подписки по умолчанию подсказки должны иметь действие «пропустить» или «не сейчас». Этот механизм потенциально может использовать преимущества механики интервального повторения: эта подсказка может снова появиться в сеансе проверки через несколько недель. Если снова «пропустить», он может исчезнуть на несколько месяцев. Это удовлетворяет потребность в потенциально деструктивных операциях «удалить» или «отключить», но без принятия решения с высокими ставками: [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]].
* В контексте отказа по умолчанию подсказки могут быть больше похожи на маргиналию. Может быть лучше «разложить» карточки в контексте отказа по умолчанию (а не «складывать» их), чтобы читатели могли увидеть их все и выбрать одну или две, которые кажутся важными. Здесь будет очень сложно передать разницу в поведении по умолчанию.
!!!Способы, которыми, по мнению Quantum Country, читатели будут отвечать на все запросы
* Механика прогресса сосредоточена вокруг «процента выполнения», а знаменатель - это общее количество подсказок в эссе.
** Прогресс полностью замедлится, если вы не ответите на все вопросы в эссе: вы не сможете пройти ни один из более поздних уровней, не пройдя уровень в тексте.
** Этот механизм можно было бы относительно легко адаптировать к гибкости на уровне раздела, но он потребует более существенных изменений, чтобы приспособиться к комплектации и выбору.
* Когда вы отвечаете на вопрос в эссе, он добавляется в вашу коллекцию, и нет возможности удалить его или пропустить постфактум.
[[Мнемоническая среда особенно хорошо подходит для познания платформы]], но мы подозреваем, что она может помочь читателям глубже познакомиться с материалами других жанров, например:
* убедительное письмо
* неформальная дискуссия
* справочный материал
** Макс Розер (2020-06-15) отмечает, что в некотором смысле OWiD больше похож на расширенную электронную таблицу, чем на расширенную прозу.
* научные статьи
* Обсуждения Twitter: темы [[Twitter могут быть интересным контекстом для мнемонической среды]].
Некоторые проблемы из работы: [[Уроки, извлеченные из применения мнемонической среды к нетехническим текстам]].
Одно существенное различие между этими жанрами и знаниями платформы будет заключаться в значительном увеличении вариативности пользователей - как с точки зрения мотивации / цели, так и с точки зрения предшествующих знаний. Я полагаю, что для этого потребуется, чтобы среда стала более гибкой. [[Как мнемоническая среда может адаптироваться к разному опыту и целям читателей?]]
Я подозреваю, что один из ключевых подходов будет заключаться в том, чтобы меньше использовать носитель для создания подробной памяти и больше с точки зрения [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]].
Один фрейм, связанный с вопросом: [[Что, если бы мнемоническая среда была переработана как средство для более глубокого взаимодействия с текстом?]]
Связанные потенциальные механизмы:
[[Встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя]].
[[Мнемоническая среда]] помогает читателям вспомнить , что они читали, и это является важным первым шагом на пути к пониманию ([[Глубокое понимание требует детального знания основ]]). Мы также используем эти подсказки, чтобы помочь читателям приобрести концептуальные знания: [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]. И мы вышли за рамки воспоминаний: [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Так. Как мы можем продолжить [[Таксономия Блума]] для поддержки более сложных типов понимания? Связанные с этим ранние эксперименты показывают, что это может быть возможно: [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]].
Один из возможных вариантов - сосредоточиться на [[Передача обучения]] (например, [[Мнемоническая среда может включать подсказки, поддерживающие ближний перенос]].
Решение, вероятно, будет включать добавление сложности к подсказкам с течением времени, возможно, введение ориентированных на синтез подсказок после того, как читатели уже твердо вспомнят. См . [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
[[Массовое внедрение мнемонической среды, по-видимому, требует массового внедрения веб-публикаций]]. Более того: многие важные книги вообще недоступны в цифровой форме; многие люди предпочитают печатные книги и электронные книги. Техническая аудитория будет продолжать использовать PDF-файлы целую вечность. А как насчет аудиокниг и видео? Было бы очень эффективно, если бы мы могли «поднять» существующие средства массовой информации в среду, не жертвуя ее мощностью.
Ни один из приведенных ниже подходов на самом деле не хорош, но, возможно, их итерации могут быть?
!!!Приложение «Companion reader»
Перед вами открыта бумажная книга; вы кладете рядом свой телефон и открываете приложение Mnemonic Companion. Вы сканируете штрих-код книги, и он отображает оглавление (возможно, частично отредактированное по юридическим причинам) и селектор номеров страниц. Вы сообщаете приложению, что читаете страницу 312. На экране отображается стопка вопросов и большой заголовок, который гласит: «Ответьте на них в разрыве раздела на странице 314». Вы начинаете читать бумажную книгу, выделяя и прикрепляя пометки, и отвечаете на вопросы в подходящем месте. Приложение перейдет к следующей точке останова, и вы продолжите чтение.
Такой подход - огромная путаница. Читатели должны помнить, где они должны остановиться, следить за этой точкой и переключаться между двумя медиа. Это похоже на боль. Я подозреваю, что уровень соблюдения будет намного ниже, чем в Quantum Country.
Но это очень гибкий подход, который можно адаптировать практически к любой предшествующей медиа-форме. Это не требует сотрудничества между автором и издателем, и вопросы могут быть получены от различных производителей (связанных: [[Аудиокниги производятся в соответствии с самыми разными бизнес-моделями]]).
По отдельности канал распространения ужасен: кто-то, читающий книгу, должен решить отдельно искать дополнительные материалы по ней, проверить наше приложение на предмет поддержки и, возможно, заплатить отдельно за этот материал. Обсуждение книги / PDF-файла в Twitter не указывает людям на этого собеседника. Никаких значимых сетевых эффектов нет.
!!! Пользовательская программа для чтения PDF / EPUB
Мы могли бы создать собственные приложения для чтения PDF или EPUB, которые добавляли бы эти элементы в существующие медиа-формы. Или, может быть, это веб-программа просмотра в стиле букмарклетов: добавьте к любому URL-адресу PDF-файла «http://mnemonic.com», чтобы прочитать его в этой форме, и т.д.
Сделать это для EPUB на самом деле нецелесообразно, пока DRM остается повсеместным. Электронную книгу, купленную на законных основаниях, невозможно открыть в нашем ридере. Таким образом, чтобы сделать это с электронными книгами, мы должны были бы превратиться в магазин электронных книг. Фу.
Это будет огромная работа. Здесь большие проблемы с каналом сбыта.
Честно говоря, лучший подход к PDF-файлам - это, вероятно, один из бесчисленных инструментов «PDF-to-web page». Возьмите академический PDF; превратить его в веб-публикацию; затем улучшите его (например, превратив любую веб-страницу в мнемоническую среду).
!!!Очки AR
Если в будущем мы все будем носить очки AR, мы сможем волшебным образом улучшать книги разными интересными способами. Слишком далеко, чтобы серьезно относиться к этому? Если слухи о предложении Apple очков 2022 года верны, шлемы с дополненной реальностью могут вскоре стать довольно популярными...
[[Исследуемые объяснения]] и [[Мнемоническая среда]] - это круто, но интерактивные статьи и практика интервального повторения далеко от того, где находится реальный смысл. [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. Как мы можем адаптировать эти типы мощных инструментов, чтобы их можно было разместить в рамках глубоко значимых взаимодействий?
Что, если бы «практические занятия» для [[§Система интервального повторения]] можно было бы полностью исключить, вместо этого структурируя аутентичную среду так, чтобы «практика» естественным образом происходила через повседневные действия? например: [[Twitter - это своего рода программируемое внимание]]; [[Ведение вечнозеленой заметки - это интервальное повторение]]. Связанный: [[Доминирующая культура систем памяти с интервальным повторением зациклена на бессмысленных целях]].
Что, если бы абстрактные статьи на темы можно было бы внести в социальную среду, которая придает им смысл? [[Связь прозы и окружающей ее беседы в Твиттере]].
Что, если бы «учебная среда» была внутренне встроена в контекст их использования? например, [[Primer++ встроен в поле, стимулируя участие через принятый опыт]]
Важно [[Пишите о том, что вы читаете]]. Во время чтения вы отмечали отрывки, которые кажутся важными, и делали заметки со своими мыслями ([[Как собирать наблюдения во время чтения]]). Теперь мы превратим все это в долговечные заметки.
Во-первых: какие заметки нужно писать? [[Вечнозеленые заметки должны быть концептуальными]], так каковы ключевые концепции? Вам нужно сделать шаг назад и составить картину общей структуры идей. Конкретно, вы можете сделать это, сгруппировав свои обрезки в груды и наблюдая за возникающей структурой. Или вы можете набросать интеллектуальную карту или визуальный план. Структура, которую вы наблюдаете, не обязательно должна соответствовать структуре книги: это все, что имеет смысл относительно вашей личной онтологии ([[Думайте самостоятельно]]).
Как только вы получите представление о действующих концепциях, вы начнете итеративный процесс написания заметок. Здесь я резюмировал процесс Кристиана Титце, который в настоящее время перенимаю / адаптирую:
# ''Напишите общую заметку'', которая отражает «большую идею» одного из ваших кластеров. Есть несколько больших идей? Напишите несколько общих заметок, чтобы заметки Evergreen были атомарными.
# ''Пишите более мелкие заметки'': просмотрите отдельные записки в этой группе. Делайте заметки, которые фиксируют более тонкие атомарные идеи в рамках этого кластера.
# ''Подключиться'': поиск соответствующих прошлых заметок, которые относятся к этим новым заметкам. Связывайте, объединяйте и пересматривайте по мере необходимости, чтобы представить вашу новую, синтезированную концепцию этих идей. См. Заметки Evergreen должны быть тесно связаны и Создавайте умозрительные контуры во время письма.
# ''Исправление'': вернитесь к общей заметке и улучшите свое резюме на основе того, что вы узнали, написав подробные заметки, и деталей, которые вы распаковали, если это возможно, не сбивая их с толку. Удалите подробные заметки, которые больше не нужны; при необходимости обновите других на основе того, что вы узнали, написав обновленную общую заметку.
# ''Петля''
!!!References
Create Zettel from Reading Notes • [[Zettelkasten Method|https://zettelkasten.de/posts/create-zettel-from-reading-notes/]]
Во-вторых, я выясняю, есть ли у основной идеи кластера слишком много предпосылок для самостоятельной работы. Это может быть вывод, сделанный на основе множества предположений или сложных моделей, которые мне нужно будет объяснить. Сначала я готовлю заключение, а затем перехожу к другим заметкам, чтобы зафиксировать все необходимые идеи. Вот здесь и пригодятся ссылки: детали указывают на концептуальную записку, а в концептуальной записке упоминаются ее подробные ветви.
Кластеры не опираются на план книги. Индекс книги, например, собирает ссылки, не заботясь о содержании или потоке идей. Для определений терминов полезен аналогичный подход: собирайте примеры использования в тексте и сами определения, чтобы получить четкое представление о значении термина. Кластеры также могут быть тематическими, как и индекс.
Это то, что я называю «ортогональным содержанию»: они не придерживаются последовательности страниц и разделов. Вместо этого кластеры образуются вокруг любой цели, которую вы сочтете подходящей.
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.
Убедитесь, что вы сможете найти эту заметку позже, либо сделав ссылку на нее в своем индексе, либо сделав ссылку на нее в заметке, которую вы используете в качестве точки входа в обсуждение или тему и которая сама связана с индексом.
Мы совсем не знаем! Это важный вопрос, который необходимо решить.
Важно [[Пишите о том, что вы читаете]], но мешает переключение между чтением и написанием хороших заметок. Вместо этого собирайте идеи лёгким способом во время чтения. Вы можете поместить их в [[Почтовый ящик для временных и неполных заметок]]. Это позволит [[Закрыть открытые петли]], и вы обработаете их позже (см. раздел [[Как превратить аннотации чтения в вечнозеленые заметки]]).
Аннотации - даже строчные [[Маргиналии|https://ru.m.wikipedia.org/wiki/Маргиналии]], которые включают ваше собственное письмо - имеют очень небольшую информационную ценность. Они распыляют; они не относятся друг к другу; они ни к чему не складываются; они ультрасжаты; они в значительной степени неотредактированы. Это нормально: считайте их просто напоминанием. Они говорят: «Эй, посмотри на этот отрывок» с несколькими словами контекста, чтобы вспомнить, о чем был этот отрывок.
Поскольку вы все равно собираетесь писать долгосрочные заметки, аннотации должны иметь достаточно информации, чтобы воссоздать ваш ментальный контекст в этот момент чтения. Вы бы не хотели полагаться на эту долгосрочную перспективу, с тех пор у вас будет просто огромная куча крючков, за которыми вам придется «следить» в любое время, когда вы захотите подумать о своем опыте работы с этой книгой.
При обработке этих наблюдений вы захотите иметь возможность видеть общую картину и кластеры идей, поэтому полезно собирать аннотации манипулируемым образом.
Конкретно, подход, который я пытаюсь использовать:
* Физические книги:
** Напишите пару слов на листе бумаги формата A7. ( [[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]] )
** Нарисуйте точку или линию на полях интересных отрывков и придерживайте страницу.
* Интернет-статьи:
** Скопируйте и вставьте интересные отрывки в одну рабочую заметку в моем почтовом ящике.
** Или, возможно, используйте тренажер Bear в сочетании с маркером.
* Электронные книги и PDF-файлы:
** Используйте маркеры в приложении
** Экспортируйте все основные моменты в рабочую заметку в папке «Входящие» в кластер TODO
Я нахожу цифровые решения совершенно неудовлетворительными: в этих решениях медленный и тяжелый переход между аннотациями.
!!!Ссылки
https://zettelkasten.de/posts/making-proper-marks-in-books
Текст вдохновил на мысль, а вдохновляющая часть уже отмечена в тексте.
https://zettelkasten.de/posts/create-zettel-from-reading-notes
Делать заметки на моем Mac во время чтения для меня просто не работает. Мое состояние при наборе текста слишком отличается от состояния, в котором я нахожусь, когда читаю печатный текст. Чтобы двигаться вперед и назад, нужно постоянно переключать мыслительные механизмы. Во-первых, это меня через какое-то время утомляет. Во-вторых, это переключение портит фокус: я не могу правильно следить за текстом. Вот почему я делаю заметки на бумаге и отмечаю отрывок, на который хочу сослаться, звездочкой * на полях страницы.
Представьте, что я добавляю 40 новых запросов в день, что я всегда получаю их все правильно в каждом обзоре, и что их интервалы расширяются в соответствии с фиксированным расписанием Quantum Country. Через год я буду анализировать:
* подсказки от 5 дней назад
* подсказки добавлены 5 + 14 = 19 дней назад
* подсказки от 19 + 30 = 49 дней назад
* подсказки от 49 + 60 = 109 дней назад
* подсказки от 109 + 120 = 229 дней назад
Итак, в этом случае я просматривал 200 подсказок. Если сохраняется шестисекундное среднее значение, это 20 минут в день. Если мы настаиваем на 10-минутном ограничении, то у меня получается 100 запросов, что означает около 20 новых запросов в день.
Из-за экспоненты два года мало что меняют. Если я продолжу добавлять 40 в день, после добавления еще ~ 15 тысяч в следующем году, я буду просматривать 240 в день (около 24 минут). Если мы хотим придерживаться 10-минутного лимита, это будет означать 17 новых запросов в день. Третий год добавляет еще 40 ежедневных запросов при этих предположениях; четвертый год ничего не добавляет.
Конечно, это при условии, что я все время получаю правильный ответ. Предполагая, что частота ошибок составляет 10%, через год я бы просмотрел 241 запрос вместо 200. Не так уж плохо! Это увеличивает мою 10-минутную пропускную способность с 20 в день (7,3 тысячи в год до 16 в день (5,8 тысячи в год). При 5% -ном коэффициенте ошибок это 18 в день (около 6,5 тысяч в год). Разница существенная. Достаточно, чтобы за ним следовало заниматься, но это не решающий момент.Частота ошибок 20% дает пропускную способность 13 в день (около 4,8 тыс. в год).
Другими словами, если вы можете уменьшить частоту ошибок с 20% до 5%, вы можете добавить еще 1/3 подсказок за тот же период проверки.
См. также [[Оптимизация расписания системы интервальных повторений]].
[[Читатели Quantum Country надежно развивают детальное удержание]], но эти данные являются коррелятивными. Какое причинное влияние?
Неформальный эксперимент в третьем квартале 2019 года продемонстрировал многообещающий причинно-следственный эффект обзорных сессий. Мы удалили 8 вопросов из набора пользователей, которые оставили свои обзоры в обычном режиме, а затем снова вставили их в свои сеансы через 2 недели.
По сравнению со своими сверстниками, которые рассматривали эти 8 вопросов в течение этих двух недель, читатели с отложенными обзорами увидели, что их точность упала на 4 пп, тогда как точность контрольных читателей увеличилась на 7 пп. 40% читателей с отложенным обзором увидели снижение эффективности; напротив, производительность каждого считывателя элементов управления осталась прежней или улучшилась.
В этой заметке собраны идеи о том, как закодировать знания в подсказках [[§Система интервального повторения]], как для поддержки запоминания фактов, так и для содействия более глубокому пониманию ([[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]).
Смотрите [[Как писать хорошие подсказки|https://andymatuschak.org/prompts/]] (2020) для опубликованной рукописи по этой теме.
Незавершенная работа:
* [[Подсказки с интервалом повторения в памяти должны быть краткими]]
* [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]].
* [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]].
** [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]]
* [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]].
** [[Подсказки должны четко указывать, какой «формы» ответа они ожидают]].
* [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]]
** [[Избегайте повторения подсказок типа «ДА - НЕТ»]]
* [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]
* [[Запросы на «заполнение пробела», кажется, дают меньше понимания, чем пары вопрос / ответ в системах памяти с интервальным повторением]].
* [[Эвристика ответа эксперта, after Issa Rice]]
“Covering” material:
* [[Избегайте сиротских подсказок с повторяющимися интервалами в памяти]]
Мета / ментальные модели:
* Напишите больше подсказок для повторения, чем кажется естественным
* [[Дизайн подсказок с интервалом повторения предназначен для разработки задач для себя в будущем]].
По теме: [[Метафора «отраженного эссе» для обозначения цели мнемонической среды]].
!!!References
Matuschak, A. (2020). How to write good prompts: using spaced repetition to create understanding. https://andymatuschak.org/prompts
See section Improving the mnemonic medium: making better cards in How can we develop transformative tools for thought? and Nielsen (2018, 2019).
Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html
Nielsen, M. (2019, January). Using spaced repetition systems to see through a piece of mathematics. http://cognitivemedium.com/srs-mathematics
Wozniak, P. (1999, February). Effective learning: Twenty rules of formulating knowledge. https://www.supermemo.com/en/archives1990-2015/articles/20rules
Когда вы думаете или делаете что-то новое и сложное, один из распространенных режимов неудач заключается в том, что *наименьший возможный шаг* по инкрементации все еще может быть слишком трудным для осмысления - вы не можете взобраться на следующую ступень.
В этих случаях лучше всего принять среду, которая будет возводить [[Когнитивный каркас]] для поддержки части когнитивной нагрузки, позволяя сделать следующий шаг. По мере того, как пользователь наращивает потенциал, "строительные леса" могут быть постепенно удалены либо им, либо его окружением. Временный характер каркаса делает это подмножеством механизмов для увеличения познания.
Каркасы обычно являются авторскими (создаются). Иногда создаются неавторизованные каркасы; например, серия постепенно углубляющихся бассейнов может обеспечить прекрасную естественную среду для обучения плаванию.
Авторские каркасы могут быть статичными или динамическими. Книги часто включают в себя статические леса, такие как повествование ([[Повествование как когнитивная опора]]) или ограничения ([[Ограничения как когнитивные опоры]] ). Статическая [[Среда участия]] (например, рабочая тетрадь) также может включать тщательно написанные последовательности действий ([[Детализированная последовательность задач как когнитивная опора]]).
Динамические когнитивные каркасы могут быть более мощными, потому что они ведут себя и реагируют на учащихся. Великие учителя поддерживают высокодинамичную учебную среду на каркасах в своих классах - иногда почти незаметно, подталкивая и управляя разговорами, чтобы поддерживать значимость, чтобы исчезнуть по мере роста учащихся.
Одним из распространенных типов динамических лесов является просто статические леса, постоянно регулируемые в ответ на акторов. В этом смысле динамические леса являются надмножеством статических лесов.
Одним из особенно важных видов динамических лесов являются метакогнитивные опоры. Среди медиа-форм игры особенно эффективны в поддержке метапознания. См. раздел [[Метакогнитивная поддержка как как когнитивная опора]] и [[Метакогнитивная поддержка требует совместной динамической среды]].
Распространенный стереотип состоит в том, что офисные работники проводят весь день на бесполезных встречах, болтают с коллегами, посещают переговоры, поддерживают отчеты и т.д. Но это не так - эти занятия иногда весьма ценны!
К сожалению, творческая работа - это тяжелая деятельность. Когда возникают проблемы, легко провести весь день, посещая собрания или отвечая на вопросы - не потому, что вы решили, что это самое ценное, что нужно делать, а потому, что вы занимаетесь [[Замещение деятельности]], ''избегая'' своей настоящей работы.
Проблема здесь не в том, что эти занятия никогда не приносят пользы и что всем будет лучше, если они отменит все свои собрания. Дело в том, что эти действия иногда весьма ценны, поэтому очень легко не заметить, когда вы на самом деле используете их, чтобы спрятаться.
Я заметил, что при работе в одиночку замещение становится более очевидным. Нет списка рассылки с вопросами, на которые нужно ответить, поэтому действия по резервному копированию часто больше похожи на серфинг в Интернете, или на уборку дома, и на что-то еще. Сложнее случайно убедить себя, что это работа!
Контекстная обратная ссылка отображает не только ссылку из другого места, но и конкретный контекст вокруг этой ссылки - например, страницу книги или ссылающийся абзац.
Связанные: [[Отдавать предпочтение мелкозернистым ассоциациям]]
«Концептуальный дескриптор» - это запоминающаяся именная фраза, представляющая сложную, часто абстрактную тему. Например: «дилемма заключенного», «окно Овертона», «вера в веру» и т. д. В моем собственном сочинении примеры включают в себя благоприятную среду , реализованный опыт и т. д. «Концептуальный дескриптор» представляет собой дескриптор концепции, придуманный Скотт Александр .
Удачная обработка концепций может действительно усилить расплывчатую идею, которую многие люди вроде бы понимают, но не могут указать и о которой говорить. Если дать этому расплывчатому понятию четкое, запоминающееся название, вы сможете разблокировать много разговоров и размышлений. Пер Александр:
::Я вряд ли открою для себя какое-то совершенно новое социальное явление, о котором раньше никто не думал. Но есть много вещей, о которых люди имеют смутные туманные представления, которые они не могут выразить словами. Превратить их в кристально чистые идеи, которыми они могут манипулировать и обсуждать с другими, - это большое дело.
Если вы придумываете что-то интересное и очень кратко вбиваете это в чью-нибудь голову, не тратьте это зря! Дайте ему красивую концепцию-дескриптор, чтобы они запомнили его и могли использовать для решения других проблем!
Один из способов представить себе дескрипторы концепций - это [[Заголовки вечнозеленых заметок похожи на API]].
TODO Это связано с Максима стоиков - сделать заметку на эту тему
!!!References
https://slatestarcodex.com/2016/02/20/writing-advice/
[[Советы по написанию документальной литературы]] - это гугл транслейт этой ссылки
Первоначально охарактеризованная [[Hermann Ebbinghaus]], «кривая забывания» описывает класс связанных степенных явлений, связанных с забыванием и памятью: грубо говоря, «сила восстановления» памяти (см. [[Двухкомпонентная модель памяти]]), кажется, уменьшается по степенному закону. кривая после первоначального экспонирования.
Первоначальные эксперименты Эббингауза установили кривую забывания с точки зрения количества усилий, необходимых для повторного изучения бессмысленных слогов по прошествии некоторого времени. Больше времени требовалось, поскольку интервал сеанса увеличивался вдоль того, что он считал экспоненциальной кривой.
Последующая литература (например, Wickelgren, 1974) переосмыслила этот эффект как вероятностный (и степенной, а не экспоненциальный): вероятность отзыва со временем падает по обратной степенной кривой, которая также модулируется экспоненциальной составляющей, учитывающей помехи.
Wixted и Carpenter (2007) резюмируют кривую забывания как:
P (отзыв) = m (1 + ht) ^ - f,
где m - степень начального обучения (т.е. вероятность в момент времени 0), h - коэффициент масштабирования по времени. , f - коэффициент экспоненциального затухания памяти.
!!!References
A Contribution to Experimental Psychology (H. A. Ruger & C. E. Bussenius, Trans.). (Original work published 1885)
Wickelgren, W. A. (1974). Single-trace fragility theory of memory dynamics. Memory & Cognition, 2(4), 775–780.
Wixted, J. T., & Carpenter, S. K. (2007). The Wickelgren power law and the Ebbinghaus savings function. Psychological Science, 18(2), 133.
Природа не терпит пустоты; современная культура не терпит молчания или тишины. Если у меня появляется свободное время, то, по-видимому, культурно «по-умолчанию» я должен его заполнить - чтением или прослушиванием (книги, статьи, подкасты), дружеским разговором, задачей, ориентированной на исполнение. Эти занятия, конечно, могут быть успокаивающими и приятными, но они часто сочетаются, так, что дни или недели могут легко пройти без непрерывного часа, проведенного в глубоких размышлениях о собственных идеях. В почтовом ящике (чтение, электронная почта, вкладка браузера, список дел) всегда много чего другого.
Некоторое программное обеспечение для совещаний имеет счетчики, которые показывают, сколько говорит каждый участник - сколько «эфирного времени» каждый из них потребляет. Вы можете представить, как распространить ту же концепцию на мысли и мысленную речь. Проницательность, конечно же, требует входных данных, поэтому вы не захотите уединяться на неопределенное время. Но как вы можете отойти от проторенных творческих путей, если чужие голоса постоянно потребляют гораздо больше умственного «эфирного времени», чем ваши собственные? [[Трудно услышать свои собственные мысли]] .
Странно, что это, кажется, ситуация по умолчанию, даже в номинально творческих рабочих ролях. См. также: [[Замещение деятельности]]. Есть одно очень полезное противоядие: [[Скучайте]]
[[Беседы и занятия создают давление и эмоциональную подпитку для понимания]], но сама лекция часто имеет довольно ограниченное воздействие. В идеале вы бы скомпилировали свое новое понимание в какие-нибудь заметки для публикации или книгу, чтобы расширить охват.
Во многих случаях лучше сделать это незадолго до или после разговора: ваша эмоциональная связь особенно высока в этот момент, и весь материал загружен в ваш разум. Поскольку делать эти вещи параллельно сложно, более очевидной стратегией является написание текста для публикации после занятия, но тогда вы можете найти материал относительно скучным, и вам может быть неинтересно его перефразировать. [[Трудно поддерживать эмоциональную связь с творческим проектом во время задержек и перерывов]].
::Есть один способ понять другую культуру, живя в ней. Переместитесь в неё, попросите, чтобы вас терпели как гостя, выучите язык. В какой-то момент может прийти понимание. Это всегда будет без слов. В тот момент, когда вы поймете, что чуждо, вы потеряете желание объяснять это. Объяснить явление - значит дистанцироваться от него.
Питер Хёг, Smilla's Sense of Snow
[[Глубокое понимание требует детального знания основ]], но [[Многие люди считают, что память не важна для глубокой творческой работы]]. Во многих случаях это кажется неудачной жертвой бессмысленного заучивания наизусть в школе: эти переживания казались неприятными и бесполезными, поэтому запоминание память в целом должна быть неприятной и бесполезной. Но при когда его преследуют в поддержку подлинного любопытства или значимого стремления, запоминание может быть как полезным, так и стимулирующим.
См. раздел [[Цели обучения часто подрывают себя]], чтобы узнать больше об антиобразовательной точке зрения этой заметки.
---
"""
Q. Какие ложные обобщения делают многие люди из своего негативного опыта заучивания наизусть в школе?
А. Запоминание должна быть неприятной и не иметь значения для важных вещей.
Q. Как опыт школьного возраста часто приводит к общему отвращению к запоминанию?
А. Заучивание наизусть в школе часто неприятно и бессмысленно.
"""
---
!!!References
Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought?|https://numinous.productions/ttft]]
Итак, означает ли все это, что мы поклонники механической памяти, своего рода принудительного запоминания в обычных школах? Конечно, нет. Мы действительно считаем, что неприязнь многих людей к механическому запоминанию привела их к общей неприязни к памяти и, как следствие, к недооценке той роли, которую она играет в познании. На самом деле память - это центральная часть познания. Но правильный ответ на это - не бесконечное утомительное заучивание наизусть. Скорее, нужно использовать хорошие инструменты и здравый смысл для запоминания того, что действительно важно.
За свою жизнь люди приобретают тысячи навыков - измельчать овощи, читать книги, писать от руки, составлять бюджет и т. д. Эти навыки обычно не улучшаются линейно в течение жизни человека. Вместо этого люди сосредотачиваются на навыке в течение некоторого начального периода, затем он достигает некоторого «достаточно хорошего» плато, а затем в основном остается на нем. Некоторое более позднее событие может привести к тому, что навык снова начнет улучшаться, но, как правило, это нарушенное равновесие.
Это происходит из-за того, что [[Наивные подходы к практике: быстрое плато]]. Как только это плато достигнуто, требуются новые усилия для продолжения прогресса: [[Плато производительности часто требует изменения подхода к преодолению]]. В этот момент дополнительные усилия могут не окупиться, или может быть неясно, как улучшить. Или возможность улучшения может не быть заметной: [[Значимость улучшения способствует развитию навыков]].
Per Thorndike (1921, p. 178):
Основная причина, по которой мы пишем медленно и неразборчиво, добавляем медленно и с частыми ошибками, откладываем ответы на простые вопросы и простые решения между действиями, ... забываем имена людей и наши собственные обязательства, теряем самообладание и т. не то чтобы мы делали все, что в наших силах, в этом конкретном случае. Дело в том, что нам нужно сделать слишком много других улучшений, или мы не знаем, как направить нашу практику, или действительно недостаточно заботимся об улучшении, или некая смесь этих трех условий.
Редко бывает, чтобы люди приближались к своему пределу, или даже незначительное улучшение было бы ужасно трудным. Он приводит забавный пример: Ашаффенбург (1896) проводил ежедневные тесты скорости для опытных наборщиков и без какого-либо другого стимула наблюдал, как они каждый день улучшают свою скорость.
Одно из ярких проявлений этого наблюдения: [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].
Многие блоггеры и «лайф-хакеры» проделали постоянную работу, предложив, как вы должны организовать свой журнал или как вы должны наиболее эффективно [[Пишите о том, что вы читаете]] . Мы должны серьезно отнестись к этому совету, поскольку эта практика помогла авторам достичь значимой творческой работы: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]].
Но большинство людей, которые пишут о ведению заметок, не кажутся особенно совершенными в своих собственных областях, какими бы они ни были. На самом деле, большинство таких писателей не применяют свои заметки к какой-либо экзогенной творческой проблеме: их основная творческая работа *- это*написание о производительности. Эти писатели предлагают советы по ведению заметок, чтобы помочь ученым и руководителям справиться с проблемами их работы, но советы были разработаны в контексте, оторвающемся от этих внешних реалий. Здесь есть две связанные с этим проблемы: [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]] , и [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].
Луманн, напротив, едва писал о своем [[Zettelkasten]] : он сосредоточился на своих плодовитых результатах исследований, а затем опубликовал пару небольших эссе о своих практиках ближе к концу своей карьеры.
Я сам не совсем виноват в этой проблеме, но я, безусловно, погружаюсь в такое поведение неделями за раз. Это предостерегающая заметка. Похожее: [[Самые эффективные читатели и мыслители, которых я знаю, не делают заметок при чтении]].
Самая простая стратегия масштабирования [[Превращение любой веб-страницы в мнемоническую среду]] - неприменима к большинству текстов (даже новых), потому что они не публикуются в виде [[Web-книги]].
Современные издатели привыкли готовить заголовки для множества мест назначения (макеты для печати, EPUB, копии в формате Kindle), но немногие публикуют их в виде веб-страниц. Те, кто предлагает онлайн-чтение, обычно делают это через (ужасный) веб-ридер EPUB. O'Reilly - интересное исключение: они представляют книги в Интернете как прямые веб-страницы.
Однако EPUB - это веб-страницы с ограничениями, поэтому любой, кто готовит EPUB, не так уж далек от веб-публикации.
!!!Возможные препятствия на пути массового внедрения веб-публикаций
См. Общие комментарии в разделе [[Массовое распространение письменных средств массовой информации с новыми когнитивными функциями требует массового распространения чтения на компьютерах]].
!!!Зарабатывать деньги
Если вы делаете EPUB, Amazon занимается распространением. Если вы публикуете веб-книгу, вы занимаетесь ее распространением. Думаю, это препятствие для многих.
Было бы хорошо, если бы будущие книги можно было бы сделать доступными в открытой сети, мгновенно связанными без каких-либо препятствий. Такой подход потребует от авторов какого-то способа зарабатывать деньги. Я не уверен, что это такое. У микроплатежей за контент сложная история, но, возможно, криптовалюта изменит ситуацию. Реклама - неудачное решение, и я скептически отношусь к тому, что они могут приносить достаточный доход. Модели чаевых работают для некоторых авторов, публикующих статьи в Интернете, но они не кажутся предсказуемыми и достаточно масштабируемыми для массового внедрения.
Я думаю, что до тех пор, пока традиционные издатели будут участвовать в этом процессе, большинству просто потребуются единовременные платежи. Я не знаю ни одного общего сервиса, который позволил бы вам разместить веб-книгу за одноразовым платным доступом. Gumroad делает это для загружаемого контента. Похоже, что для этого есть плагины Wordpress, но они не выглядят идеально.
!!!Издательские инструменты
Если вы публикуете печатную книгу, вы используете InDesign. Если вы публикуете электронную книгу, Amazon предлагает бесплатные инструменты для массового рынка, которые, например, можно легко конвертировать из документа Word. Если вы публикуете веб-книгу… что именно вы делаете? Может быть, Wordpress справится с серверами, но как вы помещаете книгу в Wordpress? Наверняка вы не писали это в редакторе Wordpress.
К сожалению, [[Читать тексты на компьютере неприятно]]. Может быть, отчасти поэтому [[Популярность электронного чтения резко уступает всем книгам]].
Со стороны авторов тоже есть проблемы:
* [[Массовое внедрение мнемонической среды, по-видимому, требует массового внедрения веб-публикаций]].
* [[Авторы могут получать больше от продажи печатных изданий (если также продают электронные книги)]].
Попытка извлечь информацию из памяти, к которой трудно получить доступ, будет иметь ''большее влияние'' на последующие попытки извлечения, чем попытки получить информацию, к которой легко получить доступ (в памяти).
::TODO Высказано как гипотеза [[Роберт А. Бьорк]] и Бьорка (1992), синтезируя совокупность эмпирических исследований, опубликованных в другом месте (которые я не исследовал).::
[[Insight через создание]] для [[Инструменты для размышления]] требует разработки новых программных интерфейсов, которые выражают теории предметной области, а затем изучения этих интерфейсов и их использования для улучшения ваших теорий.
На практике довольно сложно глубоко задуматься над теориями, находясь в разгаре значительного проекта разработки программного обеспечения. Трудно набрать обороты в разработке программного обеспечения, если большую часть дня тратят на размышления и письма. Хуже того: [[Высокие затраты на переключение между разработкой программного обеспечения и исследовательским мышлением]].
Связанная с этим проблема: [[Сфокусированная работа по разработке программного обеспечения - это самоотречение]].
Ericsson and Pool (2016) используют термин *«ментальные представления»* в качестве сокращенного обозначения схемы чанков ([[«Чанки» в человеческом познании]]), которые человек использует в некоторой области ([[Эффективные схемы чанков обычно кодируют атрибуты, зависящие от домена]]).
Ментальные представления (aka Чанки) имеют значение, потому что возможности обработки информации зависят от их сложности. [[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]] , а [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]].
::… Ментальные представления… позволяют быстро обрабатывать большие объемы информации, несмотря на ограничения кратковременной памяти… можно определить ментальное представление как концептуальную структуру, предназначенную для обхода обычных ограничений, которые кратковременная память накладывает на умственную обработку. (Ericsson and Pool, 2016 г., стр. 61)
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!!!References
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
[[Обучение требует метапознания]], но среда может снять часть этого метакогнитивного бремени с плеч учащихся.
В классе учителя выполняют большую часть мониторинга, оценки, планирования и исполнительного контроля. Конечно, иногда они делают этого слишком много, но во многих ситуациях это может освободить учащихся, чтобы они могли сосредоточиться на имеющемся материале.
На [[Quantum Country|https://quantum.country/]] чередующиеся обзорные сессии помогают читателям замечать, когда они не усваивают материал, и дают им ощущение легкости, когда их память крепка. Среда также планирует и соответственно выполняет последующую практику памяти.
Игры особенно хороши в этом:
* [[Игры помогают игрокам оценить свои развивающие навыки]]
* [[Игры помогают игрокам строить и адаптировать планы]]
[[Метапознание по своей сути - динамично]] , поэтому для разработки среды, предлагающей метакогнитивную поддержку, эта среда должна динамически вести себя и реагировать на взаимодействие участников с материалом.
Среды, которые являются динамическими, но не предполагающими участия (как большинство «исследуемых»), не имеют ничего, на что можно было бы реагировать.
Среды, которые являются совместными, но не динамичными, не могут изменять свое сообщение или поведение в ответ на действия участников.
Это одна из причин, по которой большинство объяснительных средств массовой информации заставляют участников запускать свои собственные циклы обратной связи: большинство пояснительных средств массовой информации статичны.
Статические носители иногда пытаются обеспечить метакогнитивную поддержку, представляя фиксированные метакогнитивные «программы» для «выполнения» участниками, например, «если вы не знакомы с использованием XOR в этом контексте, обратитесь к странице 240». Они явно ограничены; они по-прежнему заставляют участника много работать.
Мониторинг, регулирование и планирование являются динамичными процессами. Концепции участников постоянно развиваются, и исполнительный контроль должен соответствующим образом адаптироваться.
Последствия: [[Метакогнитивная поддержка требует совместной динамической среды]]
Распаковать:
::Одна полезная метафора для размышлений о том, как улучшить мнемоническую среду, - это думать о каждом мнемоническом эссе как о стандартном эссе, сопровождаемом своего рода «отраженным эссе» - знании, закодированном всеми карточками. Пользователь может легко запомнить столько отраженного эссе, сколько пожелает. Конечно, отражение несовершенное. Но, разработав хорошие стратегии создания карточек, мы можем сделать отраженное эссе почти точным отражением всех важных идей, идей, которые читатель в идеале хотел бы сохранить.
[[Хорошее замечание от Джакомо Рандаццо (2020-09-10|https://twitter.com/randiisan/status/1304124608292040705]]
::Мне нравится метафора «отраженного эссе», но я думаю, что она неполная. Да, как читатель, я хочу руководствоваться размышлениями автора, хочу, чтобы вопросы охватывали все идеи эссе. Но я также хочу связать идеи со своей жизнью, с моим личным опытом.
Аналитическое и [[Синтопическое чтение]]
!!!References
Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought?|https://numinous.productions/ttft]]
[[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]. Один из возможных рычагов - дать пользователям простой способ снизить приоритет материала, который им не важен. В частности, возможно, мы могли бы предложить кнопку «пропустить», которая откладывает запрос с экспоненциальным откатом. Это была бы более низкая альтернатива удалению: [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]].
!!!Влияние на эффективность
Но будет ли это провалом? Будут ли ученики использовать кнопку слишком часто, так что ничего не выучите?
Нейт Корнелл и Роберт А. Бьорк (2008) обнаружили, что «разрешение бросать карточки имело небольшое, но неизменно негативное влияние на обучение».
::68% вопросов были отброшены только после одного правильного ответа, а еще 8% были отброшены без правильного ответа.
… Возможность бросать предметы имела особенно негативные последствия для 20% участников, чья стратегия обучения заключалась в том, чтобы отбрасывать предметы, которые они считали трудными для изучения
… В интересах обеспечения длительного обучения предметы, если они выпали, должны быть возвращены позже. Повторное изучение ранее выпавших предметов дает дополнительные возможности для изучения этих предметов. Он также определяет элементы, которые на самом деле не были изучены и нуждаются в дальнейшем изучении.
Уитмер (2020) провел эксперимент с морскими пехотинцами, проходящими обучение, дав одной группе возможность сбросить карты. У этих слушателей после тестов память была значительно хуже.
!!!References
Kornell, N., & Bjork, R. A. (2008). Optimising self-regulated study: The benefits—And costs—Of dropping flashcards. Memory, 16(2), 125–136.
Whitmer, D. E., Johnson, C. I., Marraffino, M. D., Pharmer, R. L., & Blalock, L. D. (2020). A Mastery Approach to Flashcard-Based Adaptive Training. In Adaptive Instructional Systems (pp. 555–568). Springer International Publishing.
Основная механика [[§Система интервального повторения]] исключает принятие решений и смекалку с критического пути. Скажите, что вы хотите изучить молекулярный путь клеточного метаболизма. Без SRS вам нужно было бы составить план вроде «Я изучаю клеточную биологию по вторникам вечером», запомните этот план и вызовите волю, чтобы выполнять его неоднократно. Но если у вас есть активная практика SRS, вы можете добавить несколько подсказок в свою библиотеку и быть уверенными, что через какое-то время вы их снова увидите.
Вам не нужно решать, как часто вы будете их изучать. Вам не нужно проявлять силу воли для изучения этих конкретных подсказок - только для того, чтобы приходить на ежедневную практику SRS. Ваше решение о том, как пометить подсказку, также не имеет значения: этот выбор просто поворачивает ручку; подсказка появится снова в любом случае. Чувство в гештальте - это действие без усилий ([[Wu wei]]).
Это очень не похоже на то чувство, которое возникает, например, при ведении почтового ящика, который полон важных решений: [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]].
Это ощущение непринужденности - одна из причин, почему меня интересует принцип [[Всё разнесено]]: я хотел бы сделать это не только с подсказками памяти.
[[Kawara]], приложение для интервальных повторений, ориентированное на вдохновение, хорошо передает это чувство: «Кавара не позволяет мне забыть, но и не заставляет вспоминать».
Здесь есть связь с функцией «автовоспроизведение» в YouTube или Netflix, когда программное обеспечение управляет вами, а не наоборот. В таком контексте это несколько враждебные отношения; здесь стремление состоит в том, чтобы «запрограммировать себя» так, как вы сами одобрили бы это. (см. также [[Системы интервального повторения могут использоваться для программирования внимания]])
"""
Q. Как механика интервального повторения развивает чувство легкости?
A. Устраняя важные решения и требования к силе воли.
"""
!!!References
My Twitter thread on this topic: https://twitter.com/andy_matuschak/status/1271997374756315142
Уроки Execute Program имеют четыре состояния:
# Заблокировано (когда одно или несколько предварительных условий не изучены; см. [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]])
# Разблокирован (когда все предварительные условия изучены, но вы еще не прошли этот урок)
# Активный (когда вы проработали урок, но не просмотрели его)
# Усвоил (когда вы хотя бы раз просмотрели урок)
Презентация завершается словом «выучено», что достигается, когда читатель просматривает урок только один раз. Он не делает различий между продемонстрированным удержанием в течение одного месяца и одного дня.
Это панель управления курса в Execute Program:
[img[Снимок экрана 2021-04-14 в 4.51.22 PM.png]]
Этот верхний кружок представляет долю усвоенных уроков в курсе. Таким образом, вы «заканчиваете» курс, когда все уроки усвоены, даже если их интервал SRS составляет ''всего день или два''.
Это интересно контрастирует с [[Quantum Country]], в которой прогресс сводится к достижению более высоких уровней устойчивости отзыва.
Одно интересное последствие такой структуры состоит в том, что, когда пользователи однажды просмотрели все уроки в курсе, они в целом чувствуют, что они «готовы». Они по-прежнему получают уведомления об обзорах, но пользовательский интерфейс не связывает с этими отзывами какой-либо значимой цели, поэтому многие пользователи, вероятно, откажутся от них в этот момент.
"""
Q. Что означает «завершение» урока в Execute Program?
A. Работа над ним и просмотр хотя бы один раз.
Q. Чем акцент в механике Execute Program отличается от акцента в Quantum Country?
A. Он подчеркивает первоначальный прогресс через уроки курса по сравнению с длинным прогрессом, увеличивая интервалы SRS.
"""
[[Миллер, Дж. А. (1956). Магическое число семь, плюс-минус два: некоторые ограничения на нашу способность обрабатывать информацию|http://www2.psych.utoronto.ca/users/peterson/psy430s2001/Miller%20GA%20Magical%20Seven%20Psych%20Review%201955.pdf]]
* Мы ограничены конечным [[Диапазон абсолютного суждения]]
** Что мы можем рассматривать с теоретической точки зрения информации: [[Пропускная способность человека как обработчика информации]].
** [[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]]
* У нас также есть ограниченный [[Объем рабочей памяти]].
** Важное наблюдение: [[Объем рабочей памяти, в основном, не зависит от сложности элемента]].
** Создано в этой статье: [[«Чанки» в человеческом познании]].
* Значение критического наблюдения: [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]].
** Ранний эксперимент, описанный в этой статье: [[Перекодирование может увеличить размер чанка]]
* [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]].
[[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]. Это означает, что тексты в [[Мнемоническая среда]] - в частности, подсказки - должны быть написаны так, чтобы их можно было использовать не только во время некоторого начального сеанса чтения, но и в десятках случаев в течение следующих недель и месяцев ([[Своевременный текст]]).
Первоначальная реализация среды в Quantum Country не имеет большого значения с точки зрения авторов. Читатели видят один и тот же материал на каждой сессии обзора. Поскольку эти существенные изменения (например, [[Запросы приложения должны изменяться при повторении]]), эволюция не строятся с учетом календарного времени.
Среда создает контекст, в котором читатели неоднократно возвращаются к авторскому материалу. Должна быть возможность использовать этот контекст для раскрытия авторского опыта с течением времени. Это было бы необычно для средства массовой информации: [[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]].
Один простой пример - со временем добавлять все более целостные синтетические вопросы. Другим примером может быть разблокирование новых отрывков от автора с течением времени, представленных либо в сеансе рецензирования, либо с помощью механизма уведомления о рецензировании (как в [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]]; но ''предупреждение'': [[Эффективный просмотр расписание находится в противоречии с последовательностями закрытых курсов]]).
Другой подход: мы переименовываем «5-дневный уровень» в «уровень 2», «двухнедельный уровень» на «уровень 3» и так далее; тогда авторы могут потребовать, чтобы читатели преуспели в своего рода «схватке с боссом» до завершения уровня. Это может быть несколько более длительная задача, например, написание ответа длиной в абзац на одну из выбранных подсказок.
Еще один подход: [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]].
Используя [[§Система интервального повторения]], вы заполните ее заметками о том, что вы изучаете, наблюдаете и думаете. К сожалению, [[Существующие системы интервального повторения препятствуют использованию вечнозеленых заметок]]. Система памяти поможет вам сохранять и постоянно заниматься тем, что вы пишете, но не очень поможет вам развить эти идеи с течением времени. Система [[Вечнозеленые заметки]] поможет вам развивать свои идеи с течением времени, но не поможет вам сохранять и постоянно взаимодействовать с этими заметками ([[Ведение вечнозеленой заметки - это интервальное повторение]]). Итак, вы застряли, либо беспорядочно дублируя свои усилия в двух отдельных системах, либо отказываетесь от преимуществ одной системы.
[[Мнемоническая среда]] решает подобную проблему для опубликованной прозы: [[Мнемоническая среда придает нормально-атомизированную структуру подсказкам для интервального повторения]]. Можно использовать тот же подход, чтобы структурировать свои личные подсказки для интервального повторения в своих личных заметках. Мы можем назвать это {''личной мнемонической средой''}.
Например, можно представить себе создание приглашения {закрыть удаление} в личных заметках, {заключив его в фигурные скобки}.
"""
И можно создать традиционное двустороннее приглашение, подобное этому:
Q. Если кто-то делает заметки только в Anki, какие ключевые ограничения могут возникнуть?
A. (например, отсутствие случайного нахождения заметок при написании заметок, отсутствие возможности легко развивать заметки с течением времени, ограниченные связи между заметками, трудно «прочитать» свои заметки по предмету и т. д.)
"""
!!!Реализации
См. [[Моя реализация персонального мнемонического носителя]].
Есть несколько уже существующих реализаций чего-то вроде этой идеи:
* [[Mochi]], который делает невозможным написание [[Вечнозеленые заметки]]
* [[RemNote]], имеющий властную формальность
* [[ObisidantoAnki]], более продуманная и настраиваемая реализация чего-то похожего на мою реализацию личного мнемонического носителя. Требуется несколько ручных шагов.
* [[Ankify]] , который требует ручных действий - не предназначен для автоматического запуска в фоновом режиме.
* [[TiddlyRemember]], синхронизируется с TiddlyWiki с использованием некоторой настраиваемой разметки; требует ручного шага синхронизации, Сорен Бьорнстад
!!!References
Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html
::Я начинаю выявлять открытые проблемы, вопросы, на которые лично я хотел бы получить ответы, но на которые, похоже, еще нет ответа. Я выявляю края новых идей, которые кажутся новыми возможностями, но значение которых я еще не знаю. И иногда я выявляю то, что мне кажется слепыми пятнами всего поля. Я также добавляю вопросы обо всем этом в Anki. Таким образом, Anki является средством поддержки моих творческих поисков. У него есть некоторые недостатки как у такого носителя, поскольку он не предназначен для поддержки творческой работы - он, например, не приспособлен для длительного исследования в свободной форме внутри рабочего пространства.
Подход, описанный в разделе [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], поможет читателям укрепить уверенность в прочитанном, используя эти знания в простых, заученных наизусть ситуациях. Однако, чтобы развить более гибкое понимание, читатели должны научиться творчески применять полученные знания в незнакомых ситуациях ([[Трансферное обучение]]).
Среда Мнемоники может включать в себя «около передачи» подсказки: задачи , которые кажутся не знакомы, но которые в основном требует выяснить , какую знакомую информацию / необходимо использовать процедуры (в какой момент они становятся просто).
Например, рассмотрите:
`What’s the missing gate in this circuit?
|0> —> [?] —> Y —> -i|0>`
Вы могли бы написать множество вариантов этого, но это противоречит цели. Весь смысл подобных вопросов в том, что они просят вас перенести свои знания в какой-то незнакомый контекст. Вы можете изменить следующий вариант:
`How could you transform a |1> into a |+> with elementary gates?`
Выполнение большего количества подобных задач поможет вам лучше справляться с задачами типа ''заполнить ворота'', но я не думаю, что это поможет вам лучше переносить свои знания в незнакомые контексты.
Существует множество задач, близких к передаче, которые удовлетворяют многим предположениям, описанным в [[Простые подсказки приложения могут быть представлены так же, как подсказки отзыва в мнемоническом носителе]], но для них, вероятно, потребуется другой механизм. Роль повторения в этих вопросах различна: с помощью подсказок приложения повторяющиеся вариации помогают познакомиться с одним навыком; с подсказками о близком переносе вариации по определению не должны быть взаимозаменяемыми.
Один из подходов - думать об этом как о «битве с боссом». Вы отвечаете на пару вопросов типа «битва с боссом», когда заканчиваете читать эссе, и на каждом этапе повторения ... но каждый раз они разные. Может там набор 20-30 или что-то в этом роде. Если вы сделаете одно правильно, нет необходимости повторять его. Если вы ошиблись, то через несколько месяцев снова вспомните, и, надеюсь, вы забыли.
Это пример того, как [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
!!!References
Wiggins, G. P., & McTighe, J. (2005). Understanding by design.
В интервью читатели Quantum Country по-разному рассказывали нам, что встроенные вопросы подталкивают их к более внимательному чтению или что вопросы помогают им заметить, когда их внимание неосторожно. Не говоря уже о прямом влиянии подсказок на память, вопросы [[Мнемоническая среда]] могут просто помочь читателям замедлиться и обратить внимание при чтении. [[Понимание требует активного вовлечения]], поэтому этот эффект может привести к более глубокому пониманию.
Было бы интересно эмпирически сравнить количество времени, которое читатели тратят на эссе с вопросами и без них, вычитая количество времени, которое читатели мнемонической среды тратят непосредственно на вопросы. Данные Eye-tracking были бы интересным инструментом.
::Мне понравилось, что они его разогнали. Я могу отключиться и оставаться таким, продолжая «читать», что, вероятно, является моим основным состоянием, когда я «читаю» что-нибудь долгое время. Но здесь каждый блок обзора - это точка, где я гарантированно сброшу.
[[Мнемоническая среда предоставляет подсказки, созданные экспертами]], что помогает улучшить написание подсказок с хорошим интервалом повторения в памяти ([[Трудно написать хорошие подсказки для интервального повторения]]). Но, добавляя подсказки, мы также помогаем читателям, которые хотят написать свои собственные подсказки. Они могут увидеть опытные примеры написания подсказок, которые они могут использовать в качестве шаблонов для своих собственных подсказок.
Несколько читателей Quantum Country рассказали нам, что они попробовали и отказались от Anki до того, как прочитали Quantum Country, но с тех пор они вернулись к нему теперь, когда у них есть более четкое представление о том, как писать подсказки.
Более активный вариант: встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя.
Отзывы пользователей об этом эффекте
Джакомо Рандаццо о влиянии Quantum Country / 28 марта 2020 г . :
::Серия Quantum Country сыграла важную роль в развитии моей практики с Anki. Карточки хорошо продуманы и включают идеи для построения вопросов и ответов, которые не очевидны в начале. Авторы проделывают большую работу по постепенному внедрению идей. Для людей с достаточным математическим образованием, которые хотят научиться эффективно использовать любое программное обеспечение с интервалом повторения, я думаю, что затраты времени на прохождение всей серии чрезвычайно ценны! »
!!!References
[[Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought?|https://numinous.productions/ttft]]
… Создание хороших карт - это сложный навык, поэтому пользователи теряют, не создавая свои собственные карты, за счет использования карт гораздо более высокого качества, чем они могли бы сделать самостоятельно. В будущем стоит углубиться в этот вопрос, чтобы понять его, выходя за рамки неформальных моделей, и изучить способы получения преимуществ от активного создания карт.
[[Мнемоническая среда]] помогает читателям вспомнить конкретные детали от того, что они читали, но многие читатели инстинктивно чувствуют , что их отзыв может быть слишком жестким ограничиваются заученными ответами попугая на знакомые вопросы. Они интуитивно понимают, что реальное понимание более подвижно, чем это, что его следует применять в новых ситуациях (например, [[Передача обучения]]). Многие читатели говорят, что они начинают чувствовать, что что-то понимают, когда они могут использовать это понимание на практике или в обществе.
Чтобы //действительно// сделать это возможным - создать среду в соответствии с принципами, описанными в разделе [[Благоприятная среда сосредоточена на том, что включено]], - нам нужно было бы сделать [[Primer ++]] . Но мы уже видели, что [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]], поэтому мы можем сделать шаг в этом направлении, расширив мнемоническую среду, включив в нее простые вопросы, которые просят читателей использовать то, что у них есть, возможно в комбинации c новой ситуацией. Такие вопросы должны помочь читателям развить гибкость и укрепить уверенность в своих знаниях. Эти вопросы расширят возможности мнемонической среды на один значительный уровень по лестнице понимания.
Например, в дополнение к подсказкам, предлагающим читателю вспомнить матричное представление квантового `X` вентиля, мы можем попросить читателя применить это знание, найдя выход схемы с `X` примененным вентилем `(|0> - |1>) / sqrt(2)`. А затем в следующий раз мы можем спросить читателя `What is X(0.8|0> + 0.6|1>)?`: [[Запросы приложения должны изменяться при повторении]].
Этот тип вопросов хорош отчасти потому, что это очень маленький шаг от ваших заученных знаний. Вам не нужно разрабатывать стратегию. Вам не нужно определять процедуру, которую нужно выполнить, и сама процедура тривиальна. Необязательно сочетать множество деталей по-новому.
Мы развернули подсказки приложений в квантовой механике, дистиллированной на [[Quantum Country]]. Что мы уже нашли:
* [[Простые подсказки приложения могут быть представлены так же, как подсказки отзыва в мнемоническом носителе]].
* [[Подсказки приложения написать намного сложнее, чем подсказки отзыва]].
* [[Исследования по подсказкам приложений]]
Еще несколько сложных вариантов этой идеи:
* [[Подсказки приложения могут систематически проверять комбинации деталей в тексте]]
* [[Мнемоническая среда может включать подсказки, поддерживающие ближний перенос]]
Некоторые вопросы:
* [[В какой степени подсказки приложения могут вытеснять подсказки отзыва в мнемонической среде?]]
* [[Следует ли визуально отличать подсказки приложения от подсказок отзыва?]]
Мы еще не понимаем, как разные типы контента используются в [[Мнемоническая среда]]. Но одним из жанров, который, кажется, особенно выигрывает от этого средства, является «платформенное знание». То есть базовый материал, который вы можете использовать для множества последующих действий, таких как Quantum Country . В таких случаях, скорее всего, стоит заплатить накладные расходы на систему памяти.
В некоторых областях на самом деле может быть невозможно изучить более сложные идеи без значительного свободного владения некоторыми знаниями платформы: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].
В других областях, например в науке о климате, небольшой объем знаний о платформе позволяет людям мыслить моделями, а не интуицией.
Более того: [[Знание платформы помогает непрактикам распространять хорошие идеи]].
"""
Q. Почему Quantum Country является примером полезного материала для изучения с помощью мнемонической среды?
A. Это «платформенное знание»: от этого зависит много другого материала.
Q. Почему знание платформы особенно ценно для мнемонической среды?
A. Дополнительные «затраты» на обучение окупаются более эффективно.
Q. Почему типичный пост в блоге может предлагать невысокую цену / выгоду, если он написан на мнемоническом носителе?
A. Большинство сообщений в блогах не являются «знанием платформы»: читатель не опирается на эти знания осмысленно.
"""
[[Трудно написать хорошие подсказки для интервального повторения]], но [[Мнемоническая среда]] устраняет этот барьер для реализации [[§Система интервального повторения]], предоставляя написанные автором подсказки, которые позволяют читателям сохранять материал, не записывая свои собственные.
[[Изучение подсказок для интервального повторения, созданных другим человеком, обычно - неэффективно]], но мы считаем, что мнемоническая среда может решить эту проблему, если более серьезно отнестись к написанию подсказок и встраивать их в повествовательную структуру ([[Мнемоническая среда придает нормально-атомизированную структуру подсказкам для интервального повторения]]).
При увеличении масштаба этот подход может помочь решить проблему. Ограничивающим фактором для пропускной способности системы с интервалом повторения является написание достаточно хороших подсказок. [[Ограничивающим фактором в пропускной способности системы с интервалом повторения является написание достаточного количества хороших подсказок]].
[[Подсказки для интервального повторения сами по себе являются плохим средством коммуникации]], но [[Мнемоническая среда]] дает порядок подсказок и встраивает их в более крупное целое, встраивая их в прозаическое повествование. Этот контекст позволяет читателям строить понимание авторским, структурированным образом. Повествование также дает подсказкам более важную цель, что важно, потому что [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].
См. также обсуждение в разделе [[Расширение возможностей систем памяти: для каких типов понимания они могут использоваться|https://numinous.productions/ttft/#expanding-memory-system-scope]] внутри [[Как мы можем разработать преобразующие технологии мышления?|https://numinous.productions/ttft/#top]]
---
!!!References
Matuschak, A., & Nielsen, M. (2019 0). *How can we develop transformative tools for thought?* [https://numinous.productions/ttft](https://numinous.productions/ttft)
Помимо влияния на память, читатели [[Мнемоническая среда]] поддерживают постоянный контакт с тем, что они прочитали во время сеансов обзора. Вместо того, чтобы прочитать что-то один раз и, возможно, никогда не думать об этом снова, обзорные сессии возвращают читателей к этому тексту снова и снова. Это своего рода [[Своевременный текст]]
Каков эффект этого контакта с течением времени?
* Я подозреваю, что это существенно меняет отношение читателей к тексту. Поскольку вас заставляют постоянно думать об этом материале с течением времени, легче идентифицировать, скажем, человека, который думает о квантовых вычислениях, а не просто того, кто однажды прочитал статью о квантовых вычислениях.
* Это создает возможности для спонтанных связей. «О, да, эта подсказка снова напомнила мне…» Эффект может распространяться не только на обзорную сессию, но и на случайные связи, установленные во время прогулок, поскольку сессия «освежает» этот материал в сознании читателей.
* В частности, если подсказки написаны, чтобы вдохновить на размышления или синтез, этот эффект создает возможности для взаимодействия с материалом на все более глубоких уровнях с течением времени. Например, подсказка, предназначенная для того, чтобы помочь вам задуматься о своей практике дизайна, может работать по-разному в первый день и в тысячный день. (см. также [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]
* Под другим углом: [[Системы интервального повторения как катехизис]]
Выходя за рамки простого контакта: [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]]
[[Readwise]] пытается добиться аналогичного эффекта за счет более пассивного взаимодействия.
Одна из первых теорий в нашем дизайне мнемонической среды заключалась в том, что если кто-то пересмотрит содержание главы 1 несколько раз, ему будет легче понять главу 2: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].
Если серьезно отнестись к этой идее:
# Можно было бы писать более поздние главы не как отдельные тексты, а как целенаправленные дополнения к предыдущим главам, предполагая, что читатель полностью усвоил этот материал.
# Можно написать главы меньшего размера, чтобы рабочая память не переполнялась; можно использовать границы глав как «контрольные точки», прежде чем строить что-то новое на основе этого предшествующего материала.
# Кто-то может предложить читателям перейти к следующей главе: пассивно в списке глав или заранее с уведомлением. Можно даже открыть доступ к более поздним главам о прогрессе через необходимые главы.
# Можно включить расширенное календарное расписание в свое письмо: если вы знаете, что читатель не дойдет до главы 5 раньше, чем через два месяца после главы 1, это может значительно изменить отношения авторов с читателями в своей прозе. ([[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]]).
[[Execute Program]] реализует первые три из этих понятий и, безусловно, создает довольно тщательно подобранный опыт:
# [[Уроки Execute Program предполагают твердое напоминание предыдущего материала]].
# [[Уроки Execute Program довольно короткие]]
# [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]].
Это один из возможных вариантов. [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
Это относится к [[Поэтапное чтение]], но автор имеет несколько больший контроль над составом сеанса.
Чтобы достичь в среднем 2 месяцев продемонстрированного удержания, читатели первого эссе [[Quantum Country]] vQCVC 2019H1 (первая версия эссе) потратили в среднем 90 минут на просмотр. Поскольку среднестатистическому читателю требуется около 4 часов, чтобы прочитать эссе, мы можем рассматривать время просмотра как относительные накладные расходы: потратив на 35-50% больше времени на эссе, читатели надежно сохранят все его детали.
Это как дополнение. Хотите авокадо с гамбургером за 2 доллара дополнительно? Похоже, что детальное удержание работает так, по крайней мере, для QCVC. Что, если бы вы могли «купить это дополнение» для всего, что читаете? Или если бы вы могли потратить на 10% больше времени, чтобы сохранить подмножество деталей, которые вы считаете наиболее ценными?
Неизбежность, связанная с этим предложением, делает мнемонический носитель возможной [[Исполняемая стратегия]] для решения. [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]].
Насколько малы мы можем уменьшить эти накладные расходы? Если посмотреть на читателей QCVC 2019H1 и 2019H2 (у последних более агрессивный график), кажется, что мы, возможно, уже снизили стоимость на 25%.
!!!References
Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft
Говоря другим, что [[Системы памяти с интервалом повторения делают выбор в пользу памяти]], люди часто реагируют весьма негативно: «Какой смысл запоминать все это? Такое знание не имеет значения: мне нужно концептуальное понимание, творчество, артистизм и т. д.!»
Один из ответов на это - указать, что на самом деле [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]. Но также важно серьезно отнестись к заявлениям о ценности запоминания. Некоторые ответы там:
* [[Глубокое понимание требует детального знания основ]]
** [[Опыт требует построения сложных схем перекодирования чанков]]
** [[Люди недооценивают важность памяти из-за плохого опыта заучивания наизусть в школе]]
* [[Системы памяти с интервальным повторением помогают сосредоточиться на более глубоком взаимодействии, автоматизируя механическое запоминание]]
* [[Системы памяти с интервальным повторением могут ускорить неприятные ранние этапы изучения предмета]]
---
!!!References
Matuschak, A., & Nielsen, M. (2019, October 0). *How can we develop transformative tools for thought?* [https://numinous.productions/ttft](https://numinous.productions/ttft) (see section “ [How important is memory anyway?](https://numinous.productions/ttft/#how-important-is-memory) ”)
Многие из самых эффективных людей, которых я знаю -живые и мертвые - кажутся неспособными делать серьезное мышление без письменной поверхности перед ними. Кажется, что это каким-то образом расширяет познание: возможно, это эффективно расширяет [[Объем рабочей памяти]] , или, возможно, перемещение пальцев каким-то образом способствует мышлению.
Например, в интервью Чарльзу Вайнеру Ричард Фейнман сказал, что для него (1973) газета - это не просто запись работы, проделанной в его голове.
Говорят, что Гротендик, выдающийся математик 20-го века, не может думать без письменной речи (2007):
::Он импровизировал быстрым и элегантным почерком. Он сказал, что не может думать без письма. Мне бы самому было удобнее сначала закрыть глаза и подумать, а может просто лежать, но он так думать не мог, пришлось взять лист бумаги, и он начал писать. Он написал X → S, несколько раз проходя ручку на ней, видите ли, пока персонажи и стрелка не стали очень толстыми. Он каким-то образом наслаждался видом этих объектов.
!!!Ссылки
Фейнман, Р. (1973, 4 февраля). [[Интервью К. Вайнер. Библиотека и архив Нильса Бора, Американский институт физики|https://www.aip.org/history-programs/niels-bohr-library/oral-histories/5020-5]]
Мозговой штурм с другими может создать подвижный социальный контекст для обмена идеями, но когда мы проводим мозговой штурм в одиночку, мы создаем обширное пространство, чтобы вызвать то, что мы уже «почти знаем». Идеи, которые мы можем иметь, в первую очередь ограничены нашим предыдущим мышлением и идеями в этом пространстве (см. [[Скачки в понимании возникают из предыдущих мыслей]]).
Генеративное некритическое мышление мозгового штурма может привести к неожиданным результатам, но часто мы также используем мозговой штурм как практический способ собрать все наши идеи о предмете в одном месте. Это может быть признаком того, что мы не разработали наши системы знаний, как описано в разделе [[Знания должны срастаться]]. Благодаря [[Вечнозеленые заметки]] и плотной ассоциативной структуре (см. [[Вечнозеленые заметки должны быть тесно связаны]]), наши идеи постоянно собираются и перерабатываются. [[Написание вечнозеленых заметок помогает накапливать понимание]], поэтому в мозговом штурме меньше необходимости, потому что эти идеи уже появились - и фиксируются в постоянной форме - в повседневной работе.
См. также: [[Вечнозеленые заметки - безопасное место для развития безумных идей]].
---
References
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.
::Поскольку правильному ведению заметок редко учат или обсуждают, неудивительно, что почти каждое руководство по написанию рекомендует начинать с мозгового штурма. Если вы не писали по ходу дела, мозг действительно единственное место, куда можно обратиться. Сам по себе это не такой уж хороший выбор: он не является ни объективным, ни надежным - два довольно важных аспекта в академическом или документальном письме. Пропаганда мозгового штурма в качестве отправной точки тем более удивительна, что не является источником большинства идей: то, что вы должны найти в своей голове с помощью мозгового штурма, обычно не берет свое начало.
::Многие студенты и академические писатели думают, как первые судовладельцы, когда дело доходит до заметок. Они обращаются со своими идеями и выводами так, как это имеет непосредственный смысл: если они читают интересное предложение, они подчеркивают его. Если у них есть комментарий, они пишут его на полях. Если у них есть идея, они записывают ее в свой блокнот, а если статья кажется достаточно важной, они прилагают усилия и пишут отрывок. При такой работе вы получите множество разных заметок в разных местах. Итак, писать - значит полагаться на свой мозг, чтобы запомнить, где и когда были записаны эти записи. Затем текст должен быть концептуализирован независимо от этих примечаний, что объясняет, почему так много людей прибегают к мозговому штурму, чтобы впоследствии организовать ресурсы в соответствии с этой предвзятой идеей.
Поскольку [[Благоприятная (стимулирующая) среда]] может помочь людям делать что-то новое, возникает соблазн создавать среды, которые стремятся помочь новичкам войти в дисциплину, возможно, с помощью упрощенных версий ее действий. Этот подход обычно весьма ограничен. [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]. Этим целям обычно лучше всего служат компетентные специалисты. С этой позиции среда может также включать в себя структуры, помогающие новичкам преследовать те же цели.
Когда среда сосредотачивается на обеспечении упрощенных версий деятельности, целью часто становится само развитие навыков. Это имеет тенденцию ниспровергать свои собственные цели (см. [[Цели обучения часто подрывают себя]]). Среда, предназначенная, например, для решения важных задач в поле, почти автоматически избегает этой ловушки.
Дизайн представлений - одна из наиболее важных частей проектирования благоприятной среды ::TODO write note
Представления, разработанные специально для упрощенных версий деятельности, обычно также не позволяют использовать экспертную практику. Это означает, что эти представления имеют ограниченную силу. Хуже того: они часто не совпадают с изображениями, используемыми экспертами. Но представительства, предназначенные для экспертов, часто могут обслуживать новичков. Когда ученики развивают свои навыки в среде аутентичной практики, они могут использовать упрощенные представления. Но поскольку эти представления были задуманы в контексте экспертной практики, они часто соприкасаются с представлениями экспертов, поэтому могут плавно развиваться. (См. также [[Большинство динамических представлений, разработанных для общения, не очень удобны]])
!!!Примеры и контрпримеры
Исследовательские лаборатории могут быть мощной благоприятной средой. Они могут включать множество структур, которые помогают младшим ученым развиваться: группы чтения, коллоквиумы, семинары по письму и т.д. Когда они хорошо работают, все эти действия направлены на улучшение исследований, а не просто на развитие навыков. Многие из этих мероприятий (например, коллоквиумы) могут оказаться более важными для опытных ученых. Они были созданы для этой цели, а затем, возможно, были добавлены дополнительные структуры, чтобы сделать их более доступными для младших преподавателей. Участие в этих мероприятиях - это участие в дисциплине для всех. Эти мероприятия растут вместе с их участниками.
Mathematica позволяет старшеклассникам визуализировать данные простых экспериментов и управлять ими. Но что еще более важно, это помогает профессиональным ученым более эффективно выполнять свою работу. Инструмент, предназначенный в первую очередь для студентов, вероятно, не поможет профессионалам лучше заниматься наукой; этот инструмент, разработанный для профессионалов, также помогает студентам лучше изучать науку - и вместе с ними расширяет границы знаний.
SimCity - это развлечение - по крайней мере, развитие навыков не является его основной целью, - но его представления кодируют многие предположения настолько фундаментально, что их невозможно плавно преобразовать в представления экспертов. Если ваша цель - заниматься городским планированием, SimCity вам не сильно поможет.
Точно так же Logo дает детям доступ к идеям дифференциальной геометрии. Это замечательно! Но профессиональные геометры, похоже, не считают изображения Logo подходящими для своих исследований. Таким образом, можно сказать, что дети //занимаются// дифференциальной геометрией только в ограниченном смысле, потому что заниматься математикой - это задавать оригинальные вопросы и отвечать на них, а эта среда, похоже, не очень помогает в этом. Паперт не был заинтересован в помощи в первую очередь дифференциальным геометрам, и у него не обязательно был опыт для этого, но интересно представить себе альтернативный логотип, разработанный на основе мощных вычислительных представлений для геометров?
!!!References
::Если вы создадите Mathematica, вы наверняка поможете людям. Но это будет вторично по сравнению с умопомрачительной математикой / теоретической физикой.
[[Идеи Алана Кея о SimCity для OLPC|https://web.archive.org/web/20130904163228/https://www.donhopkins.com/drupal/node/134]]
::Интересны масштабируемость и немасштабируемость идей. Rocky's Boots по-прежнему остается одной из лучших игр, предлагающих глубокие познания. Расширение этого до Robot Odyssey не сработало, потому что логика и программирование проводов недостаточно хорошо масштабировались - удары на усилие резко упали.
Программа Apollo была невероятно мощная [[Благоприятная (стимулирующая) среда]], но она возникла не из проекта, нацеленного на то, чтобы дать ученым множество прекрасных возможностей для личностного роста. Скорее, это было о том, чтобы отправить людей на Луну (и, э-э, спасти мир от Советов). Благоприятная среда стала побочным продуктом этих весьма значимых усилий.
Точно так же, когда Pixar создавал свои революционные инструменты анимации, многие команды работали над компьютерной графикой в течение многих лет, но системы Pixar возникли из усердного стремления к повествовательной мечте: [[Фильмы и разработка технологий Pixar выступают в виде сопряженных маховиков]].
Соборы! Университетские исследовательские лаборатории! Mathematica! Все они следуют этому образцу.
С практической точки зрения, такие контексты обеспечивают очень значимую обратную связь: [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. Они также избегают проблем, описанных в [[Авторская среда значительно окрашена мотивами авторов]]. Но, пожалуй, самое главное, эти проекты также обеспечивают интенсивную личную связь, которая делает возможной отличную работу.
Некоторые последствия:
* [[Мощные благоприятные среды сосредоточены на использовании экспертами]]
* [[Благоприятная среда сосредоточена на том, что включено]]
Можно ли заставить хвост вилять собакой ? Инициировать проект, преследующий какую-то внутренне значимую цель, чтобы воспользоваться благоприятной средой, которая возникает в этом контексте? Не ясно. Наиболее вероятный вариант отказа заключается в том, что результирующий проект действительно не создаст необходимой интенсивной личной связи.
---
References
https://github.com/mnielsen/tpft/blob/master/big_picture.md
Самые мощные инструменты не разрабатываются изолированно. Скорее, они возникают как часть проектов, выполняемых по своим внутренним причинам. Подумайте об искусстве витражей, разработанном для служения Богу в великих соборах. Или о разработке компьютерной анимации для рассказа Pixar. Эти более масштабные цели определяют развитие инструментов, гарантируя их серьезное использование. Это звучит банально, но часто нарушается. «Инструменты» для математики, искусства и т. Д. Часто разрабатываются людьми, которые сами не очень активны в этой области. Если они не проведут чрезвычайно интенсивные исследования пользователей - по сути, в сотрудничестве с серьезными пользователями - им будет чрезвычайно сложно создать что-либо, кроме как выглядящих правдоподобных игрушек.
Для этого мы разработаем серию амбициозных медиапроектов. Это будет - действительно, должно! - действительно стоит того, чтобы делать это само по себе. Но они также будут служить средством развития инструментов для размышления.
XEROX Alto не пытался решить проблемы существующих офисов: он пытался создать совершенно новый контекст, который имел бы свои преимущества и проблемы. Аналогичным образом, нельзя изобрести iPhone, пытаясь решить проблемы Motorola ROKR: это новая вещь, скорее акт изобретения, чем реакция или итерация.
Расширяя от технологии, можно применить это наблюдение к определенным политическим системам (демократия), экономическим системам (крипто), духовным системам (дзогчен) и т. д.
!!!References
Victor, B. (2019, December 12). Presentation at Stripe Convergence.
После подготовительных элементов [[Моя ежедневная рутина]] я начинаю свою первую серьезную творческую работу за день: как минимум два часа писать и редактировать [[Вечнозеленые заметки]]. Обычно это самая сложная работа, которую я делаю за весь день, поэтому мне нравится делать ее, когда у меня есть наибольшая ясность и сосредоточенность. Это не для того, чтобы «делать заметки» в традиционном смысле - записывать идеи других людей или записывать произошедшее - это для развития идей. (т.е. [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]], тогда как [[Написание вечнозеленых заметок помогает накапливать понимание]].
Обычно я начинаю с открытия своего почтового ящика для писем ([[Почтовый ящик для временных и неполных заметок]]) и пролистываю эти подсказки и незавершенные заметки. Если меня что-нибудь поразит, я напишу о них [[Вечнозеленые заметки]]. Это может произойти в течение нескольких дней: я могу значительно дополнить заметку, а затем выдохнуться и оставить ее в своем почтовом ящике, чтобы закончить еще один день.
Если в моем почтовом ящике относительно мало сообщений, я достаю свой блокнот ([[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]]) и заполняю свой почтовый ящик этими заметками. Я не заставляю: если ни одна из подсказок не кажется интересной, я архивирую те, которые кажутся наиболее скучными, и двигаюсь дальше.
Поработав со своим почтовым ящиком, я сосредоточу свое внимание на своих основных творческих проектах и задаю себе такие подсказки, как:
* какие самые важные неизвестные для этого проекта?
* какие новые идеи меня волнуют?
* что самое интересное я знаю об этом проекте?
Для этих запросов я буду использовать свой [[Журнал ежедневной работы]] в качестве временного места, разбрасывая около дюжины однострочных строк в бессистемный маркированный список. Очистив голову, напишу обо всем, что покажется интересным. Обычно это приводит к кроличьим норам, которые съедают остаток сеанса. Я добавлю многообещающих отставших в свой почтовый ящик на будущее.
Если эти подсказки не принесут результатов, я используюсь временем [[Пишите о том, что вы читаете]]. Обычно у меня накопилось множество книг и статей, которые я прочитал, но для которых я еще не написал [[Вечнозеленые заметки]]. Если подсказки не кажутся плодотворными в течение нескольких дней подряд, это признак того, что мне нужно встряхнуть ситуацию: мои входные данные недостаточно разнообразны, или я не даю себе подходящего творческого пространства, или мне может потребоваться переоценка моих проектов. Мой почтовый ящик для писем всегда должен казаться рогом изобилия.
Я делаю 5-минутные перерывы, чтобы встать и двигаться каждые 35 минут, но даже с такими перерывами я обычно не могу продолжать эту практику дольше двух часов. Иногда я могу провести еще один сеанс позже в тот же день.
Мы не можем измерить количество виджетов, созданных в процессе [[Интеллектуальный труд]]. Вместо этого мы можем измерять результаты трейлинг-индикатора, такие как OKR, но это отдельно от самой работы.
!!!References
Drucker, P. F. (1999). Knowledge-Worker Productivity: The Biggest Challenge. California Management Review, 41(2), 17.
Работа над производительностью умственного работника только началась. Что касается фактической работы по производительности труда работников умственного труда, мы будем в 2000 году примерно там, где мы были в 1900 году с точки зрения производительности физического труда.
Matuschak, A. (2019, December). Taking knowledge work seriously. Presented at the Stripe Convergence, San Francisco.
Если вы хотите овладеть новым навыком, например научиться рисовать , вы можете прочитать несколько книг, взять несколько уроков, а затем повторять основные процедуры, которые вы видели, до тех пор, пока они не почувствуют себя комфортно. Этот подход часто быстро выходит на плато, когда вы достигаете базового уровня автоматизма. Эрикссон и Пул (2016) называют это «{наивной практикой}»: ученик {многократно выполняет действие}, ожидая, что {одно только повторение} {улучшит производительность} (стр. 14), напротив, [[Развитие навыков требует непростого гомеостаза]] и [[Плато производительности часто требует изменения подхода к преодолению]].
Наивный подход к практике лучше всего можно описать в этом разговоре между учителем музыки и его учеником: «Как вы это практиковали?» "{Я не знаю. Я просто играл в нее.} »(Оар, 2012).
Эмпирические примеры:
В серии экспериментов по [[Объем рабочей памяти]] Чейз и Эрикссон сообщают, что наивные стратегии испытуемых - репетиция последовательности цифр вслух - постоянно приводят к плато (1981, стр. 146).
Это может частично объяснять, что [[Практика написания заметок у людей, как правило, неэффективна]]: как ни странно, большинство людей, казалось, тратили неэффективные усилия на размышления о практике ведения заметок в школе, достигли уровня автоматизма, а затем перестали думать об этом снова. Это также может объяснить, что аспекты [[Основные практики в работе с знаниями часто являются ad-hoc]] (например, [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].
!!!References
Chase, W. G., & Ericsson, A. (1981). Skilled memory. In A. Ericsson (Ed.), Cognitive skills and their acquisition (pp. 141–189). Erlbaum. https://apps.dtic.mil/dtic/tr/fulltext/u2/a114635.pdf
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. Peak - Ericsson and Pool
Oare, S. (2012). Decisions Made in the Practice Room: A Qualitative Study of Middle School Students’ Thought Processes While Practicing. Update: Applications of Research in Music Education, 30(2), 63–70. https://doi.org/10.1177/8755123312437051
Если бы вам пришлось установить одну метрику для использования в качестве ведущего индикатора для себя как работника по знаниям, лучшим, что я знаю, могло бы быть количество [[Вечнозеленые заметки]] , написанных в день.
[[Написание заметок может быть виртуозным навыком]], но [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]], а [[Практика написания заметок у людей, как правило, неэффективна]].
- [[Написание вечнозеленых заметок помогает накапливать понимание]]
* [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]]
* Написание заметок помогает накапливаться: эти заметки являются топливом для [[Исполняемая стратегия письма]], особенно если вы [[Создавайте спекулятивные контуры во время написания заметки]].
Предупреждение: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]
## Ссылки
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
Если письмо является средством исследования и изучения не что иное, как исследование, то нет причин не работать так, как будто ничто другое не имеет значения, кроме письма.
Сосредоточение внимания на написании, как будто ничто другое не имеет значения, не обязательно означает, что вы должны делать все остальное менее хорошо, но это, безусловно, заставляет вас делать все остальное по-другому. Наличие четкой, ощутимой цели при посещении лекции, дискуссии или семинара сделает вас более вовлеченными и заострите свою концентрацию внимания.
Даже если вы решите никогда не писать ни одной строки рукописи, вы улучшите свои навыки чтения, мышления и других интеллектуалов, просто делая все *так, как будто ничего не имеет значения, кроме письма*.
Большая часть повседневного мышления, вовлеченного в творческую деятельность, просто теряется, как песчаные замки в прилив. Эфемерность на самом деле может быть полезна в низкоточной мысли, но во многих случаях это просто случайное свойство. Мы должны делать свое серьезное мышление в виде [[Вечнозеленые заметки]], чтобы мышление накапливалось.
[[Скачки в понимании возникают из предыдущих мыслей]]. Так где же происходит эта мысль? Это может произойти в вашей голове или в серии мимолетных эскизов на страницах вашей тетради, но [работа знаний должна аккретировать](https://notes.andymatuschak.org/z6UDDkom8Aifg6mLdjT1sPtbMBweCmpyTwmJT) , и эти механизмы ужасно теряются.
Рассмотрим какой-то гипотетический скачок понимания, который вы хотели бы иметь возможность сделать. Чтобы совершить этот скачок, вам, как правило, нужно развивать много независимых, частично сформированных идей одновременно, пока они внезапно не сойдутся во время вдохновения. Если вам нужно повторять более нескольких частей одновременно, вы можете изо всех сил пытаться держать их в голове.
Напротив, поскольку [[Вечнозеленые заметки должны быть атомарными]], они достаточно малы по объему, чтобы вы могли начать и закончить одну ноту менее чем за полчаса (см. [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]]. Тем не менее, каждая заметка, которую вы пишете, представляет собой приращение в вашем мышлении об этой конкретной идее, и каждая заметка обогащает более широкую сеть ссылок ( [[Вечнозеленые заметки должны быть тесно связаны]]. Поскольку это [[Вечнозеленые заметки]] , теперь у вас есть четкое место, чтобы стоять на этой конкретной идее.
Заметки, которые вы пишете, будут взаимодействовать с прочитанными вами материалами ( [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]] и будут создавать основы новых рукописей ( [[Исполняемая стратегия письма]].
И если вы не можете написать хотя бы одну атомную записку о вашей идее, [интервальное повторение может быть полезным инструментом для постепенного развития чернил](https://notes.andymatuschak.org/z7iCjRziX6V6unNWL81yc2dJicpRw2Cpp9MfQ) .
Похожее: [«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»](https://notes.andymatuschak.org/z7kEFe6NfUSgtaDuUjST1oczKKzQQeQWk4Dbc)
# Ссылки
Луманн, Н. (1992). Общение с ящиками. В А. Кизерлинг (ред.) и М. Кун (перевод), *Университет мили: Kleine Schriften*(стр. 53–61). Получено с [http://luhmann.surge.sh/communicating-with-slip-boxes](http://luhmann.surge.sh/communicating-with-slip-boxes)
Естественно, независимость предполагает минимальную степень внутренней сложности. Скольжения требуют несколько лет, чтобы достичь критической массы. До тех пор он функционирует как простой контейнер, из которого мы можем извлечь то, что вкладываем. Это меняется с ростом его размера и сложности. С одной стороны, увеличивается количество подходов и поводов для вопросов. Скольжение становится универсальным инструментом.
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
Важно [[Пишите о том, что вы читаете]], но вместо того, чтобы просто писать о конкретной книге, которую вы читаете, вы можете (и должны) писать свои заметки таким образом, чтобы ваши наблюдения за чтением накапливались с течением времени, когда они взаимодействуют друг с другом и с вашими собственными идеями (см. [[Написание вечнозеленых заметок помогает накапливать понимание]], [[Знания должны срастаться]].
Вот почему мы также пишем [[Вечнозеленые заметки]]: чтобы, если мы столкнемся с книгой, в которой обсуждается концепция, о которой мы уже писали, нас подталкивают интегрировать новые идеи с нашей предыдущей концепцией. Конечно, мы обычно делаем это, когда читаем, но мы ограничены нашей ошибочной памятью о других работах, которые могут быть связаны. Экстернализированная система ведения заметок существенно устраняет это ограничение.
Вот почему отчасти для того, что [[Вечнозеленые заметки должны быть концептуальными]]: чтобы структура наших заметок подталкивала нас замечать отношения между идеями в разных текстах - и в нашей собственной работе (см. [[Вечнозеленые заметки должны быть тесно связаны]], [[Заметки должны вас удивлять и давать insights]].
Заметки, которые вы пишете, также будут создавать основы новых рукописей ([[Исполняемая стратегия письма]]).
Это одна из причин для [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].
Похоже, что большинство людей не воспринимают всерьез навык ведение заметок. Для некоторых это происходит потому, что они видят в нем примитивный инструмент (например, [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]]). У других может возникнуть безразличие к такой практике, потому что они замечают, что [[Практика написания заметок у людей, как правило, неэффективна]].
Но некоторые методы написания заметок намного эффективнее других. Можно стать намного более квалифицированным в написании заметок, и этот навык превращается в ценный результат: [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].
Создавая [[Как писать хорошие подсказки|https://andymatuschak.org/prompts/]] , я обнаружил, что, когда я писал подсказки для текста, мне часто приходилось возвращаться к прозе, чтобы дать конкретные имена ([[Концептуальный дескриптор]]) конкретным идеям. Если я пишу вопрос о какой-то эвристике или аргументе, мне нужен был способ сослаться на эту идею по имени, не повторяя всю идею в подсказке. Эта потребность усугубляется в нетехнических текстах, где формальный язык по теме может не существовать (или может быть неуместным).
Связанный комментарий Дэвида Чепмена:
Возможно, вам будет интересно услышать (или, во всяком случае, мне интересно узнать!), Что написание подсказок вынуждает меня пересматривать мой текст, и это явно улучшает его. Я должен четко обозначить ключевые моменты там, где я иногда оставлял их на усмотрение читателя.
::TODO
Это не тоже самое? [[Написание вечнозеленых заметок помогает накапливать понимание]]
Связано: [[Эффект генерации]], [[Детальное кодирование]]
!!!Рекомендации
Нильсен, М. (2019, январь). Использование систем повторения с интервалом, чтобы увидеть математику насквозь. http://cognitivemedium.com/srs-mat Mathematics
Матушак А. и Нильсен М. (2019 г., 0 октября). [[Как мы можем разработать преобразующие инструменты мышления?|https://numinous.productions/ttft]]
::Один из нас ранее утверждал, что в системах памяти с интервалом повторения пользователям необходимо создавать свои собственные карты. Аргументация носит неформальный характер: пользователи часто сообщают о неудовлетворенности и плохих результатах при работе с карточками, созданными другими. Причина, по-видимому, в том, что изготовление карточек само по себе является важным актом понимания и помогает закрепить материал в памяти. Когда пользователи работают с картами, созданными другими, они теряют эти преимущества.
Quantum Country нарушает этот принцип, поскольку карты не делают пользователи. Это нарушение было серьезной проблемой, когда мы начали работать над Quantum Country.. Однако предварительные отзывы пользователей говорят о том, что все прошло адекватно. Возможное объяснение состоит в том, что, как отмечалось выше, создание хороших карт - это сложный навык для освоения, и поэтому то, что пользователи теряют, не создавая свои собственные карты, компенсируется использованием карт гораздо более высокого качества, чем они могли бы иметь. сделано своими силами. В будущем стоит углубиться в этот вопрос, чтобы понять его, выходя за рамки неформальных моделей, и изучить способы получения преимуществ от активного создания карт.
References
Nielsen, M. (2018). [[Augmenting Long-term Memory|http://augmentingcognition.com/ltm.html]]
::Сам процесс создания карты Anki почти всегда является формой подробного кодирования. Это заставляет вас обдумывать альтернативные формы вопроса, обдумывать наилучшие возможные ответы и так далее. Я считаю, что это верно даже для самых элементарных карт. И это, безусловно, станет правдой, если вы создадите более сложные карты, карты, связывающие основной факт, который нужно запомнить, с другими идеями (например, ссылка Telstar-ASCII), постепенно создавая сеть тесно взаимосвязанных идей.
::TODO Довольно условно - просто мое грубое, довольно неосведомленное чутье; я не узнал достаточно, чтобы проверить это
До 20 века наука управления фокусировалась на проблемах индустриальной экономики. Он решал такие проблемы, как производство большего количества виджетов, отслеживая количество времени, затрачиваемого каждым работником на каждую задачу, а затем определяя эффективность. Рабочие были взаимозаменяемыми и неспециализированными, поэтому акцент делался на решении проблем на уровне фирмы и менеджера.
Когда экономический результат сместился к [[Интеллектуальный труд]], сфера деятельности по-прежнему была сосредоточена на менеджере и фирме, поскольку отдельные работники никогда не имели такого большого значения. Это может быть одной из причин, почему [[Основные практики в работе с знаниями часто являются ad-hoc]], и [[Мы не знаем, как измерить продуктивность работников умственного труда]].
Когда одна и та же стопка бумаг лежит у меня на столе в течение месяца, я перестаю их замечать. [[Периферийное зрение]] направляет внимание только тогда, когда {оно несколько постоянно меняется}. Когда {остается прежним}, это может фактически снизить чувствительность наблюдателя.
Большая часть образовательной деятельности в первую очередь ориентирована на результаты обучения, что подрывает их собственные цели ([[Цели обучения часто подрывают себя]], в отличие от [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).
Но не во всех номинально-образовательных средах есть эта проблема. Например, студенты-медики, посещающие врачебные кабинеты, платят за обучение и много учатся, но основная цель такого взаимодействия - забота о пациентах . Даже когда их слушатели делают то, что они называют «обучением» - задают вопросы и излагают базовую теорию, - основная цель взаимодействия - обеспечение отличного ухода за пациентами как в тот момент, так и в ближайшие месяцы, когда студент-медик берет на себя все большую ответственность.
Обычно трудно переориентировать существовавшую ранее «образовательную» деятельность на внутренне значимую цель. Культурные ценности и рамки являются серьезными якорями.
https://notes.andymatuschak.org/z325r7Z7eRaocLjg6ADX4tfzUPWDSaynTCbcQ
Хотя [[§Система интервального повторения]], такая как Anki, в первую очередь предназначена для помощи людям в запоминании фактов, их механизм флэш-карт можно использовать для множества других целей.
* Необычные предметы для напоминаний:
** Что-то умное или красивое сделал писатель или художник: почему это сработало? Что могло заставить их подумать об этом? Как это подействовало на вас?
** Вспышки озарения: какое критическое наблюдение открыло глубокое осознание? В каком контексте?
** Моменты, разрушающие модель: кто-то сказал то, чего вы не ожидали, - это другой взгляд на мир. Что заставило их так сказать? Какая разница между таким видением и вашим собственным?
** Изменения в намерении: что заставило вас понять, что ваше старое намерение не служит вам хорошо? Почему это плохо тебе служило? Какая твоя замена? Какие сложные изменения это означает?
** Неудачи: очень точно, в чем была ваша ошибка? Каковы были непосредственные причины этой ошибки? Каковы были причины этих причин? Когда эти причины присутствуют в будущем, какие стратегии вы собираетесь использовать для достижения другого результата?
** Трудные прошлые решения: какие ключевые факторы помогли вам сделать звонок? Как вы сформулировали решение? Что вас удивило в ретроспективе? (через MN, 2020-06-31)
** Хорошие рабочие шаблоны (например, в электронной почте или на встречах): какое влияние этот шаблон оказал на то, как вы и другие чувствовали или действовали? Когда это может быть целесообразно (или нет)? Что кажется важным для его успеха / неудачи? В каких типах будущих ситуаций вы собираетесь опробовать эту схему? (через MN, 2020-06-31)
** Запоминание цитат: используйте промежуточные подсказки, которые, например, представляют только первую букву каждого слова ([[через Divia Eden|https://twitter.com/diviacaroline/status/1278512057550172160]])
* Более широкие типы когнитивных задач: системы памяти с интервальным повторением могут использоваться для подсказки приложения, синтеза и создания
* Упражнения на визуализацию для закрепления счастливых воспоминаний; например, спереди: «визуализируйте свою поездку в Трапани с Сарой»; сзади: фото (через Тейлора Рогальски , 2020-06-11)
См. также Ника Каммарата с пиковыми впечатлениями: https://twitter.com/nickcammarata/status/1315129231102234625?s=20
; Эстетическая растопка; например, спереди: интересное изображение, которое вы нашли во время просмотра веб-страниц, возможно, без подсказки типа «что вы находите в этом поразительного?»; назад: ничего (см. также Кавара , в котором основное внимание уделяется этому типу подсказок)
* [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]
* Легкие, необязательные, несрочные задачи: «Вы смотрели, кто недавно ссылался на ваш блог? может там что-то интересное: (ссылка) »
* Подвергать себя мыслям, от которых вы вздрагиваете: например, «Проект X провалился, потому что я знал, что Сал выступал против него с самого начала, и я просто позволил этому гноиться, вместо того, чтобы заняться этим». Здесь может быть эффективным использование закрывающих удалений, чтобы заставить себя завершить наблюдение. ( через Divia Eden, 01.07.2020)
* Помимо простого формата карточек, общий механизм повторения с интервалом может быть применен ко многим областям; см. [[Системы интервального повторения могут использоваться для программирования внимания]].
Одна из причин, по которой [[Практика написания заметок у людей, как правило, неэффективна]], может заключаться в том, что системы заметок обычно не дают обратной связи.
Если кто-то начнет практику повторения с интервалом, он будет получать сильную обратную связь каждый день: если он напишет плохой вопрос, он будет беспокоить его немедленно и регулярно после этого; они почувствуют (до некоторой степени) их растущее удержание данной темы.
Напротив, при ведении заметок обратная связь очень запаздывает: обычно, когда вы пишете заметку, вы можете не видеть ее снова в течение нескольких недель. Отзывы также неоднозначны: если заметка помогает вам понять (или не помогает), это обычно не будет особенно очевидным.
Как правило, люди не имеют четкого представления о том, какой должна быть заметка, поэтому непонятно, когда данная заметка не соответствует этому стандарту.
[[Вечнозеленые заметки]] предлагают более узкие и более мощные петли обратной связи, потому что вы постоянно пересматриваете и просматриваете прошлые заметки. Немного легче заметить, если предыдущее примечание трудно исправить. [[Исполняемая стратегия письма]] также создает более сильную обратную связь о методах ведения заметок.
!!!Ссылки
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг.
Есть еще одна причина, по которой принятие заметок в основном идет под радаром: мы не испытываем никаких немедленных негативных отзывов, если сделаем это плохо.
[[Умелое чтение, как правило, нелинейно]], но опыт цифрового чтения часто делает быстрое сканирование и обращение к ним более болезненным просто из-за того, что оно медленное. Когда при перелистывании нескольких страниц вперед или назад возникают икоты или пустые экраны, среда заставляет читателей читать менее эффективно.
Хуже того: поскольку [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]], часто приходится выполнять много последовательных операций «перелистывания страниц», чтобы перемещаться между соответствующими отрывками. Если бы вы читали физическую книгу, вы бы засунули палец в одну позицию и перевернули бы промежуточные страницы как блок, но цифровой ридер должен испытывать задержки, которые обычно накапливаются с каждой перевернутой страницей.
[[Умелое чтение, как правило, нелинейно]], но опыт цифрового чтения часто делает быстрое сканирование и обращение к ним более болезненным просто из-за того, что оно медленное. Когда при перелистывании нескольких страниц вперед или назад возникают икоты или пустые экраны, среда заставляет читателей читать менее эффективно.
Хуже того: поскольку [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]], часто приходится выполнять много последовательных операций «перелистывания страниц», чтобы перемещаться между соответствующими отрывками. Если бы вы читали физическую книгу, вы бы засунули палец в одну позицию и перевернули бы промежуточные страницы как блок, но цифровой ридер должен испытывать задержки, которые обычно накапливаются с каждой перевернутой страницей.
Новые участники в [[Благоприятная (стимулирующая) среда]] могут не сразу сделать то, что она позволяет. Типичным решением является абстрактный вводный опыт: пояснительные руководства, занятия по адаптации, фоновые чтения и т. д. Эти поддержки могут помочь новым участникам в конечном итоге получить доступ к тому, что позволяет среда, но они не идеальны: [[Благоприятная среда сосредоточена на том, что включено]].
Часто можно улучшить дизайн среды для поддержки более непосредственного участия (например, с помощью [[Когнитивный каркас]]. Один мощный подход к проектированию: [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]
Одна из основных проблем для [[Инструменты для размышления]] заключается в том, что их основные идеи, как правило, дорого производить, но дешево копировать. Например, Adobe разработала бесчисленное количество взаимодействий и метафор в Photoshop и Illustrator, которые Sketch и Figma могли копировать и улучшать, не тратя годы на исследования и разработки. Apple потратила годы на разработку современных мультисенсорных интерфейсов; Google скопировал их менее чем за год и мало пострадал в последовавших судебных исках. Новая идея интерфейса - это грубо говоря, [[Общественное благо]]: они не исключаются ([[Исключаемость]]) по модулю относительно меньших затрат конкурента на дублирование идеи. К счастью (для общества), такие идеи неконкурентоспособны ([[Соперничество]]) или даже антиконкурентны.
Но присвоение конкурентами новых идей интерфейса действительно препятствует производственным усилиям. Поскольку любой может бесплатно использовать начальные вложения в интерфейсы, компаниям трудно оправдать большие затраты на исследования и разработки в этой сфере.
Adobe, конечно, удается отстоять свою позицию, но не из-за своих идей интерфейса. Они разработали тщательно продуманную маркетинговую стратегию. Понятно, что они не вкладывают столько средств в новые идеи интерфейса, сколько, скажем, в продажи и обучение.
Но: [[Видеоигры могут извлечь выгоду из новых идей пользовательского интерфейса]].
!!!References
Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought? https://numinous.productions/ttft
Образовательная среда обычно состоит из действий с известными результатами, включающими известный набор концепций или идей. Ожидается, что учащиеся реконструируют или заново выведут эти концепции для себя в процессе обучения. Но даже в среде «изучения открытий» и курсов по интерпретации гуманитарных наук занятия, как правило, не предназначены для содействия оригинальному мышлению.
Если стремление образовательной среды позволяет учащимся заниматься независимой, личностно значимой интеллектуальной деятельностью, это наблюдение противоречит. Как можно ожидать, что можно подготовить студентов к осмыслению оригинальных мыслей с помощью действий, которые никогда не требуют от них обдумывания оригинальных мыслей - что, по сути, часто препятствует оригинальным мыслям?
Это, по-видимому, является важным ограничением использования [[Реализованный опыт]] для обучения.
См. также: [[Нелл не мыслит оригинально внутри Primer]]
Системы, отображающие обратные ссылки на узел, допускают новое поведение: вы можете определить новый узел экстенсивно (а не намеренно), просто связавшись с ним из многих других узлов - даже до того, как он будет иметь какое-либо содержимое.
Я впервые заметил это в поведении Конора Уайт-Салливана с Роамом. Он писал о наших разговорах в нескольких заметках по всей своей системе (эфемерные ежедневные журналы, списки функций и т.д.). При этом он писал определенные словосочетания (например, мое имя) в качестве ссылок. У этих узлов не было собственного контента, но, когда он делал это в течение нескольких дней, они начали вырабатывать неявное определение в его системе, выраженное через обратные ссылки.
Для этого эффекта требуются [[Контекстные обратные ссылки]]: простой список обратных ссылок неявно определяет узел очень эффективно. Вы должны видеть контекст вокруг обратной ссылки, чтобы понимать, что подразумевается.
Я считаю, что это особенно полезно для терминов искусства и всех видов собственных существительных.
Я также экспериментирую с этой техникой в своих кулинарных заметках; см. например [[Cabbage]].
Поскольку [[Игры эффективно развивают навыки игроков]], люди представляют, что можно сделать жизнеспособную [[Обучающие игры]], которая «обучает» конкретным навыкам.
Обычно это не работает по нескольким структурным причинам:
Разработчики образовательных игр обычно не видят, что эмпирически геймдизайн - это все о [[«Найди развлечение»]] и [[Развитие навыков в играх подчинено другим внутренне значимым целям]] и [[Большинство игр не являются благоприятной средой]]. Это не случайность: [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
Разработчики образовательных игр часто думают: *моя*мотивация будет заключаться в том, чтобы «помочь детям добиться успеха», но мотивация *детей*будет «играть в забавную игру». Это тоже не работает: [[Авторская среда значительно окрашена мотивами авторов]].
Этой ловушки можно избежать, но только не *пытаясь*сделать «образовательную игру». [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]
Per Bret:
Дизайн-деятельность, в которой концепции несут вес, но сосредоточены на том, чтобы сделать деятельность по своей сути интересной и радостной как для дизайнера, так и для игрока. Спросите себя: «Люблю ли я играть с этим сам?» И поверьте, что игроки, проводя часы с этими концепциями «в своих руках», получат знакомство, затем беглость, затем понимание, что трудно спроектировать явно.
Еще одно ограничение: [[Мощные благоприятные среды сосредоточены на использовании экспертами]]. Разработчики образовательных игр обычно сосредоточены на разработке представлений для новичков, но это часто создает пропасть между концепциями, которые игроки изучают, и концепциями, которые используют эксперты (например, SimCity), и это приводит к представлениям с низкими потолками на их мощности.
Концептуально, основной механизм, который дизайнеры образовательных игр пытаются использовать, - это [[Реализованный опыт]]. Они пытаются спроектировать игровые действия таким образом, чтобы естественное участие в игровой среде давало опыт понимания. По крайней мере, инстинктивно, основная мотивация этого обходного подхода к учебному дизайну здесь заключается в том, что [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]]. Другими словами, они надеются «заставить детей любить учиться!»
В большинстве игр используется этот механизм ([[Игры эффективно развивают навыки игроков]]), но за пределами жанра образовательных игр [[Развитие навыков в играх подчинено другим внутренне значимым целям]].
Опыт в образовательных играх редко кажется разыгранным. Рука «учителя» обычно бывает слишком тяжелой; игроки чувствуют себя беспомощными крысами в чужом лабиринте. [[Реализованный опыт требует причинно-следственной связи, ориентированной на участника]].
Даже когда события кажутся разыгранными (например, в Oregon Trail), они не дают значимого успеха в создании благоприятных условий для игроков: [[Обучающие игры - это обреченный подход к созданию благоприятной среды]]. Но они могут вызвать энтузиазм в отношении предметной области или начать прививать её ценности - слабые формы [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]].
Чтобы успешно изучить что-то новое, люди должны оценивать свое понимание, отслеживать путаницу или несоответствие, планировать дальнейшие действия на основе этих наблюдений и координировать выполнение этого плана. Это часто подпадает под категорию «метапознания», хотя его феномены предпочитают разделить.
В классе или в профессиональной среде эксперт может выполнять некоторые из этих задач для учащегося ([[Метакогнитивная поддержка как как когнитивная опора]]), но когда учащийся сам по себе, эти метакогнитивные действия могут быть утомительными или недоступными.
К сожалению, большинство пояснительных СМИ заставляют участников запускать собственные циклы обратной связи.
Объем рабочей памяти человека - это теоретическое максимальное количество элементов ([[«Чанки» в человеческом познании]]), которые он может запоминать одновременно, не привязывая их к долговременной памяти.
::TODO: здесь я объединяю «непосредственную память» и «рабочую память», не понимая полностью взаимосвязи. Некоторые исследователи, кажется, трактуют эти термины как синонимы, в то время как другие (Conway, 2005, стр. 779) проводят намеренное различие, которое я еще не усвоил::
Это не точно измеримая величина: определение элемента нечеткое, а охват предметов несколько различается в зависимости от контекста и типа элемента. Обычно экспериментаторы говорят о более конкретном интервале рабочей памяти, таком как «интервал чтения», который относится к задаче, в которой {испытуемые читают последовательность предложений и пытаются запомнить последнее слово в каждом} (см. Обзор типов задач, Conway и др., 2005).
Хотя ценность зависит от задачи и контекста, она кажется на удивление последовательной. Среди когнитивных психологов ведутся серьезные споры о среднем значении. Экспериментаторы начала-середины 20-го века (например, Crannell and Parrish, 1957) оценивают значение около 5-7, но более поздние экспериментаторы предполагают (например, Cowan, 2001), что это значение ближе к {4} и что более высокие значения Указанные субъекты тонко перекодируют стимулы в более крупные фрагменты (см.[[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]]).
Связанный: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].
!!!References
Conway, A. R. A., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005). Working memory span tasks: A methodological review and user’s guide. Psychonomic Bulletin & Review, 12(5), 769–786. https://doi.org/10.3758/BF03196772
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114. https://doi.org/10.1017/S0140525X01003922
Crannell, C. W., & Parrish, J. M. (1957). A Comparison of Immediate Memory Span for Digits, Letters, and Words. The Journal of Psychology, 44(2), 319–327. https://doi.org/10.1080/00223980.1957.9713089
Букв алфавита более чем в два раза больше, чем числовых цифр, поэтому вы можете ожидать, что мы сможем запомнить строки цифр примерно в два раза больше букв. Но на самом деле типичный [[Объем рабочей памяти]] - это {шесть} букв и около {семь} цифр (например, Крэннелл и Пэре, 1957).
См.: [[«Чанки» в человеческом познании]])
!!!References
Crannell, C. W., & Parrish, J. M. (1957). A Comparison of Immediate Memory Span for Digits, Letters, and Words. The Journal of Psychology, 44(2), 319–327. https://doi.org/10.1080/00223980.1957.9713089
Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. https://doi.org/10.1037/h0043158 Miller - The magical number seven, plus or minus two
Если вы были новичками в Photoshop, и я сразу представил весь его интерфейс, вам может быть трудно сделать первый шаг. Но вы могли бы чувствовать себя более комфортно, если бы начали в «приветственном» рабочем пространстве с большей части панелей и инструментов скрытыми. Тогда вы можете раскрыть каждую часть интерфейса, как обнаружили, что вам нужно, или в ответ на ваше любопытство к чему-то.
Аналогичным образом, при объяснении новой концепции часто полезно начать с ограниченной версии проблемы. Например, объясняя, как сделать и сбалансировать уксус, вы можете изначально сосредоточиться на одной паре масло/кислота.
В видеоиграх игроки часто начинают с небольшого набора способностей или в среде, где некоторые типы проблем никогда не появляются. Сначала это делает игру более жизнеспособной.
Ограничения являются одним из способов построения мелкозернистых прогрессий задач (см. [[Детализированная последовательность задач как когнитивная опора]]), но их не нужно использовать таким образом. Например, начинающий фотограф может конструктивно провести целый год на съемку с фиксированной диафрагмой, фокусным расстоянием и ISO, регулируя только выдержку.
[[§Система интервального повторения]] чрезвычайно эффективны для запоминания. Фактически, они настолько эффективны, что, как только кто-то усвоит надежную привычку повторения с интервалом, «пропускная способность» системы, как правило, ограничивается тем, сколько хороших подсказок они могут написать, а не тем, сколько материала они могут усвоить.
[[Трудно написать хорошие подсказки для интервального повторения]]. Очевидное решение - объединить подсказки, как это делает [[Quizlet]] и другие, но изучение подсказок с интервалом повторения другого человека обычно неэффективно . [[Мнемоническая среда]] является одним общим решением: [[Мнемоническая среда может помочь в написании подсказок с помощью подсказок, предоставленных автором]] .
Например, я обнаружил, что могу обрабатывать около 40 новых запросов в день, сохраняя при этом разумную продолжительность сеансов. И если я провожу час или два за чтением в день, я, вероятно, израсходовал достаточно материала, чтобы получить 40 подсказок. Но написание 40 подсказок добавит 30-60 минут напряженной работы к обычным сеансам чтения, поэтому я могу написать только несколько. В некотором смысле это могло бы быть лучше: возможно, мне не следует продолжать заниматься материалом, о котором я не слишком забочусь, чтобы писать подсказки. Но мне кажется, что мы не находимся на границе эффективности. Есть материал, для которого я бы сам не стал писать подсказки, но для которого мне было бы полезно просмотреть подсказки. И процесс можно было бы сделать менее трудоемким для материала, который я бы подсказал ([[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]]).
В общем, решение этой проблемы может быть практической разницей между запоминанием всего интересного, что я читал, и запоминанием 10% самых интересных вещей, которые я читал. Если бы я действительно добавлял 40 подсказок в свою коллекцию каждый день, это было бы почти 15 тысяч предметов в год! Посмотрите, [Какова максимальная скорость использования эффективной системы памяти с интервальными повторениями?]]
Предварительно я обнаружил, что написание подсказок в контексте моих собственных заметок менее трудоемко; типичное число, которое я пишу по теме, в этом контексте выше, чем при обучении с использованием одной только системы памяти. (см . [[Мнемоническая среда может быть расширена до личных заметок]]).
Многие статьи опубликованы в этом направлении. Собираем фаворитов:
Psychological Theory Matters in the Big Data Era. In M. N. Jones (Ed.), Big data in cognitive science (pp. 34–64).
Во многих областях эксперты становятся экспертами, в основном, за счет развития более сложных ментальных представлений ([[Ментальные представления, после Ericsson and Pool]]), что равносильно увеличению размера их ментальных фрагментов ([[«Чанки» в человеческом познании]]). Это увеличивает их способность обработки информации ([[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]], [[Перекодирование может увеличить размер чанка]]). Это происходит на практике: [[Хорошая практика кодирует более эффективные схемы перекодирования чанков]].
Что отличает опытных исполнителей от всех остальных, так это качество и количество их мысленных представлений.
(Эрикссон и Пул, 2016 г., стр. 62, цитируется не очень хорошо)
Например, модель, разработанная Саймоном и Гилмартином (1973), предполагает, что шахматные мастера закодировали порядка десятков тысяч фрагментов. (См. также [[Чейз и Саймон - Восприятие в шахматах]]).
[[Работа со знаниями часто требует решения поисковых задач]]. Эрикссон и Пул предполагают, что эффективность экспертного поиска зависит от более сложных схем фрагментов (2016, стр. 70-72). Аргумент не очень убедительный, но поскольку [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]] , это, по-видимому, объясняет превосходную производительность отбраковки и обратной связи.
---
!!!References
"""
Simon, H. A., & Gilmartin, K. (1973). A simulation of memory for chess positions. Cognitive Psychology, 5(1), 29–46. [https://doi.org/10.1016/0010-0285(73)90024-8](https://doi.org/10.1016/0010-0285(73)90024-8)
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
"""
[[Эффективность практики очень чувствительна к дизайну метода]] ; после определенного уровня производительности, эффективности. [[Целенаправленная практика, после Ericsson and Pool]], как правило, требует от опытного тренера знаний о методах практики, а также их надзора и обратной связи. Например, опытный коуч (обычно также или ранее опытный практикующий специалист) будет изобретать новые задачи (на основе своих знаний практических методов) для преодоления слабых мест.
Серьезные студенты могут тратить на практику десятки часов в неделю, но, поскольку индивидуальные занятия обходятся дорого, большая часть этого, вероятно, будет проводиться в одиночку или в группе. Таким образом, ключевая роль опытных коучей состоит в том, чтобы направлять индивидуальную практику студентов: студенты встречаются с тренером один или два раза в неделю на пару часов, и коуч предложит, чем студенту следует потратить оставшиеся 20 часов в эту неделю.
---
"""
Q. В большинстве областей практики, как тренеры влияют на повседневные усилия студентов?
A. Направляя их индивидуальную практическую деятельность между практическими занятиями.
Q. Почему студенты обычно проводят большую часть своего времени на индивидуальной практике, даже если у них есть тренер?
A. Навыки на уровне эксперта требуют многих часов практики, а индивидуальное обучение стоит дорого.
Q. Почему тренеры обычно должны быть бывшими практикующими специалистами?
A. Экспертная фасилитация часто требует изобретения новых методов практики, что требует обширного личного опыта практической работы.
Q. Помимо своих практических знаний в данной области, какие знания опытный коуч привносит в практику студента?
А. Знание методов обучения
"""
---
References
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. Ericsson et al - The Role of Deliberate Practice in the Acquisition of Expert Performance
//*Ad hoc — латинская фраза, означающая «специально для этого», «по особому случаю». Как правило, фраза обозначает способ решения специфической проблемы или задачи, который невозможно приспособить для решения других задач и который не вписывается в общую стратегию решений, составляет некоторое исключение*//
Работники знаний регулярно включают в себя сложные, недостаточно определенные задачи, такие как понимание основ новой отрасли или написание записки по некоторым стратегическим соображениям. Даже когда эти обязанности являются основой их работы, подход информационных работников к этим задачам часто является специализированным - созданным на месте на основе прошлого опыта, инстинктов, афоризмов и прихоти. Эта практика противоположна [[Исполняемая стратегия]].
Этот способ работы в значительной степени зависит как от практики, так и от контекста, поэтому специалистам по знаниям трудно делиться и накапливать знания об этих практиках.
Без постоянной основы для отстаивания, работникам, занимающимся знаниями, трудно оценивать и развивать свою собственную эффективность по сравнению с этими основными задачами. [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]]
Поскольку эти процессы не рассматриваются систематически, работники, занимающиеся знаниями, как правило, не структурируют результаты этих задач так, чтобы со временем они накапливались во что-то более ценное ([[Знания должны срастаться]]).
Было интересно сравнить точность читателей по вопросам Quantum Country с точностью нескольких опубликованных на данный момент нетехнических мнемонических эссе. В Quantum Country 109/112 (97%) вопросов имеют точность в эссе> 50%; 97/112 (86%) имеют> 75%.
Но другие эссе имеют гораздо более низкие показатели точности (точность 50 +%, точность 75 +%):
* Я, Как писать хорошие подсказки : 83%, 33%
* Баклажан, [[Карты, территория и метарациональность|https://metarationality.com/maps-and-territory]] : 86%, 50%
* [[Нинтил, был ли Планк прав? Влияние старения на продуктивность ученых|https://nintil.com/age-and-science/]] : 90%, 77%
(мне, вероятно, следует просто визуализировать эти распределения - это трудно прочитать)
Я отмечаю, что в курсе Мэтта Клэнси по микроэкономике с использованием орбиты распределение точности вопросов ближе к квантовым странам, чем к этим нетехническим эссе.
Режимы отказа также хуже: худшие вопросы QC забываются примерно в половине случаев; худшие вопросы этих эссе забываются в 70% случаев.
Вероятно, это одно из количественных отражений [[Мнемоническая среда]], формулировок, [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]]
Вероятно, мы можем многому научиться, пытаясь пересмотреть все эти подсказки так, чтобы они почти все превышали 50%.
Подписки на RSS, информационные бюллетени электронной почты и т. Д. Легко рассматривать как взаимозаменяемые с почтовым ящиком для чтения, но они должны быть четко разделены. (см. [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]])
[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]]. То есть важно, чтобы все добавленное было либо прочитано, либо удалено, чтобы, если ссылка кажется интересной, вы могли добавить ее в этот список с уверенностью, что вернетесь к ней позже. Один из эффективных способов обеспечить это свойство - //добавить все самостоятельно//.
Если вы автоматически импортируете контент, то, когда вы сядете читать, вы увидите много контента, к которому у вас нет непосредственной связи. Этот материал будет перемежаться с содержанием, которое вы намеренно добавили, потому что у вас была сильная эмоциональная связь, что ослабит последнее.
Если вы автоматически импортируете контент, почтовый ящик для чтения может периодически становиться пугающе длинным. Это мешает вам открывать его, что делает его менее надежным.
Если вы автоматически импортируете контент, очистка почтового ящика для чтения становится дороже. Чтобы решить, выбросить ли эти предметы в корзину или внимательно прочитать, вы должны сначала понять, что они собой представляют. Напротив, если вы добавили элемент вручную, вы обычно уже имеете некоторое представление о том, что это такое, или имеете некоторый контекст, который что-то указывает на его ценность. Переключение назад и вперед между оценкой элементов для чтения и их фактическим чтением утомляет.
Если вы добавите контент самостоятельно, вы создадите собственное противодействие: вы будете иметь некоторое представление о том, насколько велик ваш почтовый ящик для чтения, и поэтому вы можете дважды подумать, чтобы добавить что-то сомнительное.
---
!!!References
[[Note-Taking when Reading the Web and RSS • Zettelkasten Method|https://zettelkasten.de/posts/reading-web-rss-note-taking/]]
Сеть полна шума, как и эта часть сети, на которую я подписался. Мне нужно найти какой-нибудь сигнал. Это означает, что я должен решить, о чем я хочу знать, а что нельзя.
Задачи, описанные в разделе [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], подтолкнув читателей к использованию того, что они узнали, для получения ответа. Эти подсказки не будут выполнять свою работу, если читатели могут просто запомнить ответы: тогда они станут подсказками для отзыва. Наше простое решение - [[Запросы приложения должны изменяться при повторении]].
"""
Q. Почему не следует извлекать ответы на запросы приложений на мнемоническом носителе из памяти?
A. Читатели должны использовать то, чему они научились, чтобы дать ответ, а не черпать ответ по памяти.
"""
Связи между материалами в информационной системе (например, [[Вечнозеленые заметки должны быть тесно связаны]]) могут быть мелкозернистыми (например, цитата в середине предложения бумаги) или крупнозернистыми (например, раздел «см. также»).
Как правило, лучше создавать мелкозернистые ассоциации. Например, вместо того, чтобы оценивать перемешанный список статей, связанных с читаемой вами документом, более полезно видеть, что я заметил, что статья X относится к пункту N.
Это особенно верно, когда ссылки двунаправленны, так как вам понадобится помощь, чтобы понять, почему «обратные» отношения имеют смысл.
* [[Мощные инновации часто сосредоточены на создании новых парадигм, а не на решении проблем текущего контекста]]
* [[Insight через создание]]
* [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]
* [[Insight через создание самого начала предпочитает бриколаж, а не долгий процесс дизайна]]
* [[Написание вечнозеленых заметок помогает накапливать понимание]]
* [[Мозговой штурм часто может заменить недостающие системы накопления insights]]
Насколько мне известно, ни одна программа для чтения PDF или EPUB не позволяет читателям просматривать несколько страниц одновременно. Если вы хотите просмотреть часть библиографии, которая соответствует главе, которую вы читаете, вам нужно будет пролистывать ее вперед и назад. [[LiquidText]] - единственное известное мне исключение для массового рынка.
Помимо прочего, это усугубляет ситуацию. [[Физическое вырезание и вставка - это параллельный акт, включающий неформальные промежуточные состояния]].
Связано: [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]].
Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press.
Design Unbound утверждает, что современные потребности вышли за рамки традиционных систем проектирования, в которых могут быть известные требования, понятные контексты и системы доставки. Современные контексты - это «белая вода»: требования постоянно меняются; системы действуют в мире, но также и в мире, непрерывно изменяя его; Объекты дизайна часто представляют собой сети людей и систем в той же мере, в какой они являются объектами или механизмами.
* [[Системы действия, после ApJ и JSB]]
* [[Великая творческая работа обычно является продуктом одного человека]].
** В противоречии с утверждениями книги: традиционные методы проектирования не могут создавать системы, требующие глубокого понимания предмета.
См. также [[Желательные трудности, после Бьорк]]
!!!References
Reder, L., & Klatzky, R. L. (1994). Transfer: Training for performance. In D. Druckman & R. A. Bjork (Eds.), Learning, Remembering, Believing: Enhancing Human Performance (pp. 25–56). National Academies Press. https://doi.org/10.17226/2303
[[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]]. Но нам не нужно полагаться на «внутренний» размер фрагмента стимула. Можно увеличить эффективный размер фрагментов стимулов, перекодировав их, то есть мысленно перегруппировав их в блоки, представляющие более крупные паттерны. Эти схемы блоков также называются [[Ментальные представления, после Ericsson and Pool]].
Например, при попытке запомнить последовательность двоичных цифр можно вместо этого запомнить их как октеты (например, 010 = 2, 101 = 5 и т. д.), Что примерно утроит вашу способность (Miller, 1956). Чейз и Эрикссон (1982) использовали эту технику для увеличения диапазона цифр студента до 80 цифр посредством иерархического перекодированная в блоки из 4 десятичных цифр.
Этот процесс важен не только потому, что он помогает нам запоминать полезную информацию, но и потому, что он, вероятно, является ключом к тому, как кто-либо обрабатывает любой сложный материал (в частности, [[Опыт требует построения сложных схем перекодирования чанков]]). Пианист сначала читает отдельные ноты (C, E, G - ах, аккорд C!), Но позже видит эту форму как отдельный аккорд (ах, трезвучие до мажор). При первом подходе невозможно читать музыку любой реальной сложности с листа.
Эти паттерны (например, форма большой триады) можно использовать как «фрагменты» только после того, как они сохранены в долговременной памяти.
[[Чейз и Саймон - Восприятие в шахматах]], предполагающих, что шахматные мастера используют блоки большего размера (и, возможно, иерархические конфигурации блоков).
Похожее: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].
!!!References
Чейз, У. Г. и Эрикссон, К. А. (1982). Навыки и рабочая память. В Г. Х. Бауэр (ред.), Психология обучения и мотивации (Том 16, стр. 1–58). Академическая пресса. https://doi.org/10.1016/S0079-7421(08)60546-0](https://doi.org/10.1016/S0079-7421(08)60546-0)
Миллер, Дж. А. (1956). Магическое число семь, плюс или минус два: Некоторые ограничения нашей способности обрабатывать информацию. Психологический обзор, 63(2), 81–97. [https://doi.org/10.1037/h0043158 ](https://doi.org/10.1037/h0043158) [[Миллер - Магическое число семь, плюс или минус два]]
Мое физическое рабочее пространство полно тонких подсказок. Книги, которые я прочитал или купил совсем недавно, разложены. Бумаги, которые я скопил, лежат стопками на моем столе, очень грубо разложенные по отношению друг к другу. Я замечаю сломанную дверь каждый раз, когда прохожу мимо нее. Эти сигналы вместе дают мне своего рода «периферийное зрение»: когда я делаю что-то одно, мне легко плавно замечать другие близлежащие вещи. В любом случае, пока периферическое зрение достаточно динамично - [[Неизменяющееся периферийное зрение снижает чувствительность]].
Программные системы, напротив, часто лишены такого периферийного зрения. (Хотя было несколько попыток; см., например, [[Агенты своевременного получения информации]])
!!!Периферийное зрение может спонтанно побуждать к действию
Цифровые списки задач находятся в специальном приложении. У меня нет естественной причины просматривать содержимое этого приложения. Если мне нужно починить сломанную дверь, я буду периодически напоминать об этой задаче, когда хожу по дому. Но если задачи находятся в основном в цифровом списке задач, мне нужно выработать привычку явно просматривать свой список задач.
!!!Периферийное зрение подчеркивает конкретное
Непрочитанные электронные книги и документы хранятся в какой-то папке или приложении, невидимы, пока я не решу, что «пора читать». Но это путает причину и следствие. Когда я оставляю книги лежать на кофейном столике, я, естественно, замечаю их в моменты восприятия и решаю начать читать, основываясь на своей реакции на конкретную книгу. В этих случаях мотивация к чтению бумажных книг проистекает из моего реального интереса к конкретной работе; Мотивация к чтению цифровых книг проистекает из моего абстрактного интереса к привычке к чтению.
Это большая проблема с системой, описанной в разделе [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]].
!!!Периферийное зрение предлагает контекст
Если я размечу физическую книгу, а затем пролистываю, чтобы увидеть свои заметки на полях, я всегда вижу их в контексте окружающего текста. Напротив, списки цифровых аннотаций обычно отображают только выделенный мной текст, удаленный из его контекста. Первичная «единица» в таких системах - это отдельное выделение или примечание, но я так не думаю. Метки на полях имеют нечеткие границы, и я часто думаю о разметке страницы как о единой единице.
[[LiquidText]] - прекрасный контрпример: он усердно работает для отображения аннотаций в контексте.
Все это отчасти объясняет, почему мне нравится среда Studio: постоянное физическое окружение работой очень отличается от необходимости выбирать какой-то элемент работы.
Создатель [[Supermemo]] и популяризатор [[§Система интервального повторения]], и [[Поэтапное чтение]].
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt.
Authors: {Anders Ericsson} and {Robert Pool}
Publication year: {2016}
---
!!!1. Сила целенаправленной практики
* [[Во многих сферах деятельности планка виртуозности стремительно поднялась]]
* [[Наивные подходы к практике: быстрое плато]]
** Напротив, [[Целенаправленная практика, после Ericsson and Pool]] может достичь большего.
** [[Плато производительности часто требует изменения подхода к преодолению]]
!!!2. Использование адаптируемости
* [[Физические и когнитивные способности человека можно удивительно значительно расширить с практикой]].
** Практика зависит от пластичности: [[Практика когнитивных навыков может расширить связанный неврологический потенциал]].
* [[Развитие навыков требует непростого гомеостаза]]
!!! 3. Ментальные представления (чанки)
* Заглавная концепция: [[Ментальные представления, после Ericsson and Pool]]
** Эта монетная система (coinage) основана на «чанках» ([[«Чанки» в человеческом познании]]). См. подробные примечания в [[Миллер - Волшебное число семь, плюс или минус два]].
* Центральное утверждение: [[Опыт требует построения сложных схем перекодирования чанков]].
** (потому что [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]])
** например для подробного обсуждения шахматной экспертизы см. [[Чейз и Саймон - Восприятие в шахматах]].
* Все дело в практике: [[Хорошая практика кодирует более эффективные схемы перекодирования чанков]].
** [[Эффективные схемы чанков обычно кодируют атрибуты, зависящие от домена]]
** Физическая работоспособность экспертов также зависит от сложных умственных представлений (стр. 82-83).
::«… По мере того, как мы искали способы сделать наше сообщение более понятным для читателя, мы придумывали новые способы думать о сознательной практике сами. Исследователи называют такой вид письма «трансформацией знаний»… потому что процесс письма изменяется и дополняет знания, которые писатель имел в начале». (75-76 [[Письменная практика усиливает понимание]], [[Insight через создание]].
!!!4. Золотой стандарт
Эта глава (ну, вся книга, но особенно эта глава) в основном представляет собой популярное резюме [[Эрикссон и др. - Роль преднамеренной практики в приобретении экспертной деятельности]].
* Некоторые виды целенаправленной практики намного эффективнее других. Авторы считают, что наиболее эффективный вид - «осознанная практика».
** Должны быть объективные показатели производительности
** У исполнителей должен быть сильный стимул практиковаться и совершенствоваться (обычно через соревнования).
** Сферы хорошо изучены, навыки стандартизированы и развиваются в течение длительного периода.
** Некоторые исполнители служат тренерами; у них есть мощные методы обучения
*** Новые методы обучения открывают новые уровни достижений и т. д.
* Ключевые примеры:
** музыка (особенно скрипка и фортепиано): см. Ericsson, Tesch-Römer, Krampe 1990 и 1993
*** время одиночной практики во многом определяет производительность
**** в частности, необходимым ингредиентом были тысячи часов практики: «без ярлыков и без« вундеркиндов»
*** даже лучшие ученики считали практику неинтересной и им не нравилась работа, которую они делали для улучшения
**** мотивация возникла из желания повысить производительность
* балет
** аналогично, время одиночной практики во многом определяло производительность
*** «Мы не обнаружили никаких признаков того, что кто-то родился с таким талантом, который позволил бы достичь высших балетных ступеней, не работая так тяжело или упорнее, чем кто-либо другой»
* шахматы
** «Никто не достигает уровня гроссмейстера менее чем за десять лет интенсивного обучения»
* Чтобы стать экспертом в этих областях, требуется помощь инструктора.
* Студенты могут стать вундеркиндами в более молодом возрасте благодаря достижениям в методах обучения.
* Как работает осознанная практика (стр. 97) (см. E, T-R, K ’93)
** студенты встречаются с учителями небольшое количество раз в неделю
** учителя назначают практические занятия
*** для развития этих действий требуется, чтобы кто-то достиг такого уровня производительности, на котором он мог бы развивать эти практические действия и передавать их
*** «Навыки, которые другие люди уже поняли, и для которых созданы эффективные методы обучения».
*** эти действия кодируют теорию о том, что делают опытные исполнители, чтобы преуспеть
** эти практические занятия адаптированы к ZPD
** требует разборчивости для ученика: он должен видеть свой прогресс
** как целенаправленная практика, требует внимания, обратной связи, хороших дополнительных целей, мысленных представлений
** звучит так, как будто бурение (drilling) - это основная часть: «Осознанная практика почти всегда включает в себя создание или изменение ранее приобретенных навыков, сосредоточив внимание на определенных аспектах этих навыков и работая над их конкретным совершенствованием; со временем это поэтапное улучшение в конечном итоге приведет к повышению квалификации специалистов ». (стр.100)
* Авторы утверждают (стр. 98), что нет преднамеренной практики для того, чтобы быть менеджером или инженером, потому что нет объективных критериев превосходной работы. Для меня это не имеет смысла.
* В тех областях, где осознанная практика невозможна, подойдите как можно ближе (стр. 103).
** «Сначала определите опытных исполнителей, затем выясните, что они делают, что делает их такими хорошими, а затем придумайте методы обучения, которые позволят вам это делать».
** Но сложно выделить экспертов в областях без объективных показателей.
** «Если у вас есть психологическая склонность, возможно, стоит поговорить с опытными исполнителями и попытаться понять, как они подходят к задачам и почему. Однако даже при таком подходе вы, вероятно, откроете лишь небольшую часть того, что делает их особенными, потому что часто даже они не знают об этом ».
** Или просто выясните, что отличает их тренировку от других (с. 107, пример с бегуном).
* Хорошие тренеры не просто ставят вам оценки: они понимают ваши мысленные представления и подсказывают, как более эффективно думать о проблеме.
* Правило 10 000 часов - это не правило
** Число варьируется от области к области
** В некотором смысле это нижняя граница: профессиональные пианисты, вероятно, потратят 25 тысяч часов к тому времени, когда они выиграют международные соревнования.
** Это также, безусловно, недостаточный критерий. Во всяком случае, это скорее необходимое условие.
** Но главное, что верно, это то, что для того, чтобы стать экспертом, требуется огромное количество времени и усилий в течение многих лет.
** Вы должны смотреть на время, потраченное на осознанную практику, а не только на время, проведенное в поле.
Письмо - отличный способ оказать давление на ваше мышление: трудно резюмировать то, чего вы не совсем понимаете. Пытаясь объяснить идею, вы, естественно, попробуете несколько обрамлений, конкретизируете ее края и увидите новые связи. Это одна из причин, почему [[Написание вечнозеленых заметок помогает накапливать понимание]] и почему вам следует [[Пишите о том, что вы читаете]].
Дополнительный шаг по созданию ассоциаций и интеграции этого написания с предыдущими заметками (то есть для создания [[Вечнозеленые заметки]], особенно потому, что [[Вечнозеленые заметки должны быть концептуальными]]) делает этот эффект еще более мощным, потому что вы должны понимать, как данная идея соотносится с другими идеями. И когда вы сравниваете новые идеи со старыми, вы можете увидеть, чего не говорится в новой работе.
Эта практика представляет собой грубый вид метакогнитивной поддержки: [[Метакогнитивная поддержка как как когнитивная опора]].
Это наблюдение, по-видимому, верно даже в отношении письма без прозы: [[Многим выдающимся мыслителям нужна письменная поверхность, чтобы думать]].
!!!Рекомендации
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.
Если мы попытаемся обмануть себя здесь и записать непонятные слова, мы обнаружим это на следующем этапе, когда попытаемся превратить наши литературные заметки в постоянные заметки и попытаться связать их с другими.
Написание заметок и их сортировка в почтовом ящике - не что иное, как попытка понять более широкий смысл чего-либо. Слип-бокс заставляет нас задавать множество уточняющих вопросов: что это значит? Как это связано с…? В чем разница между … ? На что это похоже?
Опытные академические читатели обычно читают текст, имея в виду вопросы, и пытаются соотнести его с другими возможными подходами, в то время как неопытные читатели склонны воспринимать вопрос текста и рамки аргументации как данность. Что могут сделать хорошие читатели, так это выявить ограничения конкретного подхода и увидеть то, что не упоминается в тексте.
Написание заметок и их сортировка в почтовом ящике - не что иное, как попытка понять более широкий смысл чего-либо. Слип-бокс заставляет нас задавать множество уточняющих вопросов: что это значит? Как это связано с…? В чем разница между … ? На что это похоже?
Kant, I. (1996). An answer to the question: What is enlightenment? In A. Wood (Ed.), & M. J. Gregor (Trans.), Practical philosophy (pp. 11–22). https://doi.org/10.1017/CBO9780511813306.005 (Original work published 1784)
Просветление - это выход человека из собственного меньшинства. Меньшинство - это неспособность использовать собственное понимание без указания другого. Это меньшинство само по себе, когда его причина не в непонимании, а в отсутствии решимости и смелости использовать его без указаний других. Sapere aude! Не бойтесь быть мудрыми!
Важно написать о том, что вы читаете:
* потому что [[Понимание требует активного вовлечения]]
** и, в частности, [[Письменная практика усиливает понимание]]
** помните: [[Сбор материала для заметок без его переработки - не эффективен]]
* потому что в противном случае вы не будете [[Думайте самостоятельно]]
* потому что [[Знания должны срастаться]], а [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]]
* действительно: [[Большинство людей читают неэффективно]]
Недостаточно просто выделить или написать маргиналии в книгах: нет большого давления, чтобы синтезировать, соединиться или добраться до сути вещей. И они ничего не суммируют с течением времени, когда вы читаете больше. Вместо этого пишите [[Вечнозеленые заметки]] по мере чтения.
С другой стороны, стоит отметить: [[Самые эффективные читатели и мыслители, которых я знаю, не делают заметок при чтении]]. Говоря, по крайней мере, от имени себя, опыт показал, что мне нужна дополнительная поддержка, чтобы эффективно участвовать в том, что я читаю.
Наш широкий подход - это чередующийся цикл:
# Собирайте отрывки, которые кажутся интересными, и мысли, которые появляются во время чтения: [[Как собирать наблюдения во время чтения]]
# Обрабатывайте кластеры этих отрывков и мыслей в долгосрочные заметки: [[Как превратить аннотации чтения в вечнозеленые заметки]]
!!!Ссылки
Luhmann, N. (1992). Communicating with Slip Boxes. In A. Kieserling (Ed.), & M. Kuehn (Trans.), Universität als Milieu: Kleine Schriften (pp. 53–61). Retrieved from http://luhmann.surge.sh/communicating-with-slip-boxes
Невозможно думать без письменной речи; по крайней мере, это невозможно каким-либо сложным или сетевым способом (*anschlußfähig*).
Levy, N. (2013). Neuroethics and the Extended Mind. In J. Illes & B. J. Sahakian (Eds.), Oxford Handbook of Neuroethics (pp. 285–294). Oxford University Press.
Заметки на бумаге или на экране компьютера … не делают современную физику или другие виды интеллектуальных усилий, они делают это *возможным*.
[[Преднамеренная практика]] требует, чтобы вы всегда толкали свою зону комфорта.
Оттачивая данный набор практик, часто можно работать постепенно лучше, но доходность обычно снижается. На тот момент «как правило, решение заключается не в том, чтобы «постараться усерднее», а скорее в том, чтобы попробовать по-другому» (Ericsson & Pool, 2016, стр. 19). (По сравнению с [[Наивные подходы к практике: быстрое плато]])
Следовательно: [[Эффективность практики очень чувствительна к дизайну метода]].
Тренеры могут помочь здесь, так как они в целом знакомы с барьерами, с которыми вы можете столкнуться, и с какими альтернативными подходами могут помочь.
Красиво резюмируя словами: «То, что вас сюда, не доставит вас туда». (Маршалл Голдсмит).
Эмпирические примеры:
* В серии экспериментов над [[Объем рабочей памяти]] Чейз и Эрикссон сообщают, что их объект застрял на плато, пока он не заменил свою первоначальную стратегию репетиции мнемонической техникой (1981, с. 146–147).
Связанные: [[Мощные инновации часто сосредоточены на создании новых парадигм, а не на решении проблем текущего контекста]]
!!!Ссылки
Чейз, У. Г. и Эрикссон, А. (1981). Квалифицированная память. В А. Эрикссон (ред.), Когнитивные навыки и их приобретение (стр. 141–189). Erlbaum. https://apps.dtic.mil/dtic/tr/fulltext/u2/a114635.pdf
Ericsson, A., & Pool, R. (2016).*Пик: Секреты новой науки об экспертизе*(1 издание). Имон Долан/Хоутон Миффлин Харкорт. [[Пик - Ericsson and Pool]]
Хорошее повествование структурирует и упорядочивает ключевые элементы сложной темы, сосредотачивая внимание участников на ограниченных подмножествах идей, чтобы они могли сделать каждый шаг. Это создает [[Когнитивный каркас]]. Справочная статья, которая может предоставлять ту же информацию без каких-либо оснований, может быть более эффективным кратким изложением темы для эксперта, но первый шаг ее понимания может оказаться слишком большим для новичка.
По мере развития повествования в нем выделяются связи между элементами, которые новичку может быть трудно заметить. Это также может напоминать участникам о соответствующих предшествующих материалах, на которые следует опираться. Такие виды поддержки позволяют участнику изначально сосредоточиться на материале объектного уровня, не упуская из виду общую картину. Со временем они найдут свои собственные связи, помимо тех, что указал автор.
Повествования подпитывают эмоциональную вовлеченность, предлагая интерпретацию, возможные последствия и связь с заинтересованным автором. Со временем участник может выстроить собственное эмоциональное вовлечение в тему, но может оказаться полезным и это.
См. также: [[Реализованный опыт усиливает силу повествования]].
[[Традиционные подсказки для интервального повторения - атомизированы]]. Каждая маленькая подсказка должна стоять сама по себе, быть презентабельной в любом порядке в любое время. Но это затрудняет использование подсказок для эффективной передачи идеи, которая сама по себе хорошо структурирована и упорядочена. На практике идеи обычно зависят от других идей, и эмоциональная значимость требует соотнесения этих идей с более широким целым (в отличие от [[Глубокое понимание требует (и является результатом) интенсивной личной связи]]). В этом отношении повествование превосходит его (нарратив как [[Когнитивный каркас]]).
Один важный вывод: [[Изучение подсказок для интервального повторения, созданных другим человеком, обычно - неэффективно]] .
Это наблюдение является одним из основных мотивов мнемонической среды: [[Мнемоническая среда придает нормально-атомизированную структуру подсказкам для интервального повторения]].
Тонкая проблема написания подсказок заключается в том, что подсказка должна четко указывать на то, «что она ищет». Например, в этом приглашении отсутствует сегмент… что там должно быть?
Вопрос: В краткосрочной перспективе ... входы переменные.
Ответ: некоторые
Пробелы Cloze имеют тенденцию усугублять эту проблему, поскольку они должны использовать структуру синтаксиса, чтобы предложить форму ответа. (см. также [[Запросы на «заполнение пробела», кажется, дают меньше понимания, чем пары вопрос / ответ в системах памяти с интервальным повторением]])
Орион Дж. Андерсон :
::Опыт, который у меня был с множеством вопросов, заключался в том, что я читал вашу подсказку и не знал, какой ответ вы ожидаете. Тем не менее, у меня в голове была бы концепция или цитата из этого сегмента. Когда я щелкнул, чтобы открыть ответ, я увидел, что фраза, которую я вспомнил, действительно была ответом, который вы имели в виду, я просто не понимал, как и почему это был ответ.
Сорен Бьорнстад отмечает, что плохо написанные подсказки требуют, чтобы вы также запомнили, «что спрашивает».
Связано: [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]]
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Самая простая подсказка приложения может включать только одну деталь из текста. Например, один может преобразовать декларативное приглашение `What’s the matrix representation of the X gate` в простом приложение подскажет? `What’s the output of the X gate applied to [0 1]?` Но может быть и более сложное приложение `What's the output of this circuit? [Picture of a circuit with |+> as input, passing through X`. Этот запрос требует одновременного использования нескольких деталей: простой обозначения схемы, определения `|+>` и определения `X`.
Такие подсказки можно представить себе как фрагмент мощного набора некоторого связанного набора деталей в мнемоническом эссе. Это примерно третья степень. Это было бы утомительно, но можно представить себе, как писать вопросы, которые будут представлять большую часть полного набора возможностей.
Эти подсказки будут во многом схожи с выводами, описанными в разделе [[Простые подсказки приложения могут быть представлены так же, как подсказки отзыва в мнемоническом носителе]], но взаимозаменяемость вариантов значительно затруднена. Этот тип вопросов, вероятно, выиграет от анализа графа знаний в стиле ITS, с использованием выводов, чтобы определить, какие детали особенно слабые.
Эти комбинированные подсказки могут со временем усложняться. Возможно, они появляются только после того, как читатель завершит второй уровень для всех вопросов в тексте. Это пример того, как [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Одна из проблем заключается в том, что написание таких подсказок намного сложнее, чем напоминаний.
Одна из причин заключается в том, что напоминания в основном перефразируют материал, который уже содержится в тексте, превращая декларативные утверждения в вопросы. Подсказки приложения по определению требуют построения некоторой ситуации, которой нет в тексте. Это требует некоторого творчества; одновременно авторы должны следить за тем, чтобы подсказки оставались простыми.
[[Запросы приложения должны изменяться при повторении]]. Создание этих вариантов обходится дорого, а [[Варианты подсказок приложения сложно автоматизировать]].
[[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]] и лучше, чтобы они были краткими.
"""
Например, Возняк (1999) приводит следующий пример улучшения подсказки:
(до)
Q: Альдус изобрел настольную издательскую систему в 1985 году с помощью PageMaker. В течение многих лет у Альдуса было мало конкурентов, поэтому он не смог улучшить его. Затем Денвер… пролетел мимо. PageMaker, теперь принадлежащий Adobe, остается № 2
A: Quark
(после)
Q: PageMaker уступил место…
A. Quark
""""
Одна из основных причин этого заключается в том, что он поддерживает легкий, плавный ритм во время обзорных сессий. «Тяжелые» вопросы могут затруднить концентрацию, но, возможно, что более важно, они могут способствовать тому, что сеансы повторения будут казаться рутинными: [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]].
Я пока не понимаю как, но краткие формулировки часто помогают мне запоминать ответы с меньшим количеством повторений. Это может быть связано с тем, что длинные вопросы затрудняют сосредоточение внимания на наиболее важных деталях поиска. Или, может быть, это просто потому, что длинные вопросы снижают мою концентрацию.
По мере того, как приглашение становится длиннее, возрастает вероятность того, что оно будет включать слово или текстуру, которые вызовут ответ, но без значимой связи с ответом («сопоставление с образцом»): [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]].
!!!References
Wozniak, P. (1999, February). Effective learning: Twenty rules of formulating knowledge. https://www.supermemo.com/en/archives1990-2015/articles/20rules
Карточки, как и карточки [[§Система интервального повторения]], пользуются заслуженно плохой репутацией отчасти потому, что напоминают людям о механическом обучении в школе. Люди помнят, что их заставляли запоминать отдельные факты, такие как названия различных категорий облаков, и они помнят, как повторяли эти ответы, не добившись какого-либо прочного понимания. Отчасти проблема заключается в том, что [[Цели обучения часто подрывают себя]]: вы, вероятно, действительно не заботились об изучении этого материала. Но помимо этой проблемы, эти изолированные упражнения особенно хрупкие, потому что они развивают знания, которые могут быть использованы только в одном контексте, без связи с более широкими концептуальными рамками и пониманиями: [[Богатое понимание - это связь]].
Эффективные интервалы повторения подсказок для запоминания подкрепляют идею, получая доступ к ней с разных сторон. Например, помимо демонстрации фотографии кучево-дождевого облака и вопроса о его типе, вы также можете подкрепить эти знания следующими связанными вопросами:
* ''Причины'': Какие условия необходимы для образования кучево-дождевого облака?
* ''Пояснения'': Что делает верхушку кучево-дождевого облака плоской?
* ''Создайте пример'': визуализируйте кучево-дождевое облако.
* Связанный особый случай: [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]].
** ''Сравнение'': Какие ключевые особенности отличают кучево-дождевое облако от кучевого облака?
* ''Значение / эффекты / «ну и что?»'': Какой тип погоды обычно создает кучево-дождевое облако на уровне земли?
!!!References
Nielsen, M. (2019, January). [[Using spaced repetition systems to see through a piece of mathematics|http://cognitivemedium.com/srs-mathematics]]
::Люди, не имеющие опыта в математике, иногда запоминают доказательства в виде линейных списков утверждений. Более удобный способ представить доказательства как взаимосвязанные сети простых наблюдений. Вещи редко бывают правдой только по одной причине; поиск нескольких объяснений вещей дает вам лучшее понимание. В некотором смысле это «неэффективно», но это также способ углубить понимание и улучшить интуицию. Вы строите сеть доказательств, устанавливая больше связей между узлами.
При написании подсказок для [[§Система интервального повторения]] легко случайно написать вопрос, на который есть правильные ответы помимо того, который вы намереваетесь. Вы должны включить достаточно контекста, чтобы разумные альтернативные ответы были явно неправильными, но не включайте столько контекста, чтобы вы нарушили краткость ([[Подсказки с интервалом повторения в памяти должны быть краткими]]) или поощрять сопоставление с образцом ([[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]).
Например, если вы только что прочитали рецепт приготовления омлета, может показаться естественным спросить: «Каков первый шаг, чтобы приготовить омлет?» Ответ может показаться очевидным по сравнению с рецептом, который вы только что прочитали: первый шаг - это «разогреть масло на сковороде»! Но через полгода, когда вы вернетесь к этому вопросу, есть много разумных ответов: взбивать яйца; разогреть на сковороде сливочное масло; грибы фарш для начинки; и т.п.
Одно из решений - придать вопросу чрезвычайно конкретный контекст: «Что является первым шагом в рецепте омлета Bon Appetit Jun '18?» Но такая постановка предполагает, что знания гораздо более провинциальны, чем они есть на самом деле. По возможности, общие знания следует выражать в общих чертах, если можно избежать двусмысленности. Это может означать поиск другой точки зрения на вопрос; например: «При приготовлении омлета, как нужно готовить сковороду перед добавлением яиц?»
[[Сорен Бьорнстад]] [[отмечает|https://controlaltbackspace.org/memory/designing-precise-cards/#questions-should-be-context-free]] отмечает, что подсказка, которая не исключает альтернативных правильных ответов, требует, чтобы вы также запомнили, «что спрашивает подсказка».
Этот принцип не применяется к подсказкам с интервальным повторением, не связанным с памятью, которые часто явно предназначены для получения разных ответов каждый раз: [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]].
"""
Q. В чем проблема с подсказкой SRS «Что нужно сделать в первую очередь для приготовления омлета?»
А. Есть много разумных ответов на этот вопрос.
Запросы SRS, ориентированные на память, должны однозначно исключать {альтернативные правильные} ответы.
"""
При использовании [[§Система интервального повторения]] для изучения фактов, наивный подход приводит к изучению множества фактов изолированно: названия белка, даты события, размера физической константы. Но поскольку [[Богатое понимание - это связь]], лучше связать эти факты с другими идеями. Это не только поможет вам запоминать более надежно (благодаря [[Детальное кодирование]]), но и поможет вам развить более глубокое понимание, выходящее за рамки простых фактов.
Майкл приводит этот хороший пример в книге «Улучшение долговременной памяти»:
::Например, можно попытаться вспомнить как единичный факт, что 1962 год был годом вывода на орбиту первого телекоммуникационного спутника Telstar. Но лучший способ запомнить это - рассказать об этом другим. Относительно прозаично, можно заметить, что Telstar был запущен всего через 5 лет после первого советского спутника Sputnik. На то, чтобы использовать пространство для телекоммуникаций, не потребовалось много времени. Менее прозаично - более богатая разработка - я лично нахожу увлекательным, что Telstar был выведен на орбиту за год до введения ASCII, возможно, первого современного цифрового стандарта для передачи текста. У человечества был телекоммуникационный спутник до того, как появился цифровой стандарт передачи текста! Обнаружение такого рода связи - пример сложного кодирования.
Связано: [[Вечнозеленые заметки должны быть тесно связаны]].
Чарли Мангер:
::«Что ж, первое правило состоит в том, что вы ничего не можете знать, если просто запомните отдельные факты и попытаетесь их отбросить. Если факты не держатся вместе на решетке теории, вы их не получите. удобная форма. У вас в голове должны быть модели. И вы должны сосредоточить свой опыт как косвенно, так и непосредственно на этой решетке моделей. Возможно, вы заметили учеников, которые просто пытаются вспомнить и отбросить то, что вспоминают. Что ж, они терпят неудачу в школе и в жизни». https://www.youtube.com/watch?v=5U0TE4oqj24
!!!References
Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html
Остерегайтесь предвзятых представлений [[Думайте самостоятельно]].
* Более быстрое выполнение работ за счет использования уже имеющихся работ
** [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]
** [[Создавайте спекулятивные контуры во время написания заметки]]
** [[Исполняемая стратегия письма]]
* Эпистемология :todo изучить понятие:, оригинальность
** [[Используйте заметки, чтобы избежать предвзятых выводов]]
** [[Скачки в понимании возникают из предыдущих мыслей]]
** [[Мозговой штурм часто может заменить недостающие системы накопления insights]]
** [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]]
** [[Вечнозеленые заметки - безопасное место для развития безумных идей]]
!!!Мораль:
* реагировать на подлинный интерес и мысли, вместо того, чтобы думать: ** «Я должен написать об Икс»
** больше нет того «о чем мне написать?»
[[[Let ideas and beliefs emerge organically]|https://notes.andymatuschak.org/z5uSCvx3W2GdzBVhWAAXrrCcykJ8SHimdJzg7]]
::TODO - прочитать [Как думать самостоятельно](http://paulgraham.com/think.html)::
Пол Грэм утверждает, что есть три ключевых компонента:
# привередливость к правде
# независимость
# любопытство
Несколько институциональных петель обратной связи для независимого мышления в подростковом возрасте:
К тому времени, когда они достигают совершеннолетия, большинство людей примерно знают, насколько они умны ... потому что их постоянно тестируют и оценивают в соответствии с ними. Но школы обычно игнорируют независимость ... Таким образом, мы не получаем ничего похожего на отзывы о том, насколько мы независимы.
Очень важно, кем вы себя окружаете. Если вас окружают обычные люди, это ограничит ваши идеи, которые вы можете выразить, а это, в свою очередь, ограничит ваши идеи. Но если вы окружите себя людьми с независимым складом ума, вы испытаете противоположный опыт: услышите, как другие говорят удивительные вещи, это побудит вас думать и думать о большем.
[[Быть любопытным]] в рациональной гигиене:
Когда вы слышите, что кто-то что-то говорит, остановитесь и спросите себя: «Это правда?» ... Конечная цель не в том, чтобы найти недостатки в том, что вам говорят, а в том, чтобы найти новые идеи, которые были скрыты ошибочными. Так что эта игра должна быть увлекательным поиском новинок, а не скучным протоколом интеллектуальной гигиены.
[[Формулируйте вопросы поиска истины в терминах «до какой степени?» и «в каком смысле?» а не в бинарной логике "да/нет"]].
Если вы хотите по-настоящему понять идею, вам нужно с ней бороться.
Вы не можете просто прочитать что-то, послушать лекцию или услышать какое-то понятие в разговоре. Вы должны задаться вопросом: где это применимо, а где нет? Какие последствия? Какие предположения? Чье мнение здесь представлено? Что это опровергает? и т.п.
#ЗПП-думание
Как примечательно говорит Стивен Косслин:
Первая максима - «Продумайте это». Ключевая идея очень проста: чем больше вы что-то обдумываете, обращая внимание на то, что делаете, тем больше вероятность, что вы это запомните.
Это понятие является основной идеей #e/конструктивизма, и именно поэтому трансмиссионизм не работает.
И Шопенгауэр:
Когда мы читаем, за нас думает другой человек: мы просто повторяем его мыслительный процесс. … Ибо чем больше человек читает, тем меньше остается следов прочитанного; ум подобен табличке, которую переписывают снова и снова. Следовательно, невозможно размышлять; и только размышлением можно усвоить прочитанное, если читать прямо вперед, не размышляя над этим позже, то, что было прочитано, не укореняется, а по большей части теряется. Действительно, с душевной пищей то же самое, что и с телесной пищей: едва ли пятая часть того, что человек принимает, усваивается; остаток уходит при испарении, дыхании и т.п.
Грант Сандерсон (28.11.2019):
Вы должны смотреть в глаза идее.
!!!References
Kosslyn, S. M. (2017). The Science of Learning: Mechanisms and Principles. In S. M. Kosslyn & B. Nelson (Eds.), *Building the Intentional University: Minerva and the Future of Higher Education* (1 edition, pp. 149–164). Cambridge, MA: The MIT Press.
Schopenhauer, A. (2015). On reading and books. In C. Janaway (Ed.), & A. Del Caro (Trans.), *Parerga and Paralipomena: Short Philosophical Essays* (Vol. 2). [https://doi.org/10.1017/CBO9781139016889](https://doi.org/10.1017/CBO9781139016889) (Original work published 1851)
В опросе Pew 2018 года большинство респондентов читают только печатные книги. Около 3/4 респондентов читали какие-либо книги в прошлом году; только 1/4 читала электронные книги за последний год. Тенденция плоско-нисходящая. Но количество аудиокниг растет.
Возможная причина: [[Читать тексты на компьютере неприятно]].
!!!References
[[Pew Research Center. (2019). 2019 survey on book reading formats. Retrieved from|https://www.pewresearch.org/wp-content/uploads/2019/09/FT_19.09.25_BookReadingFormats_Methodology_Topline.pdf]]
Даже если вы стремитесь писать [[Вечнозеленые заметки]], большинство заметок начинаются как временные заметки. Вы должны уметь фиксировать мысли без трения ([[Закрыть открытые петли]]), а затем надежно превращать их в вечнозеленые заметки с течением времени ([[Знания должны срастаться]]).
Это подразумевает два важных механизма:
# быстрый способ захвата переходных нот, который четко изолирует их от вечнозеленых нот;
# место для заметок, которые вы хотите развивать дальше, и практика, которая надежно истощает его ([[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]])
Для этого я использую «почтовый ящик». Непроработанные идеи, выдержки из моего [[Журнал ежедневной работы]], заметки из чтения, однострочные подсказки и т. д. - все начинается в этой очереди. Во время [[Моя утренняя практика письма]] я просматриваю заметки в этом почтовом ящике и трачу время на их разработку. В большинстве дней я трачу большую часть своего писательского времени на это.
Находясь за компьютером, я записываю заметки прямо в свой почтовый ящик. Я также «подкармливаю» его идеями из моего [[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]]
!!!References
[[Building Blocks of a Zettelkasten • Zettelkasten Method|https://zettelkasten.de/posts/zettelkasten-building-blocks/]]
Чтобы избежать распространения вкладок браузера, вызывающих тревогу, и ужасающей папки PDF-файлов, важно иметь автоматическую процедуру захвата ссылок на показания, которые могут оказаться полезными.
После захвата каждый элемент в папке «Входящие»:
# оказывается в мусоре (не похоже, что его вообще стоит подробно читать)
# читается всерьез (т.е. [[Пишите о том, что вы читаете]])
# читается неглубоко и помещается в справочную библиотеку
(возможно) добавляется в какой-то другой список, например «рецепты для приготовления»
# (возможно) добавляется в какой-то другой список, например, «рецепты, которые нужно приготовить»
Важно отметить, что это не список «может быть, когда-нибудь». Он не накапливается бесконечно, потому что тогда это не был бы надежный способ [[Закрыть открытые петли]].
Итак, при создании почтового ящика для чтения необходимо учитывать следующее:
# захват с нулевым трением для книг, статей, веб-страниц (чтобы легко закрыть этот цикл)
# нулевое трение для просмотра чтения, соответствующего элементу почтового ящика
# беспрепятственный листинг по типу элемента
# почтовый ящик должен поощрять удаление устаревших элементов (например, это должно быть очевидно, если один из них был передан много раз)
Интересно, что ни одна существующая система «читать позже» или справочного управления не соответствует этим критериям. Они обычно изолированы по типу контента, и ни один из них не поощряет удаление затяжных элементов. См. также: [[Остерегайтесь автоматического импорта в ящик входящих для чтения]].
Почтовый ящик для чтения является важным клапаном для вещей, с которыми я сталкиваюсь на смартфоне (см. раздел [[Используйте телефоны для сбора и сортировки, а не (обычно) для чтения]].
Похожее: [[Поэтапное чтение]]
https://notes.andymatuschak.org/z2gZooHVxB8x6EbDSR97Bz1jFMqAqSWSLPnMs
Если вы практикуетесь в исполнении музыкального произведения или решаете сложные математические задачи, вы можете представить, что улучшение соответствует более глубокому кодированию соответствующих знаний - моторных, концептуальных и т. Д. Но, по крайней мере, в некоторых областях кажется, что практика не просто помогает вам учиться. когнитивный навык: он также может {расширить ваши возможности для этого навыка} за счет { физического увеличения связанных областей мозга }. Это может быть частью того, почему [[Физические и когнитивные способности человека можно удивительно значительно расширить с практикой]].
Эрикссон и Пул (2016) резюмируют этот эффект следующим образом: «при осознанной практике… цель - не просто реализовать свой потенциал, но и развить его». (стр.48)
"""
В. С осознанной практикой ... цель не просто _ _ ваш потенциал, но _ _ .
А. досягаемость; построить это
"""
!!!Примеры
{Гасер и Шалуг} ({2003}) обнаружили, что у профессиональных пианистов {значительно больше серого вещества в моторных, слуховых и зрительно-пространственных областях брайана}, чем у пианистов-любителей.
{Aydin et al} ({2007}) обнаружили, что у математиков было {значительно больше серого вещества в левой нижней лобной и двусторонней нижней теменной долях} по сравнению с контрольной группой. Эти области связаны с {арифметической обработкой}. А плотность {правой нижней теменной доли} коррелировала с {многолетним опытом} (r = 0,84). Нижние теменные области связаны с {зрительно-пространственными образами}.
{Hutchinson et al} ({2003}) обнаружили, что объем мозжечка {мужчин} музыкантов {коррелирует с количеством часов их тренировок}. Странно, что этот эффект обнаружили только у мужчин, но, как ни странно, у женщин нет разницы? Это был настоящий эффект: r = 0,595, P = 0,001. По-видимому, у женщин просто больший объем базового мозжечка, что, по их мнению, может маскировать эффект.
!!!Зависит ли эта пластичность от возраста?
{Bengtsson et al} ({2005}) изучили структуру белого вещества {профессиональных пианистов} и обнаружили связь между {детскими тренировками}, в частности, и повышенной плотностью белого вещества в трактах {мозолистого тела}, связанной с {двигательной согласование}. Они предполагают, что восприимчивость к этим изменениям может быть намного выше в детстве, потому что {соответствующие участки белого вещества к тому времени еще не созрели}.
!!!Это соперник пластичности?
Эрикссон и Пул (2016, стр. 45-46) утверждают, что такого рода расширение может быть конкурентом , ссылаясь на одно исследование, в котором лондонские таксисты хуже справляются с задачами пространственной памяти
---
!!!References
Aydin, K., Ucar, A., Oguz, K. K., Okur, O. O., Agayev, A., Unal, Z., Yilmaz, S., & Ozturk, C. (2007). Increased Gray Matter Density in the Parietal Cortex of Mathematicians: A Voxel-Based Morphometry Study. American Journal of Neuroradiology, 28(10), 1859–1864. https://doi.org/10.3174/ajnr.A0696
Bengtsson, S. L., Nagy, Z., Skare, S., Forsman, L., Forssberg, H., & Ullén, F. (2005). Extensive piano practicing has regionally specific effects on white matter development. Nature Neuroscience, 8(9), 1148–1150.
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. Peak - Ericsson and Pool
Gaser, C., & Schlaug, G. (2003). Brain Structures Differ between Musicians and Non-Musicians. Journal of Neuroscience, 23(27), 9240–9245. https://doi.org/10.1523/JNEUROSCI.23-27-09240.2003
Hutchinson, S., Lee, L. H.-L., Gaab, N., & Schlaug, G. (2003). Cerebellar volume of musicians. Cerebral Cortex (New York, N.Y.: 1991), 13(9), 943–949. https://doi.org/10.1093/cercor/13.9.943
[[Знания должны срастаться]], но [[Большинство людей делают только временные заметки]].
Отчасти потому [[Неэффективная практика написания заметок дает слабую обратную связь]], люди даже не замечают, насколько они неэффективны. Они развивают определенный базовый уровень навыков написания заметок и в основном остаются там ([[Люди обычно развивают навыки до плато, а затем останавливаются]]). Производительность экспертов не определена четко, поэтому не очевидно, что люди работают плохо ([[Важность улучшения способствует развитию навыков]]). Все это также относится и к другим основным навыкам работы с знаниями: [[Основные практики в работе с знаниями часто являются ad-hoc]]) .
Многое из того, что написано о попытке улучшить эту практику, ошибочно: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]].
Напротив: [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].
Для изобретения новых очень мощных систем, по-видимому, требуется как опыт системного проектирования, так и предметная экспертиза (см. [[Insight через создание]] и [[Изобретение индо-арабских цифр требует как гения дизайна, так и гения математики]]).
Поскольку профильные эксперты обычно не обладают навыками проектирования систем у дизайнеров, при типичном подходе дизайнеры помогают многим экспертам в предметной области, вычерчивая их идеи и итеративно синтезируя их в систему. Это центральная практика «дизайн-мышления» а-ля IDEO.
Но это, кажется, фундаментально ограничивает область, в которой может быть произведено понимание, за исключением тех, которые требуют глубоких знаний в предметной области. Дизайнер может синтезировать и создавать видение только в той степени, в которой они могут понимать основной предмет, с помощью своих бесед с экспертами в предметной области. Хуже того: создание сложной системы в предметной области может потребовать множества итераций, и понимание каждой итерации может потребовать предметных знаний для восприятия и включения в систему.
При более активном подходе дизайнер выступает не только в роли фасилитатора, но и в роли оркестратора, который как можно глубже занимается предметом обсуждения. Это подход, пропагандируемый [[Пендлтон-Джуллианом и Брауном, Design Unbound]]. Это кажется лучше - возможно, во многих случаях достаточно хорошо - но это не снимает фундаментального ограничения, описанного выше. В конце концов, [[Великая творческая работа обычно является продуктом одного человека]]. Если дизайнер действует как оркестратор и синтезатор, глубокий творческий скачок должен исходить из его разума - в этом смысле они «действуют как лидеры». (Пендлтон-Джуллиан и Браун, 2018. стр. 133). Таким образом, область понимания все еще ограничена степенью их понимания предмета.
---
!!!References
Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press. Pendleton-Jullian and Brown, Design Unbound
Matuschak, A., & Nielsen, M. (2019 0). How can we develop transformative tools for thought? https://numinous.productions/ttft
[[Quantum Country]] - это специально созданный веб-сайт; механика глубоко запуталась в презентации эссе. Но основные взаимодействия [[Мнемоническая среда]] достаточно разделимы, чтобы можно было позволить встраивать эти взаимодействия в любую веб-страницу с помощью простого HTML.
Это основной компонент моего видения [[Система интервального повторения на уровне ОС]].
!!!Веб-компоненты
Мы можем определить спецификацию для мнемонических подсказок с помощью новых тегов HTML (например <card>). Затем мы предоставляем библиотеку Javascript (вероятно, с открытым исходным кодом), которая при добавлении на страницу «гидратирует» эти компоненты, заменяя их узлами DOM во время выполнения. Такие [[веб-компоненты|https://www.webcomponents.org/]] теперь хорошо поддерживаются во всех современных браузерах, кроме Edge, и, похоже, для этого существует полифилл.
Это не обязательно привязывает издателя к определенному серверу для хранения состояния пользователя: наша клиентская библиотека может предлагать различные конечные точки сервера по мере их появления, включая постоянное хранилище, управляемое клиентом (без учетных записей!).
Этот подход является гибким: вы можете поменять нашу клиентскую библиотеку на другую, которая поддерживает ту же спецификацию веб-компонентов; в будущем он может быть расширен на другие серверы; область применения этой библиотеки JS может быть расширена за счет включения других функций. Издатели могут сами размещать JS или обслуживать его из контролируемой нами CDN. Если JS отключен или скрипт не может быть загружен, карточки просто не будут. Вы даже можете определить стили печати для таких тегов.
Этот подход действительно требует изрядной абстракции. Если бы мы захотели существенно изменить протокол, спецификацию или формат состояния, у нас, скорее всего, возникли бы проблемы с совместимостью.
Возможно, что более важно, этот подход требует, чтобы автор / издатель осмысленно создавал HTML. Это может быть сложно интегрировать в рабочие процессы, например, экспорт HTML из исходных документов InDesign. Если HTML-документ не является «источником истины», теги карточек будут стираться всякий раз, когда автор реэкспортирует из своего исходного документа.
Мы, вероятно, все еще захотим создавать плагины для таких платформ, как Wordpress, с этим подходом.
!!!Значительные препятствия для аутентификации пользователей в сторонних контекстах
После того, как пользователь вошел в систему, он должен иметь возможность накапливать подсказки в Интернете без необходимости входить в систему на каждом сайте. Этого сложно добиться!
Сайт хостинга не может записать cookie, который будет доступен для чтения любыми другими потенциальными сайтами хостинга: cookie заблокированы по происхождению.
Мы можем встроить механизм аутентификации в iframe, размещенный в согласованном источнике, но это будут «сторонние файлы cookie». За последние пару лет браузеры, особенно Safari, начали агрессивно блокировать сторонние файлы cookie, поскольку они повсеместно используются для отслеживания и рекламы, нарушающих конфиденциальность.
В общем, любой механизм, который позволит этим встроенным подсказкам обмениваться учетными данными для аутентификации, также позволит нам отслеживать этого пользователя в целях нарушения конфиденциальности. Таким образом, мы постоянно находимся под перекрестным огнем этих функций безопасности браузера. Chrome и Edge будут «просто работать», по крайней мере, в ближайшие пару лет, а Safari и Firefox - нет. Edge отмечен как «реализующий» API доступа к хранилищу.
Apple и Mozilla создали API доступа к хранилищу, который позволяет стороннему контенту запрашивать доступ к его сохраненным учетным данным в этом контексте. В Safari это звучит так, как будто это всегда требует отображения запроса на утверждение. Фу. И: Safari может по- прежнему разрешать установку cookie в этом контексте только в том случае, если пользователь уже взаимодействовал с сайтом в собственном контексте! Вау, жестоко. Скорее всего, нужно будет предложить расширение Safari, чтобы сделать Safari разумным.
Похоже, что Safari по крайней мере добавляет API, чтобы позволить этим контекстам определять, вошел ли пользователь в систему. Набор изменений 250944 - WebKit.
!!!Разбор и замена текстовых блоков
Некоторые рабочие процессы не позволяют пользователям добавлять произвольные HTML-теги. Например, предположим, что они создают сайт с помощью специального программного обеспечения для ведения блогов, которое предлагает только WYSIWYG.
В этих случаях, предполагая, что внедрение сценария все еще возможно, мы могли бы разрешить авторам добавлять вопросы аналогично [[Моя реализация персонального мнемонического носителя]] в виде открытого текста, анализируемого и извлекаемого сценарием во время выполнения.
«Сознательная практика» (Ericsson et al, 1993) описывает:
требующие больших усилий, высокомотивационные занятия…
… С конкретной целью повышения производительности
[[Типичная рабочая и производственная среда не является преднамеренной практикой]]
...Которые тщательно разработаны (и постоянно обновляются) для этой цели
[[Опытные тренеры способствуют эффективной осознанной практике]]
* Преднамеренная практика обычно не считается приятной; это способствует повышению их эффективности, а не мотивирует их.
* Поскольку осознанная практика требует больших усилий, студенты могут заниматься только ограниченное время каждый день, и им нужна возможность полностью восстановиться на регулярной основе.
* требует разборчивости для ученика: он должен видеть свой прогресс
Осознанная практика носит постепенный характер: «Осознанная практика почти всегда включает в себя создание или изменение ранее приобретенных навыков, сосредоточивая внимание на определенных аспектах этих навыков и работая над их конкретным совершенствованием; со временем это поэтапное улучшение в конечном итоге приведет к повышению квалификации специалистов ». (Эрикссон и Пул, 2016, с. 100)
!!!References
"""
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. Ericsson et al - The Role of Deliberate Practice in the Acquisition of Expert Performance
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
"""
Пусть структура появится органически (organically). Когда она навязывается с самого начала, вы преждевременно ограничиваете то, что может возникнуть, и искусственно сужаете нюансы отношений между идеями.
Наши файловые системы, организационные структуры и библиотеки предполагают, что иерархические категории являются естественной структурой мира. Но это не так! И элементы относятся к другим элементам в очень разных иерархических категориях, часто одновременно.
Хуже того, что предварительно сортируя вещи по четко определенным категориям, мы обязательно размываем их края. И тогда нам кажется, что не совпадают друг с другом. Может быть, как только будет собрано достаточно новых идей, появится новая категория… за исключением того, что вы не можете увидеть ее форму, потому что все уже отсортировано. А поскольку все уже отсортировано, дальнейшая сортировка требует отмены существующей структуры.
Лучше позволить сетям связанных идей возникать постепенно, без ярлыков: [[Позвольте идеям и убеждениям возникать органически]]. Как только вы увидите фигуру, вы сможете подумать о ее характере. Это одна из причин, почему [[Вечнозеленые заметки - безопасное место для развития безумных идей]].
Но будьте осторожны: [[Теги - неэффективная ассоциативная структура]].
Одно из последствий следования этому совету: [[Трудно перейти к несвязанным «соседям» в ассоциативных системах заметок]].
!!! References
Bush, Vannevar. “As We May Think.” Atlantic Monthly, July 1945.
Наша неспособность в установлении рекордов во многом вызвана искусственностью систем индексации. Когда данные любого вида помещаются в хранилище, они располагаются в алфавитном или числовом порядке, а информация (когда она есть) обнаруживается путем отслеживания ее от подкласса к подклассу. Он может быть только в одном месте, если не используются дубликаты; нужно иметь правила относительно того, по какому пути он будет находиться, и эти правила громоздки. Более того, найдя один предмет, нужно выйти из системы и снова вступить на новый путь. ***Человеческий разум так не работает. Работает по ассоциации***. Обладая одним предметом, он мгновенно переходит к следующему, на что указывает ассоциация мыслей в соответствии с какой-то сложной паутиной следов, проводимых клетками мозга.
[[Почему категории для вашего архива заметок - плохая идея * Метод Zettelkasten|https://zettelkasten.de/posts/no-categories/]]
Тематические кластеры возникают сами по себе, особенно вокруг ключевых слов или тегов. Полученный архив соответствует тому, что вы думаете, потому что он увеличивался в соответствии с вашими интересами. Кроме того, вещи обозначены особым образом значимым для вас, а не для кого-либо еще. Это все об управлении личной информацией, поэтому персонализация является обязательной, а растущая индивидуальная непереносимость, вероятно, улучшит ситуацию.
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов документальных книг.
В старой системе вопрос: в какой теме хранить эту заметку? В новой системе возникает вопрос: в каком контексте я захочу снова наткнуться на нее?
При написании [[Вечнозеленые заметки]] я обнаружил, что использование полных фраз в качестве заголовков заметок помогает поддерживать концептуальную ориентацию ( [[Вечнозеленые заметки должны быть концептуальными]]. Например: [[Цели обучения часто подрывают себя]] , [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]]
Часто это декларативные или императивные фразы, делающие сильные утверждения. Это заставляет меня адекватно поддерживать утверждение в теле заметки. Если я пишу заметку, но изо всех сил пытаюсь резюмировать её в чётком названии, это часто является признаком того, что мои мысли нечёткие или что эта заметка касается нескольких тем ((в отличие от [[Вечнозеленые заметки должны быть атомарными]]). В обоих случаях решение состоит в том, чтобы сначала разбить идеи на части и написать о том, что я понимаю лучше всего.
Вопросы также являются хорошими заголовками для заметок, потому что такая позиция создает давление, заставляя вопрос доходить до сути вопроса. Некоторые вопросы действительно вечнозеленые ([[В какой степени наследуются исключительные способности?]]); другие - более эфемерные творческие подсказки ( [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]]). Цель последнего типа примечаний - в конечном итоге избавиться от знака вопроса, преобразовав его в декларативные / императивные примечания.
Несколько распространенных исключений из этой политики:
* Я использую существительные и словосочетания в названиях заметок только для определения основных терминов (вокруг которых обычно вращаются другие заметки). Примеры: [[Исполняемая стратегия письма]], [[Реализованный опыт]], [[Благоприятная (стимулирующая) среда]]
* Примеры: [[Исполняемая стратегия письма]], [[Реализованный опыт]], [[Благоприятная (стимулирующая) среда]]
* Для получения дополнительной информации [[Таксономия (cистематика) типов заметок]]
Я часто начинаю с написания заметки, не зная, каким будет заголовок. Заголовок часто появляется из текста в том виде, в котором он написан. Когда в заметке предлагается сильное название с четким утверждением, это хороший знак, что оно начинает обретать смысл. Связано: [[Заголовки вечнозеленых заметок похожи на API]]
При написании [[Вечнозеленые заметки]] заманчиво писать такие заметки, как «X — это плохо» или «Y не работает». Вместо этого предпочитать писать заголовки заметок, которые выражают свойство или требование в положительном смысле.
Если вы их продумали, негативно ориентированные заметки обычно содержат описательную теорию того, почему недостающее / ошибочное свойство важно. Выдвигая эту теорию на передний план, вы упрощаете рассмотрение заявлений в систематическом контексте, что, в свою очередь, упрощает дальнейшее развитие.
!!!Например:
* [[Метакогнитивная поддержка требует совместной динамической среды]], а не «пассивные среды не могут предложить хорошую метакогнитивную поддержку»
* [[Используйте телефоны для сбора и сортировки, а не (обычно) для чтения]], а не для «Не читайте на телефоне»
Края, связывающие узлы в информационных системах (например, [[Вечнозеленые заметки должны быть тесно связаны]]) сами должны быть помечены каким-то образом, который контекстуализирует ассоциацию. Часто недостаточно сказать «X связан с Y»: лучше сказать «X более подробно рассказывает о Y в контексте Z».
Дополнительный контекст будет подсказкой для вашей памяти или оценки связанного материала, что поможет вам эффективно ориентироваться в графе знаний и отследить ваши прежние мыслительные процессы.
Края, связывающие узлы в информационных системах (например, [[Вечнозеленые заметки должны быть тесно связаны]]) сами должны быть помечены каким-то образом, который контекстуализирует ассоциацию. Часто недостаточно сказать «X связан с Y»: лучше сказать «X более подробно рассказывает о Y в контексте Z».
Дополнительный контекст будет подсказкой для вашей памяти или оценки связанного материала, что поможет вам эффективно ориентироваться в графе знаний и отследить ваши прежние мыслительные процессы.
Статью перенес в Bear
https://www.nature.com/articles/d41586-021-00592-0?utm_source=twitter&utm_medium=social&utm_content=organic&utm_campaign=NGMT_USG_JC01_GL_Nature
При чтении обычных книг (особенно во время [[Инспекционное чтение]]) опытный читатель, естественно, сохраняет свою позицию чтения одновременно в нескольких разделах книги. ? Например, это может быть операция «стека» (сохранение своего места при обращении к другому), операция «собачьего уха» (накопление набора мест, на которых нужно сосредоточиться; см. Askwall) или операция параллельного чтения (сравнение нескольких отрывки). Цифровые считыватели очень усложняют эту операцию.
Поскольку экраны часто больше, чем физические книги, для управления этим можно использовать несколько окон, но [[Параллельное чтение в цифровом чтении в большинстве случаев невозможно]]. Даже в настольных операционных системах большинство приложений для цифрового чтения не позволяют даже открыть второе окно для просмотра того же документа. Это ограничение усугубляется проблемами, описанными в разделе [[Низкая производительность приводит к нарушению нелинейного чтения при цифровом считывании]].
В качестве альтернативы можно использовать закладки или явную внутрисистемную структуру для управления местоположениями чтения. Но закладки для цифровых ридеров - когда они есть - всегда слишком тяжелые.
[[LiquidText]] - единственное исключение: он использует мультитач для создания специальных закладок и предоставляет основу , на которой можно накапливать все более надежные ссылки.
Amazon Kindle имеет простой стек однонаправленной навигации для ограниченного набора операций, таких как переход к сноске или к месту в оглавлении. Это помогает, но только в небольшом подмножестве случаев.
!!!References
[[Askwall, S. (1985). Computer supported reading vs reading text on paper: A comparison of two reading situations. International Journal of Man-Machine Studies, 22(4), 425–439.|https://doi.org/10.1016/S0020-7373(85)80048-1]]
Когда я сажусь медитировать с помощью [[Приложения для медитации с гидом]], я не думаю о себе как о «занятии урока» или даже действительно «получении инструкции». Я сажусь *медитировать*. Но на самом деле эти занятия являются уроками, и я получаю обучение. Я использую приложение для руководства сеансом медитации. Эти приложения, как правило, открывают сеанс каждый день кратким уроком, который описывает дневную практику. Затем на протяжении всего сеанса учитель будет предлагать периодические указатели, относящиеся к теме этого дня. После занятия урок часто заканчивается несколькими прощальными предложениями.
Этот опыт ставит акцент на саму деятельность, а не на урок, который проводится периферийно. Сравните это с опытом прохождения урока по клеточной биологии. В типичном классе урок является основным направлением, а деятельность (например, структурированная лаборатория) явно является как вторичной, так и подчиняется содержанию урока. Когда вы приходите на ежедневную медитацию, вы думаете: «Я собираюсь медитировать», но когда вы приходите в лаборатории структурированной клеточной биологии, вы не думаете, что «Я собираюсь исследовать клеточную биологию» — вы думаете, что «сегодня урок — это лаборатория, а не лекция».
Перевернутое обрамление медитации мощное, потому что [[Благоприятная среда сосредоточена на том, что включено]] .
Лаборатория биологии на самом деле не о клеточной биологии, а о приобретении знаний в рамках подготовки к какому-то неопределенному будущему периоду, в котором вы можете заниматься клеточной биологией.
Некоторые другие виды деятельности, которые структурированы, как медитация таким образом:
* командные виды спорта: вы появляетесь, чтобы играть со своей командой, но ваш тренер, скорее всего, использует этот контекст для выполнения каких-либо упражнений или инструкций на день.
** я подозреваю, что также с оркестрами и хорами
* занятия фитнесом: вы действительно появляетесь, чтобы позаниматься*спортом*, а не «заниматься», даже несмотря на то, что есть инструктор, который может каждый день доставлять новые «инструктивные материалы»
** в случае Пелотона и др., это на самом деле массовая среда
* боевые искусства?
Я замечаю, что не могу придумать никаких хороших примеров, которые сосредоточены на абстрактных знаниях (например, клеточной биологии), а не на воплощенных практических знаниях. Почему?
e.g. Headspace, Waking Up, etc.
Эти приложения обладают некоторыми интересными медиа-свойствами
* [[Приложения для медитации объединяют инструкции с ежедневными занятиями]]
* [[Приложения для медитации с гидом естественным образом распространяются со временем]]
* [[Приложения для медитации с гидом доставляют реализованный опыт в средствах массовой информации]]
* [[Приложения для управляемой медитации создают благоприятную среду в средствах массовой информации]]
Если вы загрузите [[Приложения для медитации с гидом]] и будете выполнять его ежедневные занятия в течение нескольких месяцев, вы, вероятно, получите удивительные и глубокие впечатления. Однако, в отличие от обычного курса, любые глубокие открытия, которые вы испытаете, будут казаться в значительной степени авторскими, несмотря на присутствие учителя. Вы не будете учиться, ожидая, пока учитель медитации «сделает вас просветленным»: вы должны потратить время на подушку, восприимчивую к вашим собственным ощущениям. Все это говорит о том, что, хотя эти опыты могут казаться самими авторами, уроки медитации на самом деле структурированы так, чтобы их проводить. Это делает уроки медитации интересным примером [[Реализованный опыт]].
В общем, [[Реализованный опыт трудно распространять]]. Но эти приложения для медитации прекрасно масштабируются: они - средство массовой информации. Они представляют собой многообещающую справочную информацию о событиях в исполнении, обладающих невероятным потенциалом в качестве средства массовой информации .
Почему уроки медитации способствуют получению разыгрываемого опыта, а традиционные уроки - нет?
* Медитация - это [[Среда участия]] - на самом деле, она требует намеренного участия
* Уроки сформулированы как явно подчиненные практике: [[Приложения для медитации объединяют инструкции с ежедневными занятиями]].
Понимание медитации раскрывается медленно. Соискателям обычно рекомендуется практиковать ежедневно. Через несколько недель и месяцев они могут начать по-другому воспринимать мир. Некоторые концепции медитации не будут иметь никакого смысла, если у вас все еще есть проблемы с четким восприятием дыхания, поэтому их лучше представить позже. Другие концепции необходимо вводить много раз, в самых разных формах, прежде чем момент наконец наступит.
Книга по медитации не очень подходит для такого медленного разворачивания: поначалу многое в ней может не иметь смысла; читателям придется перечитывать его снова и снова по мере развития их практики. Большинство читателей, вероятно, этого не сделает.
Но возможности [[Приложение для медитации с гидом
приложения для управляемой медитации растянуты во времени]]. Каждое дневное занятие может дать новую идею: [[Приложения для медитации объединяют инструкции с ежедневными занятиями]]. Периодическое повторение старых идей может поддерживать их активность в подсознании учащихся до тех пор, пока они не будут готовы по-настоящему ими заняться. Вместо того, чтобы писать монографию по медитации в переплете, идеи можно медленно разворачивать (своего рода [[Своевременный текст]]). Это необычное свойство для средства массовой информации: [[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]].
Особенно сложный курс медитации может даже представить «более сложные» идеи позже в последовательности, как идея, описанная в [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]].
Некоторые связи здесь со [[Всё разнесено]]; например, [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]].
[[Приложения для медитации с гидом]] являются [[Благоприятная (стимулирующая) среда]] гораздо чаще, чем обычные «приложений для обучения».
* Как правило, они сосредоточены на глубоко значимом росте (понимании природы ума и бытия), а не на развитии навыков: [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]
* Они сосредоточены на том, чтобы делать то, что нужно: [[Благоприятная среда сосредоточена на том, что включено]]
* Занятия - это не горькая пилюля, которую нужно проглотить: даже ранние занятия служат истинно значимой цели. [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
* Практика преподавания возникла как побочный продукт собственных попыток серьезных созерцателей глубоко понять: [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].
** Хотя эти приложения представляют собой легко усваиваемые формы традиционных практик, методы медитации определяются практикой экспертов, а не новичков (например, математика в начальной школе): [[Мощные благоприятные среды сосредоточены на использовании экспертами]]
* [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]; приложения для медитации делают это: [[Приложения для медитации с гидом доставляют реализованный опыт в средствах массовой информации]].
Интерфейсы с длинными прокручиваемыми областями (например, длинные тексты, истории сообщений) кажутся дезориентирующими и хрупкими отчасти потому, что разработчики приложений не считают положение прокрутки важной частью состояния приложения.
Если пользователь помечает сообщение или выбирает фильтр, он, скорее всего, сохранится; потеря этого выбора может быть расценена как потеря данных. Напротив, обычные действия в интерфейсах обычно теряют позиции прокрутки.
Одна из проблем здесь заключается в том, что, хотя поведение прокрутки обычно реализуется через общий компонент системного уровня, семантическая интерпретация положения прокрутки как состояния приложения зависит от интерфейса. Например, одно и то же окно просмотра может быть повторно использовано для отображения нескольких различных потоков разговора. В некоторых случаях имеет смысл сохранить и восстановить позицию прокрутки последнего просмотренного разговора; в других случаях имеет смысл сохранять позиции прокрутки независимо для каждого разговора. Таким образом, сохранение этого состояния не может иметь место на уровне, который обычно был бы его моделью.
Связанный: [[Цифровое чтение с непрерывной прокруткой мешает постоянству объекта]]
"""
В. Почему приложения не поддерживают надежную позицию прокрутки окон просмотра интерфейса?
A. Разработчики не считают позиции прокрутки важной частью состояния интерфейса.
В. Какие проблемы возникают при сохранении позиций прокрутки как частей состояния приложения?
A. (например, обычно инфраструктура пользовательского интерфейса хочет быть «моделью», семантическая интерпретация идентичности окна просмотра незначительно меняется и т. д.)
"""
!!!References
Омар Ризван в Твиттере: [[«Я боюсь прокрутки (например, прокрутки вверх, чтобы увидеть историю чата) и возмущаюсь ею, потому что я знаю, что разработчики приложений не воспринимают это всерьез как состояние приложения, например, я нажимаю на другой чат, а затем возвращаюсь в чат, где Я прокручиваю вверх, и приложение отбрасывает мою позицию прокрутки»|https://twitter.com/rsnous/status/1251810672544845826]]
Скажем, что другой человек глубоко подумал о похожей идее на вашу собственную, и их выводы кажутся в основном похожими. У каждого из вас есть свои собственные условия искусства для различных атрибутов теории. Заманчиво подчинить термины другого в свои собственные, но, вероятно, есть тонкие различия между вашими концепциями и их, которые будут потеряны в процессе. Вы можете просто использовать термины другого человека, но иногда трудно идти в новых направлениях, когда вы привязаны к предыдущей терминологии, которая может содержать много коннотаций. И все же вы не хотите постоянно ссылаться на оба набора терминов.
Одним из решений является создание заметки, которая связывает ваш термин искусства с другим аналогичным термином искусства. Это устанавливает «мост» между теориями, описывая, где вы пересекаетесь, а где вы отличаетесь. Соответствующие терминологии могут сохранить свой «суверенитет» со своими собственными основными нотами - мостовая нота существует только для того, чтобы связать их. Например: [Сходства и различия между вечнозеленым написанием заметок и Zettelkasten].
Такие заметки напоминают мне записи в реляционной таблице соединений много ко многим.
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но ценность компьютеризированного компонента заключается именно в динамическом планировании и выборе вопросов для рассмотрения. В некотором смысле эффективность [[§Система интервального повторения]] происходит от ее способности
программировать ваше внимание ([[Программируемое внимание]]).
Подумайте: «{cron} для вашего разума».
Ручное принятие решений о том, какие карты следует просмотреть, было бы обложено слишком обременительным налогом на каждую карточку. Стоимость транзакции слишком высока. Когда эта работа в основном передается на аутсорсинг, вы можете принять более грубое решение - посвятить свое внимание практике SRS в течение 10 минут - а затем позволить вашему вниманию быть направлено машиной в этом блоке.
В традиционной системе в стиле карточек вы можете использовать это наблюдение, чтобы выйти далеко за рамки запоминания: см. [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]], а [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]. [[Дизайн подсказок с интервалом повторения предназначен для разработки задач для себя в будущем]].
Но основная ''концепция''- автоматическая организация и представление задач в соответствии с некоторым расширяющимся графиком - может быть создан во многих интерфейсах и доменах. Я называю это понятие «[[Всё разнесено]]».
Некоторые примеры:
* [[Поэтапное чтение]]
* [[Своевременный текст]]
* [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]]
* [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]] (списки дел, электронная почта, списки чтения и т. д.)
* [[Readwise]]
Похожее:
* Для приложений, которые могут использовать простой формат карточек SRS, см. [[Необычные приложения систем памяти с интервалом повторения]]
* [[Системы интервального повторения как катехизис]]
* [[Система интервального повторения на уровне ОС]]
!!!Ссылки
Матушак, А. (2019, декабрь).*Серьезно относиться к работе с знаниями*. Представлено в Stripe Convergence, Сан-Франциско.
[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]], и обычно это требует агрессивного сброса предметов с более низким приоритетом. Некоторые примеры:
* архивирование низкоприоритетных электронных писем, чтобы ваш почтовый ящик был разборчивым
* сбрасывание задач отстающего элемента
* закрытие вкладок браузера с пожеланиями, чтобы сохранить управляемый пользовательский интерфейс браузера
* удаление долго непрочитанных PDF-файлов из папки загрузки
Все эти действия кажутся весомыми, потому что они разрушительны. Конечно, если вы закроете вкладку, вы всегда сможете открыть ее позже, но часто боитесь, что если вы закроете ее, вы больше никогда не увидите ее.
Такие разрушительные действия часто не соответствуют тому, что мы на самом деле имеем в виду. Мы часто имеем в виду что-то вроде: если у меня будет светлый день на следующей неделе (т.е. если уровень прибытия низкий), или если у меня будет время в ближайшие несколько вечеров (т.е. если я временно увеличу скорость вылета), я проверю это… но в противном случае я не сделаю этого. Другие вкладки, которые я открыл, гораздо важнее прямо сейчас.
Аналогичным образом, если вы пересматриваете эссе, вы можете столкнуться с интересным абзацем, который на самом деле не принадлежит. Удалять абзац будет разрушительным, и если вы переместите его в раздел «кладбища», вы не верите, что когда-нибудь увидите его снова.
Типичные программные системы чрезмерно формальные. Они настаивают на окончательности, хотя их пользователи обычно думают с точки зрения относительных предпочтений, в зависимости от контекста. С другой стороны, системы, которые явно повторяют «приоритет» и «контекст», как правило, чрезмерно вербны и непригодны для использования. Требуется лучший «основной глагол». Один из примеров возможного решения: [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]].
!!!References
Matuschak, A. (2019, December). Taking knowledge work seriously. Presented at the Stripe Convergence, San Francisco.
Disney приобрела Pixar в 2006 году, и с момента [[своей формы 10-K в 2005 году|https://www.sec.gov/Archives/edgar/data/1002114/000119312506047278/d10k.htm]] она не сообщала о доходах от продаж технологий. В этом году он сообщил, что его доходы от программного обеспечения составляют около 5% от общей выручки. В то время это число не росло: оно было примерно на уровне в период 2003–2005 годов. Между тем, за тот же 3-летний период затраты на НИОКР в области технологий составили 40-50% от общих операционных расходов Pixar.
Так что, по крайней мере, исторически технология была значительным центром затрат для Pixar. Это важно иметь в виду при рассмотрении [[Фильмы и разработка технологий Pixar выступают в виде сопряженных маховиков]].
Один из способов изучить пределы обработки информации человеком - это спросить, сколько информации человек может воспроизвести с помощью наблюдаемых им стимулов. В этой структуре мы можем смоделировать наблюдателя как канал связи, используя инструменты теории информации. Этот рисунок (Поллак, 1953, стр. 422) изображает модель:
[img[54B6FF53-D8F9-4EF4-9637-501FC3D620C7.png]]
Идеальный канал связи может воспроизвести любой ваш ввод. На практике большинство каналов (включая людей) производят больше ошибок, поскольку входные данные содержат больше информации. Поведение обычно асимптотическое: канал отлично передает свой вход до некоторого порога. После этого порога, который мы называем * {пропускной способностью канала} *, корреляция между выходами и входами падает, а общее количество битов передаваемой информации остается постоянным.
Таким образом, для моделирования людей можно использовать эксперименты с человеческим [[Диапазон абсолютного суждения]]. Обзор эмпирических данных Миллера (1956) показал, что пропускная способность человеческого канала для одномерных стимулов составляет около {2,6} бит.
Например, вот рисунок Миллера (1956, стр. 83), использующий экспериментальные данные Поллака (1952, 1953) об абсолютном суждении человека о тонах, переработанный с помощью теоретико-информационного подхода.
[img[input information.png]]
"""
Q. Если вы знаете диапазон абсолютных суждений субъекта (для единичных, одномерных величин), как бы вы оценили пропускную способность их каналов?
A. Емкость канала = log2 (диапазон абсолютного суждения)
Q. Почему диапазон абсолютного суждения связан с пропускной способностью человеческого канала соотношением log2?
A. Пропускная способность канала выражается в битах. Если диапазон абсолютного суждения составляет 8 категорий, вам понадобится log2 (8) битов для представления каждого состояния.
"""
!!!References
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. [https://doi.org/10.1037/h0043158](https://doi.org/10.1037/h0043158) [Miller - The magical number seven, plus or minus two](https://notes.andymatuschak.org/zjfsd9pyxWQAF3HU5k7RAXhRjJBqtMEGKK27)
Pollack, I. (1952). The Information of Elementary Auditory Displays. The Journal of the Acoustical Society of America, 24(6), 745–749. [https://doi.org/10.1121/1.1906969](https://doi.org/10.1121/1.1906969)
Pollack, I. (1953). Assimilation of Sequentially Encoded Information. The American Journal of Psychology, 66(3), 421–435. JSTOR. [https://doi.org/10.2307/1418237](https://doi.org/10.2307/1418237)
Один из распространенных способов решения проблемы пропускной способности канала людей как обработчиков информации, по-видимому, заключается в проведении последовательности более мелких наблюдений, а не единого сложного абсолютного суждения. Это работает, только если вы можете удерживать последовательность в своей голове, поэтому она ограничена вашим объемом рабочей памяти. К счастью, объем рабочей памяти в основном не зависит от сложности элемента. Таким образом, вы можете увеличить эффективную пропускную способность канала, увеличивая количество битов в каждом наблюдаемом чанке ([[«Чанки» в человеческом познании]]).
На этом рисунке, изображающем данные из Pollack (1953), пропускная способность канала увеличивается почти линейно с увеличением количества бит на чанк (Miller, 1956, стр. 92).
[img[D1D6C134-0ADF-461B-A6CB-3207BCE86933.jpg]]
Этот эффект по-прежнему ограничен [[Диапазон абсолютного суждения]], поэтому, чтобы увеличить количество битов-на-чанк выше 5, вам необходимо сделать фрагменты многомерными ([[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]].
Q. Как изменяется пропускная способность человеческого канала для последовательности элементов при увеличении количества битов, передаваемых в каждом элементе?
A. Увеличивается примерно линейно.
Q. Почему имеет значение, что объем рабочей памяти примерно не зависит от объема абсолютной оценки?
A. Это предполагает, что мы можем хранить больше информации в рабочей памяти, увеличивая размер «чанка» элементов, хранящихся в памяти.
!!!References
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. [https://doi.org/10.1037/h0043158](https://doi.org/10.1037/h0043158) [Miller - The magical number seven, plus or minus two](https://notes.andymatuschak.org/zjfsd9pyxWQAF3HU5k7RAXhRjJBqtMEGKK27)
Pollack, I. (1953). Assimilation of Sequentially Encoded Information. The American Journal of Psychology, 66(3), 421–435. JSTOR. [https://doi.org/10.2307/1418237](https://doi.org/10.2307/1418237)
Для одномерных стимулов [[Пропускная способность человека как обработчика информации]] составляет всего пару битов, но в повседневной жизни кажется, что мы обычно воспроизводим гораздо более сложные стимулы, чем это. Одно из объяснений этого несоответствия состоит в том, что пропускная способность человеческого канала {увеличивается} с {размерностью} стимула.
Например, анализ Миллера (1956, стр. 85-87) данных Хейка и Гарнера (1951) и Кунана и Клеммера (неопубликованное сообщение с Миллером) предполагает, что пропускная способность человеческого канала для точек на линии составляет от {3,2 до 3,9 битов. (10-15 категорий)}, тогда как данные Клеммера и Фрика (1953) показывают, что пропускная способность человеческого канала для точек в квадрате составляет около {4,6 бит (~ 24 категории)}.
Рисунок Миллера (1956, стр. 88), обобщающий данные для независимо меняющихся размеров:
[img[F46EFF27-ED01-48BB-BEB4-58C004B4A8DD.png]]
Пропускная способность канала не увеличивается линейно с увеличением числа измерений. Фактически, по мере увеличения размерности пропускная способность канала для любой отдельной переменной надежно {уменьшается} (Miller, 1956, стр. 89) до тех пор, пока {количество категорий, подлежащих оценке, превышает размерность} (Erikson, 1955, стр. 327-329)
Этот эффект сохраняется, даже если добавленные измерения не являются независимыми, например при одновременной корреляции размера, яркости и оттенка с одной переменной пропускная способность канала составляла 4,1 бита по сравнению с 2,7 бита для любого изолированного атрибута (Eriksen, 1955, агрегировано Миллером, 1956, стр. 88).
Миллер предполагает (1956, стр. 91), что этот эффект имеет асимптотику около 10 измерений, но в то время не было никаких доказательств. Halford et al (1998) анализируют промежуточные данные и предполагают, что предел ближе к {4}.
---
!!!References
* Eriksen, C. W., & Hake, H. W. (1955). Absolute judgments as a function of stimulus range and number of stimulus and response categories. Journal of Experimental Psychology, 49(5), 323–332. [https://doi.org/10.1037/h0044211](https://doi.org/10.1037/h0044211)
* Hake, H. W., & Garner, W. R. (1951). The effect of presenting various numbers of discrete steps on scale reading accuracy. Journal of Experimental Psychology, 42(5), 358–366. [https://doi.org/10.1037/h0055485](https://doi.org/10.1037/h0055485)
* Halford, G. S., Wilson, W. H., & Phillips, S. (1998). Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology. Behavioral and Brain Sciences, 21(6), 803–831. [https://doi.org/10.1017/S0140525X98001769](https://doi.org/10.1017/S0140525X98001769)
* Klemmer, E. T., & Frick, F. C. (1953). Assimilation of information from dot and matrix patterns. Journal of Experimental Psychology, 45(1), 15–19. [https://doi.org/10.1037/h0060868](https://doi.org/10.1037/h0060868)
* Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. [https://doi.org/10.1037/h0043158](https://doi.org/10.1037/h0043158)
[[Миллер - Волшебное число семь, плюс или минус два]].
Подсказки в [[Execute Program]] оцениваются на компьютере, поэтому, если читатели делают семантически несущественные опечатки в своих ответах, система отмечает их как неправильные. Эти ложноотрицательные результаты могут сильно раздражать, особенно потому, что уроки Execute Program не открываются до тех пор, пока вы не изучите их предварительные условия. В курсе SQL частота ложноотрицательных результатов достаточно высока, поэтому в начале 2020 года система была изменена так, что неправильные ответы больше не «считаются» ошибочными, если студент в конечном итоге дает правильный ответ. Читатели могут пробовать сколько угодно раз, и интервал следующего обзора будет увеличиваться в соответствии с кривой SRS. Последующие уроки разблокируются независимо от производительности пользователя.
Если пользователь не может дать ответ даже после нескольких попыток, он, наконец, может «сдаться», чтобы увидеть правильный ответ. Если он сдаётся таким образом, то интервал между вопросами уменьшается, как это обычно бывает с забытыми ответами в SRS.
Смотри [[Системы интервального повторения с самооценкой избегают ложноотрицательных результатов]] и [[Самооценка по сравнению с машинной оценкой в системах интервального повторения]].
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Такие подсказки имеют много общих черт с нашими существующими подсказками отзыва:
* Их можно выполнить менее чем за 20 секунд.
* Они не будут чувствовать себя ужасно напряженными
* Они могут быть оценены самостоятельно
* Вероятно, достаточно бинарной оценки
* Им выгоден [[Эффект интервала]] (хотя, возможно, и с другим графиком).
* «Прогресс» можно обоснованно охарактеризовать как «многократное предоставление правильных ответов с увеличивающимися интервалами неиспользования учебы».
* Хотя [[Запросы приложения должны изменяться при повторении]], эти вариации можно разумно сгруппировать в одну сущность «подсказка» / «упражнение», прогресс которой накапливается по мере выполнения его составляющих.
** Обратите внимание, что для этого необходимо, чтобы вариации были в основном взаимозаменяемыми - концептуально измеряя одну и ту же скрытую переменную.
* Одна подсказка не будет очень полезной, но если вы проделаете несколько десятков, вы получите осмысленное обучение.
* Они выигрывают от перемешивания и пакетирования (опять же, возможно, с другими параметрами)
Поскольку опыты с этими типами вопросов во многом совпадают, решения проблем проектирования подсказок к памяти в основном должны применяться к проблемам проектирования простых подсказок приложения. Это говорит о том, что простые подсказки приложения могут быть представлены с небольшой адаптацией в существующей среде обзора [[§Система интервального повторения]].
!!!Функциональные отличия от подсказок отзыва
С точки зрения системы подсказки приложения несколько отличаются от подсказок памяти:
* Система должна каждый раз представлять разные пары вопрос / ответ ([[Запросы приложения должны изменяться при повторении]]), сгруппированные в единую сущность «подсказка» / «упражнение», которая накапливает прогресс.
* В таких подсказках иногда может потребоваться объяснение того, как был получен ответ. Объяснение не является «частью» ответа: читатели должны понимать, что они не должны делать свой ответ неверным, если они нашли его другим способом.
* Если читатели не отвечают на запрос приложения, их не следует просить повторить попытку в том же сеансе. Чтобы сохранить вариацию, при повторной попытке должен отображаться другой вопрос. Это либо возложит на автора гораздо большую нагрузку, либо сделает цикл вариаций намного быстрее. Соответственно: если сгруппированной сущности «подсказка» / «упражнение» не будет предоставлена ее собственная четкая идентификация, пользователь, скорее всего, будет интерпретировать подсказку о повторной попытке как отдельную проблему, а не возможность повторно попытаться решить предыдущую проблему.
Ни одно из этих различий не имеет большого значения.
!!!Повествовательное значение для мнемонической среды
Хотя функциональные различия относительно невелики, эти подсказки заставляют нас изменить то, как мы описываем [[Мнемоническая среда]], как мы формулируем наши призывы к действию, как мы описываем прогресс и так далее.
На практике это означало:
* изменение «почти без усилий запоминать то, что вы читаете», на «почти без усилий запоминать и применять то, что вы читаете»
* используя более общие формулировки в копии пути пользователя, например:
** «Ты вспомнил» -> «ты смог ответить»
** «Запомнить» -> «правильно ответить»
** «Укрепить память о материале» -> «укрепить понимание материала»
** так далее
[[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]]. Одна из вероятных причин заключается в том, что спортсмены / музыканты занимаются [[Целенаправленная практика, после Ericsson and Pool]], то есть деятельностью, направленной конкретно на улучшение навыков.
Несомненно, работники умственного труда регулярно используют «возможности для роста», например новую работу, которая подталкивает их к выходу за рамки их прежних навыков. Но их повседневная деятельность сосредоточена на выполнении работы, а не (обычно) на развитии каких-либо навыков. Это похоже на футболиста, который играет в игры только для того, чтобы набрать форму, а не поднимать тяжести и выполнять упражнения. [[Типичная рабочая и производственная среда не является преднамеренной практикой]].
Эрикссон утверждает (2016, стр. 98), что целенаправленная практика интеллектуального труда невозможна, потому что нет объективных критериев (а значит, плохая обратная связь), потому что навыки не определены четко, и потому что методы целенаправленного улучшения навыков в этих домены не известны. Я скептически отношусь к окончательности этих утверждений, учитывая, например, что [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]], [[Системы памяти с интервалом повторения делают выбор в пользу памяти]] и т. д. Но это правда, что, по крайней мере, на данный момент нет ничего так же просто, как тяжелая атлетика, что вы можете сделать, чтобы улучшить свои коммуникативные навыки.
Существует значительная напряженность между этой линией рассуждений и [[Благоприятная среда сосредоточена на том, что включено]] / [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. В этих статьях, казалось бы, утверждается, что первоклассные академии тенниса и фортепиано не создают благоприятных условий… что почти наверняка неверно. Также существует потенциальная напряженность в том, [[Как мы можем расположить инструменты для размышления в внутренне значимых контекстах?]]?
См. также [[§Серьезно относиться к работе со знаниями (разговор о конвергенции Stripe, 12.12.2019)]]
---
!!!References
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]].
[[Nielsen, M. A. (2004). Principles of effective research (Technical Note No. 0404). The University of Queensland]]
::Многие люди не уделяют достаточно времени саморазвитию. Если вы остановите разработку на уровне, на котором была написана ваша первая статья, вряд ли вы решите какие-либо серьезные проблемы. Более реалистично, для многих людей саморазвитие - это случайность, что-то, что происходит, когда они на беговой дорожке пытаются решать проблемы, создавать документы и так далее, или во время обучения. Несмотря на то, что такие люди будут развиваться, маловероятно, что такой случайный подход позволит им решать самые важные проблемы.
Разработка интерфейса, написание убедительного вступительного предложения и постановка диагноза - многие типы [[Интеллектуальный труд]] зависят от циклов создания возможностей, их отбора и повторения на основе наблюдений или обратной связи.
Как ни странно, мой опыт в дизайне и проектировании показывает, что эксперты лучше создают возможности в нужных «регионах», быстро отбирают возможности, которые вряд ли сработают, и обновляют свой поиск на основе наблюдений / отзывов. Одно из возможных объяснений: [[Опыт требует построения сложных схем перекодирования чанков]].
Один из моих любимых способов общения творческих людей - «работать с открытой дверью гаража», напевать на отрывок из Робина Слоана (ниже). Это противоположность учетной записи Twitter, в которой в основном публикуются объявления о завершенной работе: это [[Screenshot Saturday|https://twitter.com/hashtag/screenshotsaturday?lang=en]]; он читает лекцию о проблемах, над которыми вы думаете в душе; он вслух размышляет о том, как ваш проект вообще не работает. Это так много Twitch. Я хочу увидеть процесс. Я хочу увидеть, как ты подрезаешь артишок. Я хочу видеть, как вы выбираете цветовую палитру. [[Антимаркетинг]].
Мне лично нравится такой вид общения, но я подозреваю, что он также создает больше заинтересованных и интересных подписчиков в долгосрочной перспективе. Это также способ избежать проблем, описанных в разделе [[Избавьтесь от внутренней коррупции]].
!!!Ссылки
Я бы хотел, чтобы начать физический бизнес было проще; Хотелось бы, чтобы тропа не была такой крутой, особенно в таких местах, как Bay Area; потому что я считаю, что это одно из лучших, что может сделать человек. Помимо прочего, физический бизнес оживляет общественное пространство, делая простое и красноречивое заявление: я здесь, работаю.
К северу от нас находится научная мастерская по выдуванию стекла; Я часто прохожу мимо него по тротуару. Просто существуя и имея красивую вывеску, выходящую на улицу, они каждый день выполняют небольшую общественную услугу. Мы здесь, работаем.
В том же комплексе легкой промышленности, что и Медиа-лаборатория на Мюррей-стрит, есть деревообрабатывающий цех, и человек, который им управляет, всегда держит дверь открытой. Просто как тот. Какое удовольствие каждый чертов день проезжать на моем велосипеде мимо этой двери, заглядывать внутрь и видеть все его инструменты, доски, сложенные в стопку для любого поручения, которое он берет на себя. Я здесь, работаю.
Отчасти проблема социальных сетей заключается в том, что нет эквивалента вывеске ученых стеклодувов, открытой двери плотника или сэндвич-досок Дафны и Джесси. В Интернете, если вы перестанете говорить, вы исчезнете. И, как следствие: в Интернете вы замечаете только людей, которые говорят без остановки.
Если бы вы могли надеть волшебные интернет-очки, которые позволили бы вам увидеть сквозь эту корявую предвзятость выбора и справедливо, правильно увидеть композицию реальности - ну, просто прогуляйтесь по Эмеривиллю и Западному Беркли. Вот так бы выглядело! Весь шум Твиттера превратится в одно странное кафе - всего лишь пятнышко в огромном городе, целиком состоящем из тихо работающих людей.
Интересно отметить, что Робин в каком-то смысле ищет [[Периферийное зрение]] в этом стремлении.
[[Игры эффективно развивают навыки игроков]], но в этом не суть опыта: навыки случайны для неразрывно значимых целей - эстетических, социальных, повествовательных и т. д. Истинная цель - эстетическая, а не практичная: [[Игра - это эстетическое средство действия]]. И эта эстетика, как правило, руководствуется фразой [[«Найди развлечение»]].
Развитие навыков - средство для достижения этих целей: я хочу научиться летать, потому что это красиво. Развитие навыков также является естественным побочным продуктом этих целей: я лучше летаю, потому что окружающая среда содержит сложные платформы, до которых мне трудно добраться.
Разработчики [[Обучающие игры]] игнорируют это наблюдение и делают основной целью развитие навыков. Иногда игроку ставят какую-то другую якобы цель («побить рекорд!»), но это тонкий слой; очевидно, это не главное внимание дизайнеров. Такие игры подрывают их собственные цели: [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].
!!!References
Victor Bret
Думаю, вы определенно правильно поняли, думая о занятиях с концепцией «веса». Но я думаю, что чрезмерное внимание к «обучаем ли мы этим концепциям, изучаем ли дети эти концепции» приводит к снисходительным конструкциям, которые не могут быть ни интересными, ни образовательными. …
Возможно, вместо этого, дизайн-действия, в которых концепции имеют вес, но сосредоточены на том, чтобы сделать деятельность интересной и радостной как для дизайнера, так и для игрока. Спросите себя: «Люблю ли я сам с этим играть?» И поверьте, что игроки, проводя часы с этими концепциями «в руках», приобретут то, что они знакомы, затем беглость, а затем понимание, которое сложно создать в явном виде.
Чтобы построить мышечную ткань, вы должны протолкнуть гомеостатические механизмы вашего тела за их нормальную способность компенсировать, после чего ваше тело укрепит ваши мышцы, чтобы восстановить гомеостаз. Наши неврологические структуры, похоже, реагируют аналогичным образом, адаптируя сети соединений, чтобы облегчить часто используемые маршруты (Barnes and Finnerty, 2010).
Поэтому, если вы хотите развить навык, вам нужно бросить вызов гомеостазу. Вступая в «новую норму» за пределы вашей текущей зоны комфорта, ваше тело отреагирует, облегчая это состояние. В этот момент «новая норма» станет новой установкой гомеостаза, поэтому вам нужно будет еще больше подтолкнуть себя, чтобы продолжать расти (см. [[Преднамеренная практика]]).
Приводит ли нарушение гомеостаза к регрессу?
{Вуллетт и др.} ({2009}) обнаружили, что работа вышедших на пенсию лондонских таксистов на навигационных задачах {беднее, чем у штатных лондонских таксистов, но больше, чем у контролируемых субъектов}.
!!!Ссылки
Барнс, С. Дж. и Финнерти, Дж. Т. (2010). Сенсорный опыт и пересветриние коры. Нейробиолог, 16(2), 186–198. https://doi.org/10.1177/1073858409343961
Ericsson, A., & Pool, R. (2016).*Пик: Секреты новой науки об экспертизе*(1 издание). Имон Долан/Хоутон Миффлин Харкорт. [[Пик - Ericsson and Pool|https://notes.andymatuschak.org/z6Sx5DSLp1Jdt4wqvN36Xvregj6mQnCnFopmy]]
//Оригинал с рисунками в Bear//
!!!Абстракция
Истощение ограниченных ресурсов рабочей памяти может произойти после значительных умственных усилий, что приведет к снижению производительности по сравнению с условиями, требующими менее значительных умственных усилий. Этот «эффект истощения» может быть включен в теорию когнитивной нагрузки, которая связана с использованием свойств когнитивной архитектуры человека, особенно рабочей памяти, при разработке инструкций.
Было проведено два эксперимента по изучению эффекта интервала, который возникает, когда обучение, разделенное временными промежутками между учебными эпизодами, превосходит идентичное массовое обучение без промежутков между учебными эпизодами. Используя учащихся начальной школы, изучающих математику, было обнаружено, что учащиеся получили более низкие баллы в тесте на объем рабочей памяти (эксперименты 1 и 2) и более высокие оценки когнитивной нагрузки (эксперимент 2) после массовых занятий, чем после интервальных занятий. Уменьшение объема рабочей памяти может быть связано с истощением ресурсов рабочей памяти после относительно продолжительных умственных усилий, связанных с массированной по сравнению с интервальной практикой. Обсуждается расширение теории когнитивной нагрузки с целью включения истощения ресурсов рабочей памяти вместе с последствиями для учебного дизайна, включая эффект интервалов.
//Ключевые слова: теория когнитивной нагрузки, когнитивная архитектура человека, истощение ресурсов рабочей памяти, эффект распределения ресурсов.//
Истощение ресурсов происходит, когда когнитивные усилия при выполнении одной задачи снижают производительность более поздней задачи из-за того, что первая задача истощает ресурсы, доступные для выполнения второй задачи. В частности, истощение ресурсов рабочей памяти происходит, когда две задачи имеют схожие когнитивные компоненты, а снижение производительности второй задачи связано с уменьшением объема рабочей памяти. Истощенные ресурсы можно восстановить после периодов отдыха (например, Tyler & Burns, 2008).
Наша теоретическая цель - предположить, что теорию когнитивной нагрузки можно существенно расширить, включив в нее истощение ресурсов рабочей памяти. Наша эмпирическая цель - применить это расширение к эффекту интервалов, таким образом объяснив эффект интервалов и включив его как эффект теории когнитивной нагрузки. Эффект интервалов возникает, когда обработка информации с интервалами на более длительные периоды (интервальное представление) приводит к превосходным характеристикам теста по сравнению с той же информацией, обработанной в течение более коротких периодов (массовое представление). В обоих случаях объем представленной информации и общее время обработки информации идентичны. Единственное отличие состоит в том, что интервальные условия включают в себя один или несколько временных промежутков между сегментами обрабатываемой информации, в то время как в групповых условиях вся информация представлена последовательно без промежутков.
Мы начнем с обсуждения истощения ресурсов рабочей памяти, а затем его последствий для теории когнитивной нагрузки и того, как эту теорию, усиленную включением истощения ресурсов, можно использовать для объяснения эффекта интервалов. Для проверки предложенного объяснения было проведено два эксперимента.
!!!Истощение ресурсов оперативной памяти
Нам известно об очень небольшом количестве работ, в которых непосредственно исследовалось влияние когнитивных усилий на истощение рабочей памяти. Кроме того, доступная ограниченная работа не связана с когнитивными усилиями во время обучения. Соответствующее исследование, которое мы смогли найти, было проведено Шмейхелем (2007).
Он провел четыре эксперимента, с экспериментами 1, 2 и 4, исследуя истощение ресурсов, предлагая студентам старших курсов сложные задачи и оценивая последующее влияние на объем рабочей памяти. Эксперимент 1 показал, что просьба игнорировать нерелевантные слова, появляющиеся на экране, изображающие человека, говорящего без звука, уменьшала объем их рабочей памяти по сравнению с людьми, которых не просили игнорировать нерелевантные слова. Активно пытается игнорировать слова, задача сложная, ресурсы истощены. Эксперимент 2 просил людей написать рассказ, не используя букв a или n, и сравнивал их с людьми, которых аналогичным образом просили написать рассказ, но без ограничения избегания двух букв. Оценка производительности в последующем тесте емкости рабочей памяти показала, что написание рассказа с ограничением снижает объем рабочей памяти по сравнению с написанием рассказа без ограничения. Результаты показывают, что усилия, затраченные на написание истории в ограниченном состоянии, истощили ресурсы рабочей памяти больше, чем усилия, затраченные на неограниченное состояние. Наконец, в эксперименте 4 сравнивали людей, которых просили преувеличить свои эмоциональные реакции при просмотре эмоциональных фильмов, с людьми, которые просто смотрели фильмы. Усилия, связанные с преувеличением эмоциональных реакций, истощали ресурсы рабочей памяти больше, чем выражение нормальных эмоций.
Эти эксперименты убедительно доказали, что увеличение когнитивных усилий истощает ресурсы рабочей памяти. Ни одна из задач не была учебной, но кажется разумным предположить, что условия обучения, требующие увеличения когнитивных усилий или увеличения когнитивных усилий с течением времени, будут иметь аналогичный эффект на истощение ресурсов рабочей памяти. Есть предыдущая работа, в которой были получены результаты в соответствии с исследованием Schmeichel (2007), но не использовалась мера объема рабочей памяти в качестве зависимой переменной. Schmeichel, Vohs и Baumeister (2003) использовали независимые переменные, аналогичные Schmeichel (2007), но вместо использования объема рабочей памяти в качестве зависимой переменной использовали производительность в задачах рассуждения, решения проблем или понимания прочитанного. Результаты показали, что в условиях истощения ресурсов производительность этих задач ухудшалась. В свете последующего исследования Schmeichel (2007), возможно, уместно предположить, что снижение производительности теста после истощения ресурсов было связано с уменьшением объема рабочей памяти.
В то время как исследования Шмейхеля и его коллег обнаружили общие эффекты истощения, показав, что участие в задачах самоконтроля может снизить производительность при последующих тестах, Хили, Хашер и Данилова (2011) расширили эти результаты, предоставив доказательства более конкретных эффектов истощения рабочей памяти. Они варьировали сходство между стимулами, которые следовало игнорировать в начальной задаче, и теми, которые нужно было запомнить в последующей задаче на рабочую память.
В четырех экспериментах авторы заметили, что игнорирование слов ухудшает производительность в последующем тесте рабочей памяти, основанном на словах (эксперимент 1), но не на стрелках (эксперимент 2), тогда как игнорирование стрелок ухудшает производительность в тесте рабочей памяти, основанном на стрелках (эксперимент 3 ), но не на словах (Эксперимент 4). Таким образом, Healey et al. (2011) показали, что эффекты истощения возникали только тогда, когда было соответствие между стимулами, которые нужно игнорировать в первом задании, и стимулами, которые нужно запомнить в задании на рабочую память. Опять же, хотя эти эффекты истощения были вызваны когнитивной обработкой, ни одна из задач
обработки не включала обучение.
Интересно, что снижение производительности сложных задач в результате умственных усилий, обнаруженное Schmeichel et al. (2003) не распространялся на простые задачи. В отличие от сложных заданий не было никакого эффекта на задание на запоминание бессмысленных слогов. Учитывая центральную роль интерактивности элементов в теории когнитивной нагрузки, получение эффекта с использованием высокой интерактивности элементов, но не задачи с низкой интерактивностью элементов, результат, неоднократно полученный в экспериментах с использованием теории когнитивной нагрузки (см. Следующие разделы), предполагает связь между ресурсами рабочей памяти. теория истощения и когнитивной нагрузки. Эта предлагаемая увязка дает основной импульс текущей работе.
Таким образом, наша цель - расширить теорию когнитивной нагрузки, добавив к теории истощение ресурсов. Это добавление может иметь общие учебные последствия, но в данной статье мы будем использовать эффект интервала только для проверки целесообразности добавления истощения ресурсов в теорию когнитивной нагрузки.
!!!Теория когнитивной нагрузки
Теория когнитивной нагрузки - это теория обучения, основанная на наших знаниях эволюционной педагогической психологии и ее связи с когнитивной архитектурой человека (Sweller, Ayres, & Kalyuga, 2011). Теория использует разделение Гири биологически первичной и биологически вторичной информации (Geary, 2008, 2012; Geary & Berch, 2016) для определения категорий знаний, которые поддаются учебному дизайну (Paas & Sweller, 2012; Sweller, 2016a). Первичные знания - это знания, ведущие, например, к нашей способности решать проблемы, саморегулировать свои мысли или учиться слушать и говорить на своем родном языке, который мы развивались, чтобы усвоить на протяжении многих поколений. Такие знания, как правило, носят общий когнитивный характер, а не предметно-ориентированные (Sweller, 2015), и они критически важны для нашей базовой когнитивной психологии.
Из-за его эволюционной важности мы эволюционировали, чтобы приобретать его автоматически и бессознательно, без явного обучения, и поэтому он, как правило, не поддается обучению. Напротив, биологически вторичные знания включают информацию, которую определенная культура считает важной. Мы можем получить вторичные знания посредством сознательных усилий со стороны учащегося и четких инструкций со стороны учителей или других инструкторов (Kirschner, Sweller, & Clark, 2006; Sweller, Kirschner, & Clark, 2007). В отличие от общих когнитивных навыков, которые обычно являются биологически первичными, вторичные навыки обычно зависят от предметной области (Tricot & Sweller, 2014). Практически каждая тема, которая преподается в учебных заведениях и учебных заведениях, представляет собой пример биологически вторичных знаний и навыков.
Теория когнитивной нагрузки в значительной степени связана с приобретением предметной, биологически вторичной информации, которая является предметом образовательных и учебных программ. Информационные процессы, относящиеся к теории когнитивной нагрузки, имитируют информационные процессы эволюции путем естественного отбора (Kirschner et al., 2006; Sweller et al., 2007; Sweller & Sweller, 2006) и предоставляют когнитивную архитектуру, используемую теорией (Sweller, 2016b).
!!!Когнитивная архитектура
[[Когнитивный каркас]] - todo связать c этой заметкойи проработать сам термин
Эту архитектуру можно описать следующими пятью основными принципами. Эти принципы являются биологически первичными, поэтому им нельзя научить, потому что они усваиваются автоматически.
# Принцип хранилища информации. Вся усвоенная информация, как первичная, так и вторичная, сохраняется в долговременной памяти. Хранилище долговременной памяти очень велико и ''не имеет известных ограничений.''
# Принцип заимствования и реорганизации. Большая часть информации, хранящейся в хранилище долговременной памяти, заимствуется у других людей путем копирования того, что они делают, слушания того, что они говорят, и чтения того, что они пишут. После получения информация реорганизуется путем объединения ее с ранее сохраненной информацией.
# Случайность как принцип генезиса. Информация, которую нельзя получить от других, может быть получена во время решения проблем с использованием случайной генерации и процессов тестирования. Информация может сохраняться в долговременной памяти, если она полезна, или отбрасываться, если она бесполезна.
# Принцип узких границ изменения. Чтобы сохранить содержимое долговременной памяти, в любой момент времени можно обрабатывать только очень ограниченные объемы новой информации. Соответственно, новая информация из внешней среды обрабатывается рабочей памятью, которая сильно ограничена как по емкости, так и по продолжительности, в течение которой она может хранить информацию.
# Принцип экологической организации и связывания. На основе сигналов окружающей среды неограниченное количество информации может быть перенесено из долговременной в рабочую память, чтобы вызвать действие, соответствующее преобладающей среде. При работе с информацией, ранее организованной и хранящейся в долговременной памяти, **нет известных ограничений рабочей памяти**.
Эта когнитивная архитектура, основанная на биологически первичной информации, используется для получения, организации и хранения биологически вторичной информации для последующего использования. Таким образом, он обеспечивает когнитивную основу для учебного дизайна.
Цель обучения - помочь учащимся приобрести новые, предметно- ориентированные, вторичные биологически знания, предназначенные для хранения в долговременной памяти. Чтобы сохранить в долговременной памяти, новая информация сначала должна быть обработана в рабочей памяти, емкость которой сильно ограничена при обработке новой информации.
!!!Интерактивность элемента и познавательная нагрузка
Новая информация варьируется в зависимости от континуума интерактивности элементов, где интерактивность элементов относится к количеству элементов, которые должны обрабатываться одновременно (Sweller, 2010).
Взаимодействующие элементы должны обрабатываться одновременно в рабочей памяти. Например, если вы учитесь работать с математическим уравнением, все символы, составляющие это уравнение, должны обрабатываться одновременно, поскольку большинство изменений влияет на все уравнение. При обработке математического уравнения интерактивность элементов высока, поэтому нагрузка на рабочую память высока. Напротив, если изучается новый словарный запас, каждый элемент может быть изучен без ссылки на какой-либо другой элемент.
Интерактивность элементов и нагрузка на рабочую память невелики, хотя задача может оказаться сложной, если словарный запас много. Такая интерактивность элементов, вызванная внутренними свойствами информации, накладывает внутреннюю когнитивную нагрузку. Точно так же интерактивность элементов, связанная с одной и той же информацией, может варьироваться в зависимости от используемых учебных процедур, таким образом варьируя постороннюю когнитивную нагрузку. Различные учебные процедуры могут увеличивать или уменьшать количество элементов, которые необходимо одновременно обрабатывать (Sweller, 2010). Основная цель теории когнитивной нагрузки состояла в том, чтобы разработать инструкции, направленные на снижение уровней интерактивности элементов, обусловленных учебными процедурами. **Когда интерактивность элементов снижается за счет изменения учебных процедур, касающихся одной и той же информации, посторонняя когнитивная нагрузка снижается**.
Неявное предположение теории когнитивной нагрузки, основанное на принципе узких границ изменения, заключалось в том, что объем рабочей памяти относительно постоянен, и единственным важным фактором, влияющим на емкость, является содержание долговременной памяти. Как показывает принцип организации и связывания среды, ограничения рабочей памяти при работе с новой информацией могут быть устранены, если та же самая информация хранилась в долговременной памяти. Информация с высокой интерактивностью элементов, однажды сохраненная в долговременной памяти, может быть передана в рабочую память как **единый элемент**, который накладывает минимальную нагрузку на рабочую память. Основываясь на гипотезе истощения ресурсов рабочей памяти, исследованной в настоящей работе, предположение о том, что содержимое долговременной памяти является единственным важным фактором, определяющим характеристики рабочей памяти, может быть несостоятельным.
Возможно, что обширные когнитивные усилия могут существенно истощить ресурсы рабочей памяти, и если это так, этот фактор может быть важным при разработке инструкций. Это возможное расширение теории когнитивной нагрузки служит обоснованием для текущих экспериментов. В этих экспериментах эффект интервала использовался для исследования возможных последствий истощения ресурсов рабочей памяти для обучения.
!!!Эффект интервала
Эффект интервала возникает, когда информация, которая представлена в течение более длительного периода с промежутками между эпизодами презентации, приводит к лучшему обучению по сравнению с идентичной информацией, представленной в течение более короткого периода без перерывов. Эффект иногда называют эффектом массированного или разнесенного. Это хорошо установлено с очень большим количеством повторений на протяжении многих десятилетий, восходящих к истокам экспериментальной психологии (Ebbinghaus, 1885/1964). Две недавние статьи, имеющие отношение к образованию, см. В Gluckman, Vlach, and Sandhofer (2014) и Kapler, Weston и Wiseheart (2015).
Существует множество теорий, используемых для объяснения эффекта интервала, но не существует единого мнения, подтверждающего какую-либо конкретную теорию (см. Küpper-Tetzel, 2014), хотя Delaney, Verkoeijen и Spirgel (2010) в обширном обзоре отдают предпочтение теории поиска (::todo что имеется в виду под теорией поиска? Что-то типа поиска инфо самостоятельно и это будет эффективно для запоминания?::) на этапе исследования. Эта теория предполагает, что промежутки между учебными мероприятиями во время разнесенной практики увеличивают забывание по сравнению с массированной практикой. Как следствие, на следующем обучающем мероприятии для разнесенного обучения требуется более трудоемкий поиск, чем при массовом обучении, что способствует сохранению памяти, поддерживая более активный поиск. Эта теория правдоподобна, хотя дать ей прямые доказательства сложно. Конечно, вполне возможно, что эффект интервала имеет несколько причин.
Мы полагаем, что истощение ресурсов рабочей памяти является убедительным кандидатом для объяснения по крайней мере некоторых версий эффекта интервала. Если массовая практика является непрерывной, мы можем ожидать, что истощение ресурсов рабочей памяти приведет к сокращению обучения во время практических занятий по сравнению с обучением с интервалом, что приведет к эффекту интервалов. Прямые доказательства этой гипотезы могут быть получены путем тестирования емкости рабочей памяти учащихся после массового или разнесенного обучения и непосредственно перед проведением теста содержания.
Мы проверили эту гипотезу в двух экспериментах с учащимися начальной школы, изучающими математику. Было предсказано, что объем рабочей памяти будет уменьшен массированным по сравнению с разнесенной практикой, и что это сокращение объема рабочей памяти будет связано с эффектом разнесения. Ожидалось, что более сильное истощение ресурсов рабочей памяти после массовых тренировок приведет как к более низким показателям производительности (эксперименты 1 и 2), так и к более высоким оценкам воспринимаемой сложности в тесте емкости рабочей памяти (эксперимент 2). Учитывая исследование Healey et al. (2011), которые показали истощение только схожими стимулами, в обоих экспериментах мы использовали аналогичные математические изображения для практических задач, тестов рабочей памяти и тестов содержания.
!!!Эксперимент 1
Это исследование было проведено в качестве первоначального исследования связи между эффектом интервалов и истощением рабочей памяти. Цель состояла в том, чтобы проверить гипотезу о том, что эффект разнесения вызван истощением рабочей памяти после массированной по сравнению с разнесенной практикой. Соответственно, мы предсказали, что массовое обучение приведет к более низким результатам тестирования контента, чем интервальное обучение, и что тест рабочей памяти, непосредственно предшествующий тесту контента, выявит большее истощение рабочей памяти для групповой группы, чем для «интервальной» группы.
!!!Методика
Участники. Из начальной школы в городском районе Чэнду, Китай, были выбраны два класса, в общей сложности 85 учеников 4-го класса со средним возрастом примерно 10 лет. Оба класса вел один и тот же учитель математики. Используя квази-экспериментальный план, один класс был назначен для массового обучения, а другой - для условий интервального обучения. Тринадцать студентов из условия массового обучения и 18 из условия разнесенного обучения были исключены из окончательного анализа, потому что они записывали задания на бумаге для последующего использования, а не запоминали информацию во время теста рабочей памяти. Таким образом, для анализа были использованы данные оставшихся 54 студентов (30 в групповом и 24 в разнесенных). Учащиеся и учителя двух классов не знали цели этого эксперимента. Содержание урока требовало от учащихся научиться складывать две положительные дроби с разными знаменателями, что ранее не изучалась в классе.
!!!Материалы
Материалы включали слайды для представления информации о сложении дробей, которую необходимо усвоить, тест рабочей памяти с листом ответов для этого теста и заключительный тест содержания знаний о сложении дробей. Учебные слайды состояли из трех проработанных примеров - пар решения задач в области алгебры, специально посвященных тому, как сложить две положительные дроби с разными знаменателями. Пример отработанного примера - пара решения проблемы показан на рисунке 1.
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Для каждой пары ученикам был представлен пример, показывающий все шаги решения, за которым последовала аналогичная задача, в которой им было предложено «вычислить следующее алгебраическое выражение», которое необходимо было решить. Все три рабочих примера - пары для решения задач были представлены в виде слайдов Microsoft PowerPoint 2016 на экране перед классом. Для каждой пары проработанный пример и задачи по решению проблем были представлены на разных слайдах, поэтому учащиеся не могли ссылаться на проработанный пример при решении парной задачи. Для обоих условий после того, как студенты попытались решить проблему, был предоставлен окончательный ответ без шагов к ответу. Каждый из 6 полученных слайдов был представлен в течение 150 с, что привело к общей продолжительности 900 с.
На основе исследования Conlin, Gathercole и Adams (2005) был разработан комплексный тест рабочей памяти для детей с использованием слайдов PowerPoint. Этот тест рабочей памяти состоял из задачи памяти, прерванной задачей обработки. В этом случае задача памяти заключалась в том, чтобы запомнить первую цифру данного уравнения, в то время как задача обработки заключалась в том, чтобы ответить, показало ли это уравнение правильное или неправильное решение (см. Пример на рисунке 2).
В тесте было четыре уровня сложности по три попытки в каждом, всего 12 испытаний. Уровни варьировались от трех до шести (уровень 3 включал три уравнения на испытание, а уровень 6 включал шесть уравнений на испытание). Как показано в примере уровня 3 на рисунке 2, после наблюдения за уравнением 1 участники указали, было ли решение показанного уравнения правильным или неправильным (отметив счастливое или грустное лицо, соответственно), запомнив первую цифру числа. уравнение. Затем было показано уравнение 2, студенты ответили, правильно оно или нет, запомнив первую цифру и так далее. В конце каждого испытания участники должны были записать по памяти все первые цифры уравнений в том порядке, в котором они были показаны. 27-страничный буклет (формат A4, напечатанный односторонний) был разработан для
студентов, чтобы они могли записывать свои ответы. Для каждого испытания учащиеся использовали отдельные страницы, чтобы указать точность уравнений и запомненные первые цифры уравнений.
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Как было предложено Unsworth, Heitz, Schrock, and Engle (2005), мы измерили производительность как в задачах памяти, так и в задачах обработки. Таким образом, одно очко начислялось за каждую точно запомненную первую цифру (в правильном порядке), и одно очко начислялось за точно оцененное уравнение. Другими словами, мы следовали рекомендации Conway et al. (2005) против оценки диапазона и подсчитали каждую правильную цифру, которую точно запомнили. Для каждого испытания, было ли каждое уравнение, представленное учащимся, правильным или неправильным, определялось случайным образом с ограничениями, согласно которым не менее одной трети уравнений были правильными или неправильными для данного испытания и что половина уравнений была правильной для всего теста. Внутренняя согласованность, оцененная с помощью коэффициента альфа Кронбаха, составила 0,96 для запомненных цифр и 0,88 для обработанных уравнений. После фазы обучения был проведен заключительный тест содержания с пятью задачами, например, рассчитайте 1/2 + 1/3. Для всех задач ученики должны были сложить два положительных результата дроби с разными знаменателями. Для решения проблемы требовалось четыре шага. Каждый правильный шаг отмечался одним баллом, в результате чего максимальная оценка за каждую задачу составляла 4 балла, а за все последующее тестирование из 5 задач - 20 баллов. Все исходные оценки были преобразованы в процент правильных оценок для анализа. [[Альфа Кронбаха — Википедия|https://ru.wikipedia.org/wiki/%D0%90%D0%BB%D1%8C%D1%84%D0%B0_%D0%9A%D1%80%D0%BE%D0%BD%D0%B1%D0%B0%D1%85%D0%B0)]] для этого пост-теста контента была 0,98.
!!!Процедура
Общая процедура включала три фазы: обучение, тест рабочей памяти и пост-тест (см. Рис. 3). Единственная разница между пространственными и массированными условиями заключалась в фазе обучения. В массовом режиме (класс A на рис. 3) учащимся были представлены учебные материалы в течение 900 секунд, после чего был проведен тест на рабочую память еще примерно на 900 секунд. Наконец, в течение последних 600 с проводился пост-тест. Полное вмешательство при массовом заболевании длилось около 40 минут и проводилось в рамках учебного времени обычного класса. В условиях с интервалом (класс B на рис. 3) вмешательство растянулось на четыре дня. В каждый из первых трех дней студенты должны были изучить один рабочий пример и затем решить аналогичную задачу за 300 секунд. Следовательно, общее время обучения составило 900 с. На четвертый день проводился тест на рабочую память (900 с) и пост-тест (600 с).
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Для теста рабочей памяти был представлен слайд с общими инструкциями на 60 секунд, чтобы дать инструкции о том, как выполнять этот тест, за которым следовало практическое задание в течение еще 60 секунд. В тесте каждое уравнение каждого испытания показывалось в течение 5 секунд, а затем еще 5 секунд, чтобы учащиеся сразу же обводили счастливое или грустное лицо, чтобы указать, было ли каждое уравнение правильным или неправильным, соответственно. Для каждого испытания сразу после того, как была указана точность последнего уравнения, ученики должны были записать запомненные первые цифры по порядку, с выделением 2,5 с для каждой цифры. Общее время теста рабочей памяти составило 900 с для обоих условий.
!!!Результаты и обсуждение
Для анализа данных использовались три ANOVA, в которых условие (объединенное или разнесенное) было независимой переменной с использованием межгруппового анализа. Зависимыми переменными были (а) баллы по запомненным цифрам теста рабочей памяти (б) количество правильно классифицированных уравнений в тесте рабочей памяти и (в) оценки содержания после теста. Средние проценты и стандартные отклонения для этих зависимых переменных в зависимости от двух условий показаны в таблице 1.
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Влияние условия было значительным для запомненных цифр рабочей памяти для классифицированных уравнений 2 теста рабочей памяти было значительным, F (1,
52) = 8,314, MSE = 200,20, p = 0,006, η𝑃𝑃 = 0,138. Опять же, влияние условия было значительным для пост-теста, F (1, 52) = 6,305, MSE = 1793,71, p = 0,015, η𝑃𝑃 = 0,108.
Эти результаты показали, что учащиеся в условиях с интервалом запомнили больше цифр, правильно классифицировали больше уравнений и набрали более высокие баллы на заключительном тесте, чем учащиеся в условиях группировки.
Цель эксперимента 1 состояла в том, чтобы проверить гипотезу о том, что на истощение ресурсов после когнитивных усилий влияет истощение рабочей памяти и что эффект интервалов, в свою очередь, был вызван различными эффектами истощения рабочей памяти после пространственного, а не массового обучения.
Результаты подтвердили эту гипотезу. Мы воспроизвели эффект разнесения и, что более важно, указали, что он был связан с уменьшением ресурсов рабочей памяти для учащихся, представивших информацию в массовых, а не разнесенных условиях.
Непосредственно перед тестом содержимого у массового условия было значительно меньше ресурсов рабочей памяти, чем у разнесенного условия.
Однако с этим экспериментом были связаны две процедурные проблемы. Первая проблема заключалась в том, что в эксперименте использовался квази-экспериментальный план, а не полностью рандомизированный контролируемый эксперимент. Целые классы использовали в качестве экспериментальных групп.
Для сохранения экологической значимости детей, изучающих реальные учебные материалы, было невозможно использовать рандомизацию. Мы облегчили эту проблему в эксперименте 2, используя уравновешенный дизайн, который может уравнять любые различия между классами.
Вторая проблема заключалась в несоблюдении 31 студентом необходимой процедуры теста рабочей памяти. Указывая, было ли уравнение правильным или неправильным, эти студенты также записывали первое число уравнения, избавляя от необходимости запоминать его, поскольку требовалось задание на запоминание. Эти студенты были исключены из анализа данных. Эта проблема также была исправлена путем изменения процедуры эксперимента 2.
!!!Эксперимент 2
Как и в случае с экспериментом 1, основная задача эксперимента 2 заключалась в том, следует ли модифицировать теорию когнитивной нагрузки, чтобы включить истощение ресурсов в качестве фактора при рассмотрении емкости рабочей памяти, вместо того, чтобы предполагать фиксированный объем рабочей памяти для каждого человека. Эффект интервала снова использовался для исследования этой проблемы, рассматривая связь между дистанционным обучением и истощением ресурсов рабочей памяти с той же гипотезой, что и в эксперименте 1.
В эксперименте 2 учащиеся 5-го класса, изучающие алгебру, тестировались с двумя целыми классами. Было изучено два отдельных раздела алгебры с использованием уравновешивания, чтобы уменьшить влияние возможных классовых различий. Для первой области, изучаемой на неделе 1, классу A был представлен материал в форме большого количества, в то время как классу B был представлен материал в разнесенной форме, что повторяет экспериментальный план эксперимента 1. Для второй области, преподаваемой на неделе 2, режимы презентации были следующими. в обратном порядке: класс A был представлен материалом в разнесенной форме, тогда как класс B был представлен материалом в массивной форме.
Затем данные могут быть проанализированы с использованием дисперсионного анализа 2 (Условие: массив против разнесенных) × 2 (Фаза испытания: неделя 1 против недели 2) с повторными измерениями второго фактора. Таким образом, любые различия между классами были устранены путем уравновешивания.
Вторым изменением процедуры было запретить студентам писать во время представления уравнений памяти. Вместо того, чтобы указывать, было ли уравнение правильным или неправильным сразу после того, как оно было замечено во время испытания, ученикам приходилось ждать, пока все уравнения для испытания были представлены, а затем вспоминать, были ли уравнения правильными или нет, непосредственно перед тем, как вспомнить первые цифры каждого уравнения.
Студенты должны были обработать каждое уравнение и запомнить результаты этой обработки. Не позволяя им писать что- либо, пока присутствует уравнение, они не могут записать первую цифру. При тестировании они должны были вспомнить правильные и неправильные последовательности для этого испытания (например, правильные, неправильные, неправильные, правильные) и последовательность начальных чисел для каждого уравнения.
Третий вариант эксперимента 1 заключался в том, что мы собирали субъективные оценки сложности задач для теста рабочей памяти. Эти меры предоставили информацию о когнитивной нагрузке в дополнение к показателям рабочей памяти (см. Paas, 1992; Paas, Tuovinen, Tabbers, & Van Gerven, 2003).
!!!Методика
Участники. Для этого эксперимента были выбраны два класса, в общей сложности 82 ученика 5-го класса со средним возрастом примерно 11 лет из той же начальной школы, которая использовалась для эксперимента 1. Как и в эксперименте 1, на неделе 1 класс был назначен для условия массового обучения, в то время как другой класс был назначен для условия разнесенного обучения. На неделе 2, используя разные учебные материалы по алгебре, два класса были поменяны местами, при этом условие интервального обучения на неделе 1 стало условием массового обучения на неделе 2, и наоборот, что привело к уравновешиванию (см. Рисунок 4).
Количество участников из каждого класса в каждую неделю можно найти в Таблице 2. Обратите внимание, что количество участников в Таблице 2 отражает только тех, кто принимал участие в обеих неделях. В то время как на первой неделе было 82 участника, только 61 из них в конечном итоге можно было использовать в статистическом анализе. Этот отсев был вызван тем фактом, что некоторые студенты должны были участвовать в подготовке к общенациональной олимпиаде по математике, а некоторые другие не записывали свои личные данные.
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!!!Материалы
Как и в эксперименте 1, использовались слайды для фазы обучения, тест рабочей памяти с листом ответов для этого теста и пост-тест содержания алгебры. Существовали две отдельные версии слайдов этапа обучения для Недели 1 и Недели 2. Слайды Недели 1 учили студентов, как считать с отрицательными числами.
Были представлены три пары отработанного примера - пары решения задач. Для каждой задачи пары ученикам было предложено: «Вычислите следующее алгебраическое выражение». На второй неделе слайды научили студентов решать дробные уравнения. Опять же, мы разработали три рабочих примера - пары решения проблем. Все рабочие примеры - пары решения проблем снова были основаны на компьютере с использованием того же времени презентации, что и в эксперименте 1. Примеры рабочего примера - пары решения проблем для недели 1 и недели 2 показаны на рисунке 5.
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Тест рабочей памяти имел две эквивалентные версии для эксперимента 2: версия A для недели 1 и версия B для недели 2. Каждая версия включала слайды PowerPoint, которые снова отображали математические уравнения в течение 5 секунд. Для каждого уравнения задача обработки заключалась в том, чтобы определить, было ли уравнение правильным или неправильным, но, в отличие от эксперимента 1, также запомнить правильные / неправильные последовательности. Задача запоминания цифр была идентична Эксперименту 1.
Для всего теста половина уравнений была случайным образом признана правильной, а половина - неправильной. Альфа Кронбаха для запомненных цифр на неделе 1 и неделе 2 составляла 0,93 для обеих недель, тогда как для обработки уравнений на неделе 1 и неделе 2 альфа Кронбаха составляла 0,83 и 0,72 соответственно. В эксперименте 2 от всех студентов требовалось записывать ответы только после окончания каждого испытания. Они должны были записать все первые цифры в том порядке, в котором они были показаны, а затем указать по памяти точность математических уравнений в этом испытании. Как и в эксперименте 1, мы измеряли производительность как памяти первого числа каждого уравнения в каждом испытании, так и точности задач обработки, за исключением того, что была включена память точности последовательности уравнений для каждого испытания. Одно очко начислялось за каждую точно запомненную цифру (в правильном порядке), и одно очко начислялось за точно классифицированное и запомненное уравнение.
С изменением процедуры тестирования теста рабочей памяти все учащиеся в этом эксперименте следовали инструкциям. В обеих версиях тестов рабочей памяти было пять уровней сложности по три попытки в каждом, что в сумме составило 15 попыток. Уровни варьировались от одного до пяти (Уровень 1 включал одно уравнение на испытание, а Уровень 5 включал пять уравнений на испытание). Перед тестами были даны инструкции и два практических задания из двух уравнений для каждого практического задания.
Трехстраничный буклет (формат A4, напечатанный односторонний) был разработан для студентов, чтобы они могли записывать свои ответы на тесты на рабочую память. Этот буклет использовался на 1-й и 2-й неделях. На первой странице учащиеся указали свое имя и номер класса. В нем также были некоторые важные примечания для прохождения теста рабочей памяти, такие как «вы можете записывать свои ответы только для запомненных цифр, когда видите слайд с сообщением, пожалуйста, начните писать» и «вы не можете записывать свои ответы где-либо еще на этом листе ответов, кроме напечатанные пустые коробки ». Затем последовал раздел практики и разделы с Уровня 1 до Уровня 5. Для каждого раздела ученики должны были записать свое запоминание точности каждого уравнения в испытании после пустых полей для записи запомненных цифр по порядку. Таким образом, ученики должны были сначала записать заученные цифры по порядку, а затем указать по памяти точность ряда уравнений. Ответы на все разделы были записаны на второй и третьей страницах. В конце страницы 3 студентам была предоставлена 9-балльная симметричная категориальная шкала (Паас, 1992; Паас и др., 2003), чтобы оценить их воспринимаемую сложность теста рабочей памяти. Числовые значения и метки, присвоенные категориям, варьировались от очень, очень простой (1) до очень, очень сложной (9). Шкала была объяснена студентам на этапе обучения.
Заключительный тест с пятью вопросами по алгебре был представлен после фазы обучения на неделе 1 и неделе 2. На неделе 1 все вопросы представляли собой вычисления с отрицательными числами, например, вычислите (−5) - (−8) + (- 9), тогда как на второй неделе все вопросы касались как решить дробные уравнения, например, вычислите 𝑥𝑥 + 2 - 3𝑥𝑥 − 1 = 2. 23 максимальный балл за каждый вопрос составлял 4. Ответы на 1-й неделе требовали пяти шагов для решения, но только четыре ключевых шага (исключая шаг 3) были оценены, и каждому правильному шагу присваивалась одна оценка, давая в общей сложности 20 баллов. На 2-й неделе ключевые шаги 1, 3, 6 и 9 были оценены, что снова дало полную оценку 20. Все исходные оценки были преобразованы в процент правильных оценок для анализа. Для результатов тестирования были получены альфа-баллы Кронбаха 0,98 на 1-й неделе и 0,94 на 2-й неделе.
!!!Процедура
За исключением указанного выше, общая процедура была такой же, как в эксперименте 1.
!!!Результаты и обсуждение
В этом эксперименте был использован дизайн 2 (состояние: массирование по сравнению с разнесением) × 2 (фаза тестирования: неделя 1 по сравнению с неделей 2) с повторными измерениями второго фактора. Как и в эксперименте 1, зависимыми переменными были количество запомненных цифр, правильно классифицированные уравнения и результаты тестирования. Средние проценты и стандартные отклонения для этих зависимых переменных в зависимости от двух факторов показаны в таблице 2.
ANOVA, выполненный на запомненных цифрах теста рабочей памяти, не дал существенного основного эффекта условия (F <1, нс). Основной эффект недели был значительным, F (1, 59) = 17,081, MSE = 219,17, p <0,001, η2𝑃𝑃 = 0,225, что указывает на то, что количество запомненных цифр на неделе 2 было значительно выше, чем на неделе 1. Взаимодействие между условием 2𝑃𝑃 и фазой испытания было незначительным, F (1, 59) = 2,700, MSE = 219,17, p = 0,106, η = 0,044.
ANOVA, выполненный с использованием средств обработки уравнений, дал важные основные влияние условия, F (1, 59) = 5,307, MSE = 64,04, p = 0,025, η2𝑃𝑃 = 0,083, что указывает на более низкую количество правильно классифицированных уравнений в массе по сравнению с условиями обучения с интервалом. Основной эффект недели был значительным, F (1, 59) = 14,262, MSE = 46,07, p <0,001, η𝑃𝑃 = 0,195, показывая, что количество правильно обработанных уравнений на неделе 2 было значительно выше, чем на неделе 1. Взаимодействие между условием и фазой испытания было незначительным, F (1, 59) = 1,653, MSE = 46,07, p = 0,204, η𝑃𝑃 = 0,027.
ANOVA, выполненный по среднему проценту правильных баллов на последнем тесте, выявил главный эффект условия, F (1, 59) = 4,074, MSE = 1550,13, p = 0,048, η𝑃𝑃 = 0,065, показывая, что учащиеся в распределенных интервалах Условия обучения получили более высокие баллы, чем студенты в условиях массового обучения, что свидетельствует об эффекте интервала. Основной эффект недели был значительным, F (1, 59) = 100,45, MSE = 688,26, p <0,001, η2𝑃𝑃 = 0,630, что указывает на то, что процент правильных оценок на пост- тесте на неделе 1 был значительно выше, чем у на неделе 2, предполагая, что материал и тест на неделе 2 были значительно более трудными, чем на неделе 1. Взаимодействие между условием и фазой теста не было значимым, F (1, 59) = 1,481, MSE = 688,26, p = 0,228 , η𝑃𝑃 = 0,024.
Что касается шкал субъективных оценок во время теста на рабочую память, для анализа этих оценок был проведен дисперсионный анализ 2 (Условие: массив
против разнесенных) × 2 (Фаза теста: неделя 1 против недели 2) с повторными измерениями второго фактора. воспринимаемой трудности. Средние значения и стандартные отклонения приведены в таблице 3.
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Для субъективных оценок сложности основные эффекты условия, F (1, 59) = 18,574, MSE = 5,03, p <0,001, η2𝑃𝑃 = 0,239, и фазы тестирования, F (1, 59) = 55,383, MSE = 4,51, p <0,001, η2𝑃𝑃 = 0,484, были значимыми. Однако эти основные эффекты были квалифицированы по значительному 2 взаимодействию между условием и фазой испытания, F (1, 59) = 10,249, MSE = 4,51, p = 0,002, η𝑃𝑃 =.148. Взаимодействие показало, что ожидаемое снижение воспринимаемой сложности в зависимости от практики с 1-й по 2-ю неделю было значительно выше для студентов в массово-распределенном порядке, чем для студентов в разнесенном-массовом порядке.
Массовая практика после интервальной практики воспринималась как более трудная, чем интервальная практика после массовой практики. Тот факт, что тест на рабочую память воспринимался как особенно простой, когда он следовал за практикой с интервалами на неделе 2, может быть связан с тем, что это условие было единственным, на которое влияли эффект интервалов, эффект практики и эффект относительной сложности. Эффект практики заключается в том, что участники должны были воспринять вторую попытку теста рабочей памяти как менее трудную, чем первую попытку. Эффект относительной сложности заключается в том, что интервальная практика будет восприниматься как менее трудная после массовой практики, чем интервальная практика до массовой практики. Результаты эксперимента 2 подтверждают результаты эксперимента 1.
Эффект разнесения связан с большим истощением ресурсов рабочей памяти после массового представления по сравнению с разнесенным представлением. Эти результаты предполагают возможное причинное объяснение эффекта разнесения. Что еще более важно, они предполагают, что истощение когнитивных ресурсов, по крайней мере при некоторых обстоятельствах, можно охарактеризовать как истощение ресурсов рабочей памяти.
!!!Обсуждение
Некоторые выводы вытекают из результатов двух экспериментов, представленных в этой статье. Результаты подтверждают общий вывод о том, что истощение ресурсов, которое происходит после когнитивных усилий, можно охарактеризовать как истощение ресурсов рабочей памяти, по крайней мере, при некоторых обстоятельствах. В обоих экспериментах тесты на объем рабочей памяти значительно снизились сразу после когнитивной нагрузки по сравнению с введением периодов отдыха во время обучения и перед тестом рабочей памяти.
Дополнительные свидетельства в поддержку объяснения истощения ресурсов рабочей памяти были предоставлены в эксперименте 2 посредством взаимодействия, показывающего более высокие оценки воспринимаемой сложности в тесте рабочей памяти после массированной практики (наблюдаемой в условиях массированных интервалов). Потребуется дополнительная работа, чтобы установить, является ли истощение рабочей памяти единственной причиной истощения ресурсов или существуют и другие возможные причины.
Результаты также предполагают, что эффект разнесения, который многократно воспроизводился на протяжении многих десятилетий, можно напрямую отнести к истощению ресурсов рабочей памяти. В настоящее время, хотя эффект интервала эмпирически установлен, нет единого мнения относительно его причины (например, Benjamin & Tullis, 2010; Delaney et al., 2010). Многие исследования, связанные с этим эффектом, больше касаются его эмпирических и, в меньшей степени, практических характеристик, а не его теоретического контекста (Küpper-Tetzel, 2014). Наши результаты предоставляют как эмпирические доказательства, так и теоретический контекст по крайней мере для некоторых версий эффекта. Они, конечно, не исключают возможности того, что эффект имеет несколько причин в разных условиях.
Как отмечают Kapler et al., демонстрация эффекта интервала с использованием студентов в реальных условиях класса, изучающих соответствующие учебные материалы, а не в лабораторных условиях с использованием искусственных материалов, является редкостью. (2015). Обычно предполагается, что эффект имеет образовательное значение, но редко проверяется в образовательных контекстах и, похоже, имеет небольшое практическое воздействие. Дополнительные демонстрации эффекта в классе, а не в лабораторных условиях могут быть важны.
Важный вопрос касается одного из наших экспериментальных проектных решений. В обоих экспериментах и тесты рабочей памяти, и тесты содержания для разнесенных условий проводились через день после последней фазы обучения, а не сразу после последней фазы обучения, как это было для групповой группы. Мы использовали эту процедуру, потому что наша основная причина проведения экспериментов заключалась в том, чтобы определить, следует ли сохранить предположение о фиксированной емкости рабочей памяти в соответствии с теорией когнитивной нагрузки. Чтобы от него отказаться, нам нужны были доказательства того, что объем рабочей памяти снижается после когнитивных усилий и увеличивается после отдыха.
Процедура, которую мы использовали, могла предоставить это доказательство. Конечно, поскольку задержка в тестировании может привести к увеличению забвения, что приведет к снижению производительности разнесенных групп, эта процедура потенциально скомпрометировала свидетельство эффекта разнесения. Тем не менее, задержка в тестировании для разнесенных групп не помешала обычному эффекту разнесения в любом эксперименте, несмотря на потенциальную предвзятость по отношению к разнесенным группам.
Как указано выше, основная цель проведения текущих экспериментов состояла в том, чтобы предоставить данные, которые помогут определить, следует ли сохранить или отказаться от предположения о фиксированной емкости рабочей памяти, используемой теорией когнитивной нагрузки, в пользу предположения об истощении рабочей памяти после когнитивных усилий. . Текущие результаты показывают, что необходимо отказаться от предположения о фиксированной рабочей памяти. В таком случае такое изменение должно иметь серьезные последствия и привести к значительному расширению теории когнитивной нагрузки.
До сих пор в рамках принципа узких границ изменения теория неявно предполагала фиксированный объем рабочей памяти для любого человека. Конечно, эта способность может быть значительно увеличена, если исходить из принципа организации и связывания окружающей среды. В среде, где можно использовать информацию, хранящуюся в долговременной памяти, путем переноса этой информации из долговременной в рабочую память происходит значительное увеличение емкости рабочей памяти. Тем не менее, в отсутствие этой сохраненной ранее полученной информации предполагалось, что для любого конкретного человека объем рабочей памяти по существу фиксирован. Исходя из текущих данных, это предположение несостоятельно. Емкость рабочей памяти может варьироваться в зависимости не только от предыдущей информации, хранящейся в хранилище информации, заимствования и реорганизации и случайности как принципов генезиса, но также и от истощения ресурсов рабочей памяти из-за когнитивных усилий.
Основываясь на истощении ресурсов рабочей памяти, могут появиться значительные возможности для расширения теории когнитивной нагрузки и обучающих эффектов, которые она создает. Принцип узких границ изменения предполагает, что для сохранения содержимого долговременной памяти в любой момент времени могут обрабатываться только очень ограниченные объемы новой информации. Возможно, нам придется добавить к этому принципу, что предел еще больше сужается после когнитивных усилий, но расширяется после отдыха. Это расширение должно привести к новым учебным гипотезам.
Эффект интервала представляет собой первую часть этого расширения теории когнитивной нагрузки. Насколько нам известно, эффект никогда ранее не объяснялся в рамках теории когнитивной нагрузки, и действительно, без расширения, предоставляемого концепцией истощения ресурсов рабочей памяти, теория когнитивной нагрузки не могла объяснить этот эффект.
Есть много вопросов, которые требуют изучения при рассмотрении истощения ресурсов рабочей памяти, теории когнитивной нагрузки и эффекта интервалов. Например, сколько когнитивных усилий и как долго должны быть выполнены когнитивные усилия, прежде чем произойдет значительное истощение? Какова скорость, с которой последствия истощения ресурсов обращаются вспять когнитивным отдыхом, и существуют ли условия, при которых это обращение может быть ускорено? Несмотря на большое количество эмпирических исследований эффекта расстояния, похоже, нет единого мнения по этим вопросам.
Другой вопрос касается природы истощения ресурсов рабочей памяти. Требуется ли полный отдых или отдых нужен только для того типа познавательной деятельности, который вызвал истощение ресурсов, при этом изменения в познавательной деятельности имеют такой же эффект, как и отдых? Есть некоторые возможные свидетельства (Rohrer & Taylor, 2007), что полезно ставить ученикам различные математические задачи, а не группировать их в одну категорию. В то время как Рорер и Тейлор (2007) связывают свою процедуру и результаты с эффектом разнесения, группируя вместе похожие проблемы, классифицируемые как массовая практика и смешение, или, используя их термин, «перемешивание» проблем, классифицируемых как разнесенные презентации, экспериментальный план и результаты, вероятно, больше напоминают парадигму эффекта изменчивости (Paas & van Merriënboer, 1994).
В заключение, характеристика истощения ресурсов как истощение рабочей памяти, добавление истощения рабочей памяти к теории когнитивной нагрузки и использование теории когнитивной нагрузки для объяснения эффекта интервалов может иметь как теоретические, так и образовательные значения. Хотя требуется значительно больше исследований, эти первоначальные эмпирические результаты обнадеживают.
---
!!!References
Extending Cognitive Load Theory to Incorporate
Working Memory Resource Depletion: Evidence from the Spacing Effect
Драматургами, романистами и лекторами могут использовать известные формы, чтобы упростить свою работу. Они могут развертывать предыдущие шаблоны, инструменты, методологии и т.д. при решении проблем или оценке своей работы.
Напротив, если вы хотите создать [[Реализованный опыт]], вы в основном начинаете в дикой природе. Есть несколько ключевых исключений: у геймдизайнеров есть шаблоны для эстетического опыта в своей форме; организационный дизайн имеет шаблоны для создания командной культуры и практики с помощью принятого опыта.
Могут существовать методы и процессы, которые лежат в основе практики обеих этих областей и могут дать общие подходы к созданию принятого опыта. Это было бы захватывающе, потому что [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]
Принятый опыт - это опыт, который участники чувствуют, что они сами создали/получили, но который, на самом деле, в значительной степени является конкретным выражением намерений автора.
*принятый опыт - это авторский опыт, который выполняется (часто бессознательно) другими, как бы принимается ими*.
Это похоже на тщательное продумывание встречи и манипулирование.
Это мощный механизм, потому что [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].
!!!Примеры и контрпримеры
Многие элементы партии [[Y Combinator]] являются принятыми: тщательно организованные ужины, сроки, давление и т. д. объединяются для получения предполагаемого опыта. Опытные профессионалы часто создают принятый опыт на встречах: они структурируют повестку дня и структуру так, чтобы участники неизбежно пришли к желаемым убеждениям или выводам, но каждый человек почувствует, что он сделал это для себя.
Хорошие видеоигры структурированы таким образом, что в любой момент игроки чувствуют, что их совокупные действия создали их нынешний опыт. И они чувствуют, что их текущие действия *воплощают*будущий опыт - они приведут в жизнь эти государства. Этот смысл будет возникать в любой [[Среда участия]], но в играх дизайнеры могут осуществлять сильный авторский контроль над опытом*, который*будут осуществлять игроки.
Гейм-дизайнеры, такие как Дженова Чен, Фрэнк Ланц и Джонатан Блоу, создают скрипки, которые "играют своих игроков". Они создают среду, в которой игроки нажимают кнопки, и игроки интуитивно чувствуют, что они делают в каждый момент времени, но кнопки расположены таким образом, что действия игроков, как правило, создают именно тот желаемый опыт. В хороших играх игроки почувствуют, что они приняли авторский опыт, даже когда у них не было настоящего агентства. Это дает геймдизайнерам уникальные возможности для самовыражения: [[Игра - это эстетическое средство действия]].
Это необычное свойство для медиа-формы. В кино и книгах зритель/читатель в любой момент чувствует, что автор создал этот момент. Если работа выполнена очень умело, зритель/читатель может почувствовать, что *персонажи*или их окружение создали этот момент. Но зрители/читатели, конечно, не чувствуют, что *их*действия создали момент.
Ближайшим неигровым медиа-аналогом может быть захватывающий театр, но участие часто слишком пассивно, чтобы создать этот эффект.
Программные среды являются участниками, и пользователи, как правило, считают, что они привносят опыт в эти системы, но этот опыт обычно не является контролируемым выражением намерений разработчика программного обеспечения. Таким образом, программные среды редко создают опыт.
!!!Элементы
* Определенно, любая среда, которая производит принятый опыт, должна быть [[Среда участия]].
* [[Реализованный опыт требует причинно-следственной связи, ориентированной на участника]]
* [[Реализованный опыт требует блокировки действий участников]]
* [[Реализованный опыт требует жестких циклов действия и обратной связи]]
Многие принятые опыты используют [[Метакогнитивная поддержка как как когнитивная опора]] в качестве [[Когнитивный каркас]], чтобы направить участников к желаемому опыту, но не все это делают. Воспроизведение произведения из нот и выполнение рецепта являются примерами принятого опыта, который может не включать в себя строительные леса.
[[Реализованный опыт существует в спектре участия и авторского контроля]]
!!!Вызовы
* [[Реализованные опыты сложно описать]]
* [[Реализованный опыт трудно распространять]]
!!!Перспективы
* [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]
* [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]]
Я считаю, что можно создать [[Реализованный опыт]] с основной целью передачи идей, ценностей и практик - по-равно выполнять «работу» книги. Это мощное предложение, потому что [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]] а [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]].
!!!Проспекты:
* Ученичество и другие социальные институты (например, YC) сделайте это сегодня, но это не формы средств массовой информации ( [[Реализованный опыт трудно распространять]])
* Видеоигры являются массовой средой, но они используются почти исключительно для передачи эстетического опыта, а не как часть благоприятной среды.
* Приложения для медитации являются многообещающим справочником: [[Приложения для медитации с гидом обеспечивают принятый опыт в массовой среде]]
Я вижу в этом одну из основных идей [[The Primer++]]
Похоже, здесь существует некоторая существенная напряженность, так как [[Взаимодействие - это центр затрат в дизайне интерфейсов]].
Создатель [[Реализованный опыт]] может вызвать сильную личную связь с конкретным опытом, который он создал. Одно важное следствие: [[Реализованный опыт усиливает силу повествования]].
В «Путешествии», например, игроки мало что могут сделать, кроме как идти вперед в гору. Последовательность окружений, которые они пересекают, тщательно продумана, чтобы большинство игроков пережили эмоциональное путешествие героя, завершающееся перерождением и божественным превосходством. Это не пассивный опыт: игрок делал каждый шаг с персонажем. Так что восхождение персонажа ощущается особенно глубоко.
Великие фильмы и книги могут быть очень трогательными, но ставки, которые я чувствую в этих СМИ, далеко не так высоки. Я сочувствую персонажам, но не становлюсь ими . Нет никаких непредвиденных обстоятельств; Я ничего из этого не делаю; ничего, что я могу сделать, ничего не изменит.
Социальная среда может создавать интенсивные личные связи, но, как правило, не с конкретным авторским опытом.
Точно так же программные среды могут создавать интенсивные личные связи, но обычно они не связаны с конкретным авторским опытом. Полосы Snapchat - один интересный контрпример.
!!!References
Thatgamecompany, Inc. (2012). Journey. Retrieved from http://thatgamecompany.com/journey/
[[Благоприятная среда сосредоточена на том, что включено]], но [[Новички в благоприятных средах часто не умеют делать то, что разрешено]]. Хорошо продуманный [[Реализованный опыт]] может позволить участникам немедленно испытать //то, что позволяет среда.//
Например, скажем, у компании-разработчика программного обеспечения есть специальная инфраструктура тестирования, которая позволяет их инженерам уверенно вносить большие изменения. Менеджер может представить нового инженера в эту инфраструктуру, назначив ему функцию, которая, как известно менеджеру, потребует изменения хорошо протестированного кода. Инженер увидит, что соседний код содержит ссылки на фреймворк тестирования, и соответствующим образом интегрирует свою новую функцию. Обзор кода может создать полезные обсуждения тестов. Инфраструктура тестирования позволяет инженеру уверенно приземлить свою новую функцию. Благодаря этому опыту он может легко протестировать будущие функции.
Для сравнения, представьте, что менеджер этого не сделал. Кто-то другой просит инженера расширить функцию, которая еще не использует специальную инфраструктуру тестирования. Инженер может не думать об использовании. Кто-то может указать ему на это в обзоре кода и отправить ему вводную документацию, но чтение - это деятельность *по*его цели, поэтому он менее связан с ней. Он пытается просто погрузиться, но считает инфраструктуру тестирования сложной для интеграции, так как у его модуля нет примеров для изменения.
К сожалению, [[Реализованный опыт]], трудно найти, и [[Реализованный опыт трудно распространять]]. Тем не менее, [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]]. Я вижу в этом центральное обещание таких средств массовой информации, как Primer: [[Primer ++ встроен в поле, стимулируя участие через принятый опыт]].
Случайность важна для создания [[Реализованный опыт]].
«Состояние по умолчанию» игры - это такое, которое блокирует действия игрока. Сюжет, битва, строительство и т. Д. Просто не начнутся, пока игрок не выполнит действие. Время от времени игра может «брать под свой контроль» и разворачивать повествование без участия игрока, но она не может делать это слишком долго, прежде чем нарушит ощущение разыгрывания.
Взгляните на этот памятный отрывок из Diamond Age :
Потом она поняла, что в книге давно ничего не сказано. «Что случилось потом?» - спросила она. Иллюстрированный букварь юной леди ничего не сказал. «Нелл искала безопасный путь вниз», - написала Нелл. Ее точка обзора начала двигаться. Появился участок снега. «Нет, подожди!» - сказала она, - «Нелл набила немного чистого снега в свои бутылки с водой» (стр. 308).
The Primer давал Нелл все больше и больше контроля по мере развертывания глав. С этого момента истории Праймер-Нелл никуда не пойдет, если настоящая Нелл не скажет ей об этом.
Я подозреваю, что это свойство - одна из причин, по которой участники иммерсивного театра часто не чувствуют, что они разыгрывают процесс.
---
!!!References
Stephenson, N. (2003). The Diamond Age: Or, a Young Lady’s Illustrated Primer (Reprint edition). Spectra.
Чтобы создать [[Реализованный опыт]], петли обратной связи должны быть достаточно плотными, чтобы поддерживать восприятие, которое участники вызывают в опыте. Узкие петли обратной связи, в свою очередь, требуют, чтобы действия были достаточно детализированными.
Рассмотрите возможность самостоятельного выбора приключенческих книг и интерактивной художественной литературы в стиле Infocom. В последнем случае ставки намного выше, но среда на самом деле очень похожа, хотя Zork работает на компьютере. Я подозреваю, что мое ощущение «единства с Zork» исходит из его более тонких петель обратной связи и большего пространства состояний.
Чтобы создать [[Реализованный опыт]], должна существовать внутренняя связь между действиями участников и последующим опытом. Эта связь не требует истинной свободы воли. Важно только, чтобы участники интуитивно чувствовали, что их действия вызывают некоторую значительную часть опыта - по крайней мере, до тех пор, пока они не думают об этом слишком внимательно.
Большинство игр поддерживают это чувство на протяжении большей части опыта. Часто нормально, если опыт перемежается кат-сценами, которые игрок не контролирует. Пока игрок чувствует, что они вызвали события до и после кат-сцены, это будет интегрировано (до некоторой степени) в более широкое ощущение причинной связи.
Это требование является одной из основных причин, почему интеллектуальные системы обучения редко создают разыгрываемый опыт. ITS может быть средой участия , но причинно-следственная реакция находится в системе, а не в ученике. Восприятие ученика таково, что автомат скармливает ему бесконечный поток задач. У них есть смутное представление о том, что их ответы на эти задачи определяют, какие задачи будут следующими, но причинно-следственная связь происходит внутри черного ящика системы, а не как часть механизма, который они запускают.
Точно так же вопросы и задания из учебников могут спровоцировать разыгрываемый опыт, если читатель выполняет их, но внутренне переживание обычно ощущается как «выполнение того, что говорит автор». Я думаю, что это связано со значительным разделением между авторским контекстом (книга) и средой выполнения (лабораторный эксперимент, бизнес и т. д.).
Соответственно, хотя и не идентично: [[Реализованный опыт требует блокировки действий участников]].
Если вы хотите объяснить какую-то идею, вы можете написать эссе и поделиться им с миллионом человек. Если вы хотите включить людей с помощью нелинейного редактирования видео, вам не нужно строить завод: вы можете распространять программное обеспечение по нулевой предельной цене. Напротив, у нас мало общих инструментов для дешевого массового распространения [[Реализованный опыт]].
Это позор, потому что я вижу в них ключевой элемент проектирования [[Благоприятная (стимулирующая) среда]]: [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]].
Традиционный подход социальный. Культурные старейшины создают обряды прохождения для молодежи. [[Y Combinator]] проектирует свои ужины и мероприятия, чтобы создать определенный опыт для основателей своими действиями. В социально распределенном опыте *люди*являются средой. Своими действиями посредники создают и поддерживают среду, которая дает принятый опыт для участника. Это облегчение дорого и подвержено ошибкам, поэтому этот подход используется экономно.
По крайней мере, для эстетического опыта игры регулярно умудряются распространять принятые опыты через другую среду: программное обеспечение. Это важный шаг, потому что программное обеспечение может быть дешево массово распределено, предоставляя отдельным авторам огромные рычаги влияния. Методы геймдизайнеров еще не широко используются для распространения неэстетического опыта. Но, возможно, они могут быть: [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].
Повествование является мощным инструментом как потому, что оно создает эмоциональную вовлеченность, так и потому, что оно может поддерживать понимание ([[Повествование как когнитивная опора]]). Повествование можно сделать еще более мощным, превратив его в [[Реализованный опыт]], потому что [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]].
В Portal и Bioshock, например, запоминающееся повествование вплетено в последовательность окружения, появления персонажей и доступных взаимодействий. В отличие от таких игр, как Final Fantasy, в которых история в значительной степени отделена от игрового процесса и представлена больше как фильм, повествования Portal и Bioshock кажутся следствием действий игрока.
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но для этого необходимо, чтобы люди усвоили привычку регулярно практиковать память. А принятие любой новой регулярной привычки - это бремя для большинства людей. Но большинство людей находят это довольно неприятной привычкой: наизусть просматривать карточки, которые могут напоминать школьные.
Таким образом, успешная [[§Система интервального повторения]] должна немедленно принести значительную личную ценность, чтобы преодолеть этот барьер для принятия. Большинство систем этого не делают: это пустое поле, предназначенное для заполнения пользователем. Но [[Трудно написать хорошие подсказки для интервального повторения]], поэтому большинство пользователей начальные сеансы проверки будут включать небольшое количество посредственных подсказок. И [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]. Итак, люди перестают пользоваться сервисом.
::Мы часто встречаем людей, которые говорят: «О, я думал, что повторение с интервалами - это здорово, и я пробовал Anki и т. д. , Но у меня это не работает». Если копнуть немного глубже, выяснится, что человек использует свою систему памяти способом, который гарантированно потерпит неудачу. Они будут писать ужасные вопросы, использовать их для изучения темы, которая их не волнует, или делать другие ошибки. Они немного похожи на человека, который думает, что «обучение игре на гитаре звучит здорово», берет ее на полчаса, а затем кладет, говоря, что они звучат ужасно и, следовательно, это плохой инструмент. Конечно, на самом деле происходит то, что и гитара, и система памяти - это навыки, на развитие которых нужно время.
(Matuschak and Nielsen, 2019)
!!!References
Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought? https://numinous.productions/ttft
В [[§Система интервального повторения]] ключевой ввод в систему управления: правильно ли пользователь запомнил подсказку? Некоторые системы оцениваются самостоятельно: пользователь указывает, запомнили они или нет. Другие просят пользователя ввести ответ; затем система вычисляет, был ли пользователь прав.
Системы с самооценкой превосходят по эффективности системы с машинной оценкой по многим параметрам.
* Преимущества самогрейдинговых систем
** [[Системы интервального повторения с самооценкой более эффективны, чем аналогичные системы с машинной оценкой]].
** [[Системы интервального повторения с самооценкой избегают ложноотрицательных результатов]]
** [[Системы интервального повторения с самооценкой интервалов повторений позволяют использовать более широкий спектр подсказок]].
* Преимущества машинно-градуированных систем
** [[Системы интервального повторения с машинной градацией могут выполнять более сложное моделирование знаний]]
Интересно, что [[Все коммерчески успешные системы памяти интервального повторения имеют машинную оценку]].
!!!Скрытый и открытый ответ
Эти две задачи психологически разные. В литературе по когнитивной науке это называется «скрытой» и «открытой» поисковой практикой соответственно. Можно представить, что практика открытого поиска лучше поддерживает долговременную память, поскольку позволяет избежать ошибок / неверных указаний по самопроверке и требует сочетанных двигательных действий (motor action).
Линдси (2014, гл. 6) провела серию экспериментов, сравнивающих скрытую и явную практику поиска (по ассоциациям слов на суахили, старшекурсники, максимальный интервал поиска в одну неделю), и не обнаружила явного победителя.
!!!References
Lindsey, R. (2014). *Probabilistic Models of Student Learning and Forgetting*. University of Colorado.
Накопление вкладок, сохранение PDF-файлов и создание закладок кажется прогрессом, но мы систематически переоцениваем его ценность. [[Понимание требует активного вовлечения]]; вряд ли вы получите много понимания из папки с почти непросматриваемыми PDF-файлами.
Мы собираем материал, потому что это легко и потому, что он подавляет беспокойство о том, что мы никогда больше не найдем то, на что смотрим. Но на самом деле мы часто просто усугубляем ситуацию, закапывая важные материалы в тонны вторичного материала, который мы просто «не хотим терять». Это понятие контрастирует с тем, что [[Знания должны срастаться]].
[[Кристиан Титеце предлагает:|https://zettelkasten.de/posts/collectors-fallacy/]]
Это первый шаг к преодолению заблуждения коллекционера: //осознать, что наличие текста под рукой ничего не делает для расширения наших знаний//.
Вместо этого мы должны [[Пишите о том, что вы читаете]], потому что [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]]. И чтобы помочь эффективно управлять собой ([[Неэффективная практика написания заметок дает слабую обратную связь]]), мы должны обрабатывать собранные материалы в короткие циклы итерации, а не позволять им накапливаться в течение длительных периодов времени.
!!! Ссылки
[[Заблуждения коллекционера * Метод Zettelkasten|https://zettelkasten.de/posts/collectors-fallacy/]]
Потому что «знать о чем-то» - это не то же самое, что «знать что-то». Простое знание о предмете - менее чем поверхностное, поскольку знание о предмете - это просто уверенность в его существовании, не более того. В конечном итоге это ложное знание мешает нам на пути к истинному совершенству. Пока мы не объединим содержание, информацию, идеи и мысли других людей в наши собственные знания, мы ничего не узнаем. Мы не меняемся, если не учимся, поэтому простое хранение вещей ни к чему не приведет.
Точно так же, как ксерокопирование само по себе вознаграждает и вызывает привыкание, я утверждаю, что мы попадаем в ту же ловушку ложного комфорта, когда делаем закладки веб-страниц и сортируем закладки по папкам или помеченным категориям. Добавление веб-страницы в закладки - это удовлетворение, потому что мы избавляемся от страха потерять доступ к информации.
Я подробно рассказываю в [[другом посте|https://zettelkasten.de/posts/reading-web-rss-note-taking]].
Это первый шаг к преодолению заблуждения Коллекционера: осознать, что наличие текста под рукой никак не увеличивает наши знания. Вместо этого мы должны работать с этим. Одного чтения недостаточно: мы также должны создавать заметки, чтобы создавать настоящие, устойчивые знания.
Особенно, когда мы начинаем исследовать что-то новое, Эко рекомендует читать и выделять тексты сразу после создания копий. Если в ближайшее время мы научимся обрабатывать ксерокопии текстов, мы почувствуем, с каким объемом мы действительно справимся.
''Более короткие циклы исследования, чтения и усвоения знаний лучше, чем длинные''. С каждым полным циклом от исследования до усвоения знаний мы узнаем больше об этой теме. Когда мы знаем больше, наши решения становятся более осознанными, поэтому наши исследования становятся более эффективными. Если, с другой стороны, мы возьмем домой большую стопку материала для чтения и обработки, некоторые из них окажутся бесполезными после того, как мы закончим отдельные части стопки.
[[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]]. Это кажется мощным авторским аспектом для исследования, как показано, например, на примере [[Приложения для медитации с гидом естественным образом распространяются со временем]].
Мы можем называть тексты с авторским измерением времени временными текстами.
* [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]].
* [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
** [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]] (например , [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]])
Ежедневная практика с [[§Система интервального повторения]] должна быть жизненно важной и актуальной. Если за какое-то время не было добавлено много новых запросов, ежедневные сеансы проверки начинают казаться застрявшими в прошлом, оторванными от того, о чем вы думаете прямо сейчас. Похоже, что это обычная проблема для новых пользователей, которые в порыве первоначального энтузиазма добавляют сразу много новых подсказок, а затем им скучно, когда они все еще просматривают те же самые подсказки (и никакие другие) спустя несколько месяцев.
!!!References
Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought? https://numinous.productions/ttft
]]
Исторически сложилось так, что работа над инструментами мышления была сосредоточена главным образом на познании; большая часть работы застряла в Спок-пространстве. Но он должен относиться к эмоциям так же серьезно, как лучшие музыканты, режиссеры и дизайнеры видеоигр. Мнемоническое видео - многообещающее средство для таких исследований, возможно, сочетающее в себе глубокую эмоциональную связь с детальным интеллектуальным мастерством, к которому стремится мнемоническая среда.
Этот стиль чтения подчеркивает широкое чтение в литературе, ориентированной на синтез, а не на анализ. Вместо того, чтобы просто пытаться «примириться» с автором, то есть глубоко понять их концептуальную основу, читатель пытается «довести автора до терминов», то есть переконтекстуализировать работу автора по отношению к собственным теориям и развивающимся идеям читателя.
Одним из общих контекстов для этого стиля чтения является обзор академической литературы.
!!!Ссылки
Адлер, М. и ван Дорен, С. (1972).*Как читать книгу*. Simon & Schuster, Inc.
На протяжении десятилетий компьютерные операционные системы поставлялись с предсказуемым набором инструментов управления личной информацией: адресной книгой, календарем, почтовым клиентом, некоторыми базовыми функциями создания заметок, файлами и папками и т. Д. Они структурированы иначе, чем разрозненные ». приложения », которые обычно стремятся охватить некоторый рабочий процесс от начала до конца. Это базовое программное обеспечение ОС является более универсальным, и каждое из них является одновременно инструментом и службой, связанными со всей ОС посредством интеграции на основе API. Вы добавляете событие в свой календарь из сообщения электронной почты, автоматически заполняете имя контакта в приложении чата, сохраняете и открываете файлы в одной папке из многих приложений и т. Д.
Что, если бы существовала [[§Система интервального повторения]] «уровня ОС»? Что, если бы вместо того, чтобы жить «внутри обувной коробки приложения», как в Anki и других существующих инструментах, подсказки были бы больше похожи на файлы в папках - с возможностью чтения и записи во всей системе?
В веб-статьях могут появляться чередующиеся подсказки, написанные автором, как в [[Мнемоническая среда]], или, возможно, читателями, как в Genius / Hypothesis. Вы должны импортировать эти подсказки по мере чтения, так же как ваш браузер формирует историю, когда вы читаете.
Аннотации вашего PDF-файла и читателя электронных книг могут, естественно, отображаться в этой централизованной SRS, а не оставаться изолированными на какой-то недоступной боковой панели.
Когда вы делаете заметки на ежедневных встречах, вы можете пометить ключевые идеи специальным тегом, чтобы передать их этой системе (как в случае с [[Мнемоническая среда может быть расширена до личных заметок]]) - возможно, панель форматирования будущего текстового процессора будет включать кнопки для жирный, курсив, подчеркнутый… и «на рассмотрение».
Подобно тому, как современные операционные системы могут создавать предварительные события календаря или контакты на основе сообщений чата или электронной почты, система может создавать предварительные запросы SRS на основе ссылок, которые вы добавили в закладки, или фраз, которые вы неоднократно искали.
Но эти идеи становятся гораздо более интересными, если вы думаете о SRS как о гораздо большем, чем запоминание (см. Раздел [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]), и еще более мощными, если учесть, что [[Системы интервального повторения могут использоваться для программирования внимания]].
Например, вы можете сегодня поднять свои умные часы и сказать: «Напомните мне написать о моей идее о том, что SRS может быть оформлена как услуга уровня ОС». Это разовое напоминание. Но с этой SRS на уровне ОС вы могли бы поднять часы и сказать: «Не забудьте подумать: какие новые контексты могут выиграть от службы SRS на уровне ОС?» Это создало бы не одноразовое «дело», а побуждение к повторным размышлениям с течением времени. (См. Раздел [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]] для получения дополнительной информации.)
В то время как традиционный дизайнер может думать о своей работе как о проектировании объекта или механизма , «система действий» - это «согласованный набор взаимосвязанных компонентов», который создает изменения.
Системы действий построены так, чтобы позволить участникам производить существенные изменения посредством небольших действий, и на самом деле не обязательно требуют участия всех жителей для создания этих изменений.
!!!Ключевые элементы дизайна
* Видение
** Видение - это видеть. Он сплачивается; это желательно; он переориентирует существующих участников; он создает пространство для отдыха.
* Автомобиль (проявляющий видение)
** Транспортное средство - это возможность: план модернизации исследовательской библиотеки; строительство нового университета; и т.д. Это создает возможность для выражения видения.
* Концепция (которая движет работой)
** Концепция основывает видение автомобиля. Это более конкретно; это более конкретно. Он не относится к конкретным механизмам, но описывает, как видение будет достигнуто с помощью транспортного средства.
* Механизмы - вещи и действия для возникновения эшафота
** Определенные системные существительные и глаголы. В физической среде это могут быть физические пространства или возможности. В социальной среде это может отражать ритуалы или практики. Это согласованный набор; стратегически выбранные, чтобы уравновешивать и усиливать друг друга.
* Сети
** Система действий действует в постоянно меняющемся контексте - на уровне отдельного человека, небольших групп, сообществ и общества в целом, в которое встроен этот замысел. Отношения между людьми на всех этих уровнях сложным образом взаимодействуют с механизмами, которые обеспечивают то, что на самом деле происходит в этих контекстах, изо дня в день.
!!!Необходимые практики и компоненты для создания систем действий
* Расширенное чтение контекста
** это очень удачная компетенция
* Формирование и работа в чрезвычайно междисциплинарных пространствах
** это в основном необходимо, потому что авторы и их коллеги являются консультантами
* Метадизайн
** о разработке процессов проектирования
** Опять же… может быть, только потому, что авторы - консультанты?
** это необходимо, когда дизайнеры, работающие вне контекста использования, привлекают практиков предметной области к процессу проектирования
* Размышляя через экологические линзы
* Осознавая роль дизайнера как лидера и организатора:
** Роль дизайнера заключается в том, чтобы извлечь множество идей и наблюдений из шарретов, бесед с дисциплинарными экспертами и т. д., А также превратить это в собственное видение.
** «Видение можно развивать в сотрудничестве, но для этого требуется харизматическое лидерство, чтобы сплести воедино множество голосов, найти согласованные модели и продуктивные аномалии, а затем сообщить и отстаивать их с ясностью и артистизмом»
** относится к наблюдениям о поистине великих произведениях, созданных одним человеком
* Формирование важных и эффективных партнерских сетей
---
References
Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press. Pendleton-Jullian and Brown, Design Unbound
В интервью Джеймса («Брэд») Делонга - Quantum Country - 22.11.2019 Брэд в шутку предположил, что Мнемоническая среда представляет собой новый вид «катехизиса». Это забавное сравнение, но над ним стоит серьезно задуматься!
Типичный пример из Вестминстерского краткого катехизиса :
"""
В1: Какова главная цель человека?
A1: Главная цель человека - прославлять Бога и вечно наслаждаться Им.
"""
На первый взгляд, катехизисы предназначены для запоминания доктринальных знаний, но они также влияют на изменение личности посредством многократного ознакомления.
Точно так же обзорные сессии [[§Система интервального повторения]] помогают читателям запомнить материал книги, но они также побуждают читателей повторно взаимодействовать с материалом, который они прочитали с течением времени. Это практически полезно, потому что многие читатели увидят новые связи после того, как посидят с контентом в течение нескольких недель. Но, возможно, это также способствует изменению личности: вы не просто человек, однажды прочитавший это эссе, вы изучаете эту тему в более длительном смысле.
Мой собственный опыт здесь неоднозначен. Иногда я вижу вопрос в двадцатый раз и отвечаю наизусть, без какой-либо эмоциональной связи с первоисточником. В других случаях я замечаю, что задаю себе новые вопросы по этой теме, постепенно чувствуя, что постепенно «соприкасаюсь» с этой темой.
Все это косвенный эффект - изменение личности путем запоминания деталей, связанных с этой идентичностью. Но можно также использовать системы интервальных повторений для более непосредственного программирования своей личности. Придерживаясь на данный момент квантовых вычислений, один простой пример карты мог бы быть таким: «В данный момент, какой нерешенный вопрос я инстинктивно нахожу наиболее увлекательным в квантовых вычислениях?» (сзади ничего нет). Если бы вы видели этот вопрос регулярно в течение следующих нескольких месяцев, отождествляли бы вы себя с проблемами космоса более лично?
Вы можете представить себе создание карточек о новых привычках («Подумайте о новой конкретной ситуации, в которой мне будет сложно дать слово другим») или ценностям («Какая необычная недавняя ситуация, в которой вы думали в масштабе столетия? ”); см. Интервальное повторение может быть полезным инструментом для развития или изменения привычек . Более экзотические системы Spaced everything можно использовать для планирования произвольных мелкозернистых задач, связанных с какой-то новой идентичностью, например, итеративное обращение к интересным людям в новой области.
На данный момент кажется, что мы довольно далеко отошли от катехизиса, но этот англиканский катехизис имеет тот же оттенок:
"""
Q: Как вас зовут?
A:…
Q: Кто дал вам это Имя?
A: Мои крестные отцы и крестные матери в моем крещении; в котором я стал членом Христа, чадом Божьим и наследником Царства Небесного.
"""
Связано: [[Система интервального повторения на уровне ОС]]
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но ценность компьютеризированного компонента заключается именно в динамическом планировании и выборе вопросов для рассмотрения. В некотором смысле эффективность [[§Система интервального повторения]] происходит от ее способности *программировать* *ваше внимание*([[Программируемое внимание]]). Подумайте: «{cron} для вашего разума».
Принятие решений о том, какие карты рассматривать вручную, было бы слишком утомительно для каждой карты. Стоимость транзакции слишком высока. Когда эта работа в основном передается на аутсорсинг, вы можете принять более грубое решение - посвятить свое внимание практике SRS в течение 10 минут - а затем позволить вашему вниманию быть направленным машине в этом блоке.
В традиционной системе в стиле карточек вы можете использовать это наблюдение, чтобы выйти далеко за рамки запоминания: см. [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]], а [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]] . [[Дизайн подсказок с интервалом повторения предназначен для разработки задач для себя в будущем]].
Но основная *концепция*- автоматическая организация и представление задач в соответствии с некоторым расширяющимся графиком - может быть создан во многих интерфейсах и доменах. Я называю это понятие [[Всё разнесено]].
Некоторые примеры:
* [[Поэтапное чтение]]
* [[Своевременный текст]]
* [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]]
* [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]] (списки дел, электронная почта, списки чтения и т. д.)
* [[Readwise]]
!!!Related:
* Для приложений, которые могут использовать простой формат карточек SRS, см. [[Необычные приложения систем памяти с интервалом повторения]]
* [[Системы интервального повторения как катехизис]]
* [[Система интервального повторения на уровне ОС]]
Если [[Duolingo]] просит меня перевести испанскую фразу на английский, и я неправильно перевожу одно слово, он может заметить, какое слово я перевел неправильно, и соответствующим образом скорректировать расписание для связанных задач.
Самостоятельно оцениваемая система памяти с интервальным повторением может знать только то, что весь ответ был неправильным. (Учтите, что я не думаю, что Duolingo на самом деле это делает!)
Конечно, по крайней мере для таких простых случаев, как этот, можно разработать взаимодействия, которые позволят более мелкую самооценку. Например, при обнаружении правильного перевода пользователи могут нажимать на слова, которые они перевели неправильно.
---
"""
Q. Приведите пример того, как SRS с машинной оценкой может выполнять более сложное моделирование знаний, чем SRS с самооценкой.
A. (например, определение того, какая часть ответа неверна, и соответствующее обновление модели).
"""
[[Взаимодействие - это центр затрат в дизайне интерфейсов]], поэтому [[§Система интервального повторения]] с машинной оценкой требует больших временных и когнитивных затрат для пользователей. Если пользователь должен вводить ответ, это может легко в 2-4 раза увеличить время, затрачиваемое на каждую задачу.
Некоторые системы с машинной оценкой избегают затрат на ввод, делая свои подсказки с множественным выбором. Но это превращает задачу генерации в задачу распознавания - гораздо менее эффективную для кодирования памяти; см. [[Эффект генерации]].
Если во время сеанса проверки [[§Система интервального повторения]] я сделаю опечатку в своем выражении SQL из-за того, что неправильно запомнил имя функции, это плохо, и мне, вероятно, следует еще раз просмотреть задачу. Но если я сделаю опечатку из-за того, что у меня выскользнул палец, я все равно «прав», как я понимаю. Ложноотрицательные результаты очень раздражают в системах машинной классификации. Конечно, они также неэффективны, так как подсказка появится снова раньше. Но рассердить пользователя - гораздо более серьезная проблема.
Системы с машинной оценкой вводят различные механизмы, позволяющие избежать этой проблемы - например, допускают небольшое расстояние редактирования или некоторый известный словарь альтернативных написаний. Это обязательно неполные меры.
''TODO - посмотреть на вопросы по ссылке ниже ''
См. раздел [[Как использовать (или не использовать!) вопросы|https://quantum.country/qcvc#how-to-use-or-not-use-the-questions]] в квантовых вычислениях для очень любопытных, чтобы узнать больше; например:
::Вы, наверное, заметили, что вопросы ставятся самооценкой. Если вы хотите иногда отметить себя «правильным», даже если это не так, дерзайте! Как вы думаете, какое влияние это окажет на ваше обучение? Вам нравится слегка трансгрессивное чувство? Должен признать, что да. Не смущайтесь, если это так: это должно быть, прежде всего, развлечением. Или попробуйте отметить себя неправильно, когда вы правы, или полностью пропустите вопросы. Какое влияние эти действия оказывают на ваше обучение? Дело в том, чтобы выяснить, как отвечать на вопросы, чтобы учиться как можно быстрее. А это означает, что нужно в игровой форме экспериментировать с тем, как вы взаимодействуете, чтобы найти то, что вам подходит.
!!!References
Matuschak, A., & Nielsen, M. (2019, March). Quantum computing for the very curious. Quantum Country. https://quantum.country/qcvc
«Импровизируйте мелодию в пентатонике минор». Многие ценные подсказки системы памяти с интервальным повторением в той или иной степени принципиально немашинно-градуируемые - особенно те, которые описаны в разделе [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]. Системы самооценки легче ответят на эти экспериментальные вопросы.
Используя систему [[§Система интервального повторения]], вы можете запоминать ответы на тысячи вопросов всего за несколько минут в день. Это неинтуитивное следствие экспоненциальной работы в [[Эффект интервала]]: [[Интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилия]].
Каждый раз, когда вы правильно запоминаете ответ, интервал тестирования этого вопроса увеличивается геометрически, образуя экспоненциальную кривую: 5 дней, 2 недели, 1 месяц, 2 месяца, 4 месяца и т. д. Если вы добавляете вопросы с постоянной скоростью, и вероятность каждого вопроса того, что произошло в данный день, экспоненциально уменьшается со временем, тогда у вас будет примерно постоянное количество вопросов, которые нужно будет рассмотреть в данный день.
!!!References
Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from https://www.gwern.net/Spaced-repetition
Nielsen, M. (2018). Augmenting Long-term Memory. Retrieved from http://augmentingcognition.com/ltm.html
Память обычно - это то, что происходит случайно. Часто это немного похоже на объект беспомощной молитвы: вы, возможно, читаете книгу и думаете о себе: «О боже, мне лучше это запомнить».
Одним из увлекательных последствий использования [[§Система интервального повторения]] является то, что они **делают память выбором.** После того, как вы примете практику памяти, если хотите что-то запомнить, вы можете просто заставить это произойти: просто уделите несколько минут, чтобы написать вопрос об этом. В течение следующих нескольких недель вы будете долговременно кодировать его в долгосрочную память, и это займет у вас всего несколько минут: [[Системы интервального повторения чрезвычайно эффективны]].
Это в корне меняет отношение к памяти! [[Основные практики в работе с знаниями часто являются ad-hoc]], и «запоминания деталей» являются хорошим примером типично специальной практики. Но системы памяти с интервалом повторения являются подлинной [[Исполняемая стратегия]] для запоминания конкретных деталей.
Это //не самая лучшая стратегия// [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]], поскольку довольно сложно выбрать детали для запоминания и написать эффективные вопросы для всего текста. Вот где появляется мнемоническая среда: [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]].
!!References
References
Nielsen, M. (2018). Augmenting Long-term Memory. Retrieved from http://augmentingcognition.com/ltm.html
Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft
Наиболее очевидный способ использования [[§Система интервального повторения]] - это запоминание простых фактов: имен, определений, числовых констант и т. д. Подавляющее большинство пользователей систем памяти, похоже, когда-либо используют их только для этой цели. Но интервальное повторение полезно не только для запоминания простых фактов. Тот же механизм можно использовать для глубокого понимания сложного материала, особенно если вы пишете наши собственные подсказки ([[Насколько важно писать собственные подсказки с интервалом повторения?]]). Такие концептуально ориентированные подсказки могут проверить вас на связи, значениях, причинах и последствиях. Эти более широкие идеи не кажутся наивными фактами, которые можно запомнить, но часто это так. Помимо преимущества запоминания этих концептуальных идей, установление отношений на более высоком уровне таким образом с течением времени может поддерживать вас в контакте с темой и помогает вам глубже усвоить ее. (связано: [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]])
[[Трудно написать хорошие подсказки для интервального повторения]]; написание хороших концептуальных подсказок гораздо важнее. Методы, используемые для кодирования абстрактных концептуальных знаний, недостаточно хорошо или широко поняты. См. [[Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?]] для большего понимания. Особенно актуально здесь: [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]].
Это ответ на вопрос. [[Многие люди считают, что память не важна для глубокой творческой работы]].
Стоит также отметить, что непонятная основа интервального повторения ([[Эффект тестирования]]) была продемонстрирована как для концептуального, так и для декларативного знания (см. Karpicke and Blunt, 2011).
Matuschak, A., & Nielsen, M. (2019, October 0). How can we develop transformative tools for thought? https://numinous.productions/ttft (see https://numinous.productions/ttft/#how-important-is-memory)
https://science.sciencemag.org/content/331/6018/772
[[§Система интервального повторения]], такая как Anki, в первую очередь предназначена для того, чтобы помочь людям запомнить много декларативных знаний, таких как словарный запас. Но те же механизмы можно использовать для создания относительно неортодоксальных карт, которые побуждают к применению, синтезу и созданию.
[img[DYDdBJMVMAAobpq.jpeg]]
Одним из ограничений этого типа вопросов является то, что, поскольку вы их написали, вы должны оставить контекст относительно расплывчатым: «применить призму утилитаризма к недавнему решению», а не «применить призму утилитаризма к смертной казни». Последний вопрос не очень полезен, если вы его написали: вы бы уже обдумали ответ, так что на самом деле это будет просто подсказка памяти, когда вы снова увидите его позже. Это ограничение делает описанную здесь идею многообещающей: [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]].
!!!Related:
* [[Необычные применения систем памяти с интервалом повторения]]
* [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]
* [[Системы интервального повторения могут использоваться для программирования внимания]]
Одна из проблем при внедрении и повседневном использовании [[§Система интервального повторения]] заключается в том, что вы будете тратить почти все свое время на обзор материала, который вам трудно запомнить. Легко запоминающийся материал будет быстро увеличиваться до интервалов в несколько месяцев, поэтому вы потратите на это немного времени по сравнению с подсказкой, которая застревает с интервалами длиной в несколько дней или недель. Ваш ожидаемый уровень точности для всей вашей коллекции может составлять 95 +%, но ваш уровень точности в данном сеансе, вероятно, будет намного ниже.
Эффект усиливается, если вы добавляете много вопросов в пакете, а затем какое-то время не добавляете больше вопросов. Скорее всего, у вас будет несколько сессий, состоящих почти исключительно из вопросов, на которые вы изо всех сил пытались ответить. (Это проблема при подключении пользователя к [[Мнемоническая среда]]).
Это явление приводит к ошибочному мнению, что интервальное повторение не очень хорошо работает. И это разумно! Единственная прямая обратная связь, которую студенты получают об эффективности процесса, - это их способность (или ее отсутствие) запоминать заданные вопросы, а в SRS эта обратная связь будет довольно смешанной.
Возможно, эту проблему можно частично решить с помощью информации, представленной в конце обзорных сессий, но я опасаюсь, что место встречи окажет менее сильное влияние: это (предположительно) просто то, что люди прочитают, в отличие от обратной связи, которую они *испытывают*.
Другое решение может заключаться в регулярном добавлении нового материала, что, по крайней мере, сместит долю обзорных сессий в сторону материалов с возможно более высокой степенью точности.
Связанный: [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]].
Другой подход в целом заключался бы в добавлении функциональных возможностей «подсказок» или чего-то подобного, что могло бы позволить пользователям чаще добиваться успеха (надеюсь, без ущерба для удержания); см. Vaugh and Nate Kornell, 2019.
Другими словами, сложные тестовые испытания были подобны черному кофе (отвратительно), в то время как тестовые испытания с подсказками были подобны кофе с молоком и подсластителем (небесным).
См. [[Желательные трудности, после Бьорк]].
!!!Некоторые эмпирические примеры
[[Robert A. Bjork]] (1994) обнаружил:
Баддели и Лонгман (1978), например, обнаружили, что британские почтовые работники, которых обучали навыкам игры на клавиатуре в массовых (и менее эффективных) условиях, на самом деле были более удовлетворены своим обучением, чем рабочие, которых учили (и более эффективно) в условиях интервальной практики.
[[Nate Kornell]] (2009) обнаружил в исследовании словаря типа GRE:
Во всех экспериментах интервалы были более эффективными, чем массирование для 90% участников, но после первого сеанса исследования 72% участников считали, что массирование было более эффективным, чем размещение.
… Участники предсказали, что окончательная точность теста, которая была на 31 процентный пункт выше в условиях с разнесением, чем в условиях с множеством, будет на 14 процентных пунктов ниже в условиях с разнесением, чем в условиях с множеством.
… Таким образом, интервалы могут снизить уровень успеваемости во время обучения и одновременно улучшить долгосрочное обучение. Когда люди совершают ошибку, предполагая, что краткосрочные результаты равны долгосрочному обучению - что они часто и делают (Bjork, 1994, 1999) - они могут убедить себя, что как стратегия обучения более эффективна, чем интервалы.
!!!References
Bjork, R. A. (1994). Memory and Metamemory Considerations in the Training of Human Beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about Knowing (pp. 185–205). MIT Press.
Kornell, N. (2009). Optimising learning using flashcards: Spacing is more effective than cramming. Applied Cognitive Psychology, 23(9), 1297–1317. [https://doi.org/10.1002/acp.1537](https://doi.org/10.1002/acp.1537)
Когда вы впервые взаимодействуете с новым предметом, вам вообще трудно предпринять какие-либо значимые шаги: по крайней мере, какое-то время вы часто не можете удерживать в голове достаточно новых терминов и идей одновременно достаточно долго, чтобы сделать что-нибудь значимое. . В этом контексте [[§Система интервального повторения]] может помочь, ускоряя вас через этот неловкий, неприятный этап до точки, когда вы действительно можете получить значимый опыт с материалом (связанный с: [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
Например, значимым способом выучить французский язык могло бы стать общение с франкоговорящими людьми. Но если вы только начали, вы недостаточно знаете язык, чтобы вести настоящий разговор - или, по крайней мере, опыт может быть настолько неудобным, что вы не будете его повторять. Системы памяти могут помочь вам быстро перейти к этапу обучения, на котором становится возможным содержательный разговор.
Это хороший ответ на вопрос. [[Многие люди считают, что память не важна для глубокой творческой работы]].
---
"""
Q. Почему SRM часто особенно полезны на ранних этапах изучения предмета?
A. На этих этапах ваше понимание основных терминов и идей настолько шатко, что вы еще не можете сделать ничего значимого. SRM могут ускорить этот процесс.
Q. Почему SRM может помочь вам быстрее получить значимый опыт, если вы только начали изучать французский язык?
A. Это может помочь вам быстрее достичь того момента, когда вы сможете поговорить с кем-нибудь по-французски.
"""
[[Системы интервального повторения чрезвычайно эффективны]], но кривые роста начинаются не сразу. Таким образом, новый пользовательский опыт работы с [[§Система интервального повторения]] требует предварительных усилий с точки зрения усилий… и отложенных с точки зрения впечатляющих результатов. Сначала это кажется не лучше, чем банальная система карточек, которую они могли бы использовать в школе. И долгосрочная выгода очень неочевидна: [[Интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилия]], но почти ничто другое не дает, а у людей плохая интуиция на экспоненты (они не понимают как и когда они образуются).
Хуже того: даже после того, как читатель добился значительного прогресса, неочевидно, что это происходит. В основном вы не взаимодействуете с материалом, который вы теперь надолго запомнили, поэтому вы не чувствуете внутренне, что вы запомнили сотни элементов. Вместо этого ваше внимание привлекают подсказки, которые вы, вероятно, забыли: [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]].
Учитывая все это, разработчики систем должны рассмотреть возможность дополнения «естественного» опыта для решения этой проблемы. Вначале коучинг по экспоненте может помочь людям увидеть, что требуемые усилия быстро упадут. Также может быть полезно отображать общий прогресс в сеансах обзора (как это делает Quantum Country), чтобы пользователи не переоценивали подсказки в этом одном сеансе, чтобы получить представление о своем прогрессе.
[[Глубокое понимание требует детального знания основ]]. Таким образом, один из способов увидеть роль [[§Система интервального повторения]] состоит в том, что она эффективно автоматизирует важные, но механические элементы обучения, чтобы вы могли сосредоточиться на более интересных, значимых или концептуальных элементах.
Это хороший ответ на вопрос. [[Многие люди считают, что память не важна для глубокой творческой работы]].
Тем не менее, стоит отметить, что интервальное повторение полезно не только для самых механических частей обучения: проще всего применить его таким образом. Фактически, [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]].
"""
Q. Как интервальное повторение может помочь вам тратить больше энергии на более глубокое взаимодействие?
A. Он может автоматизировать многие механические элементы обучения.
"""
!!!References
Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought?|https://numinous.productions/ttft/#how-important-is-memory]]
Глядя на чей-то гениальный ход, вы видите только конечный продукт. Вы не видите, сколько растопки было сожжено до того, как это внезапное осознание стало возможным. Отчасти потому, что даже наши собственные прозрения не чувствуют, что они возникают как естественное следствие предыдущих усилий - но они есть!
Скачки понимания зависят от накопленного ранее опыта по этим темам. Иногда это накопление происходит полностью в нашем подсознании (наши «подсознательные задворки», как сказала бы Мэй-Ли), но полезно спроектировать наши внешние когнитивные системы так, чтобы наша повседневная мысли и идеи могли срастаться с уже имеющимися [[Знания должны срастаться]].
Одно из практических следствий этого понятия: вечнозеленые заметки как фундаментальная единица работы со знаниями.
!!!References
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов документальных книг.
Почти всегда внимание сосредоточено на нескольких исключительных моментах, когда мы пишем объемный фрагмент, книгу, статью или, как студенты, эссе и тезисы, которые нам нужно сдать.
Каждое интеллектуальное усилие начинается с уже существующего предубеждения, которое затем может быть преобразовано в ходе дальнейших исследований и может служить отправной точкой для последующих усилий. По сути, это то, что Ганс-Георг Гадамер называл герменевтическим кругом (Gadamer 2004). [[Герменевтический круг — Википедия|https://ru.wikipedia.org/wiki/%D0%93%D0%B5%D1%80%D0%BC%D0%B5%D0%BD%D0%B5%D0%B2%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D0%B9_%D0%BA%D1%80%D1%83%D0%B3]]
Но самое главное, без постоянного запаса идей вы не сможете развивать какие-либо важные идеи в течение более длительного периода времени, потому что вы ограничиваете себя либо продолжительностью одного проекта, либо объемом своей памяти. Исключительным идеям нужно гораздо больше.
То, что вы должны найти в своей голове с помощью мозгового штурма, обычно берет свое начало не в этом. Скорее, они приходят извне: через чтение, обсуждение и выслушивание других, через все то, что могло бы сопровождаться и часто даже было бы улучшено письмом.
[[[Leaps of insight emerge from prior thought|https://notes.andymatuschak.org/zSn7SX7yMtnh1ZCQEG44TJoxrH7Udpm9oeEm]]]
Крайне заманчиво наполнить свободные моменты активностью: книги, задачи, просмотр веб-страниц, чат. [[Культурные привычки по умолчанию заполняют свободное время чужими идеями]]; чтобы освободить место для себя, я должен чувствовать себя комфортно с «пустым» временем. Я считаю, что мне часто приходится скучать, прежде чем мне удастся [[Быть любопытным]] .
Итак, наставление такое: когда вам будет скучно, оставайтесь с этим чувством, а не сразу же тянитесь за книгой или другим занятием.
Мы не были уверены в этом, когда запускали подсказки приложения (см . [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]). Я все еще не уверен.
''Цель практики иная: пользователи не должны пытаться запоминать ответы на подсказки приложения''. Когда вы видите ответ на запросы отзыва, ваша цель - сохранить ответ в памяти. Но такое поведение обычно является пустой тратой времени для запросов приложения (а в худшем случае оно на самом деле контрпродуктивно: ответы на запросы приложения не следует извлекать из памяти ). Ответы на подсказки приложений требуют иного взаимодействия - больше похоже на удивление. Некоторое указание типа подсказки могло бы помочь людям правильно взаимодействовать.
''Но в реальной жизни у подсказок нет ярлыков''. Вам нужно решить для себя, запомнить ответ или вывести его. Может, индикатор окажется бесполезным костылем.
Когда мы запускали подсказки приложений, мы помечали их для половины наших пользователей. Наше исследование пользовательских подсказок приложения показывает, что на практике это не кажется важным моментом.
!!!References
Adjacent email from Ben Kurtz: Feedback on [[Quantum Country]]
Когда я просматривал практические вопросы, есть ряд вопросов, на которые я не помню точных ответов сразу, но знаю, что помню достаточно основополагающей теории, чтобы работать над этими вопросами.
Примером такого вопроса (который я припоминаю прямо сейчас) является вопрос о примере, где вентиль CNOT воздействует на контрольный вентиль, а не на целевой вентиль.
Я знаю, как работает вентиль CNOT, и я определенно помню, что это некоторый пример, который включает состояния суперпозиции | +> и | ->, и поэтому я могу легко определить, какой из них, но я не помню его полностью.
Есть ряд других подобных примеров, с которыми я столкнулся (особенно как человек с сильным математическим образованием и прошлым опытом работы с квантами), которые похожи: я еще помню основную теорию и могу использовать ее для получения ответа, если я потрачу на это достаточно времени.
Идеи обычно основываются на других идеях. Некоторые напрямую объединяют несколько предыдущих идей; другие могут быть трудно выразить без специальных обозначений или терминологии. Когда у идеи мало зависимостей, вы можете представить их все, а затем сразу же выразить идею: зеленый означает идти; красный означает идти; зеленый или красный светофор, указывающий направо, означает, что вы можете или не можете повернуть направо.
Но если вы только что познакомились с огромным количеством новых терминов, вы, вероятно, мало что усвоите из предложения, в котором используются многие из этих терминов одновременно. Вы не можете одновременно манипулировать всеми этими терминами в рабочей памяти, и у вас не было времени закодировать ни один из них более надежно.
Дело не только в сроках. [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]], поэтому, даже если вы дадите себе время усвоить предварительные идеи, вы, вероятно, забудете многие из них.
Это может быть частью того, почему некоторые темы так сложно понять. Если вы пытаетесь изучить квантовые вычисления, это потребует новых обозначений, новых терминов и новых концепций. Это как если бы вы читали книгу, которая начинается на английском языке, но вы обнаруживаете все больше и больше испанских слов и предложений, пока внезапно не замечаете, что вся книга на испанском языке, и вы ничего из этого не понимаете. Вам нужно будет усвоить словарный запас и грамматику, прежде чем вы сможете следовать сюжету.
::Любая относительно сложная деятельность требует держать в голове больше информации, чем позволяет кратковременная память.
(Эрикссон и Пул, 2016 г., стр. 61).
Более конкретно: [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]].
---
!!!References
Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft
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
iVBORw0KGgoAAAANSUhEUgAAARQAAAICCAYAAAAOFzJiAAABQmlDQ1BJQ0MgUHJvZmlsZQAAKJFjYGASSCwoyGFhYGDIzSspCnJ3UoiIjFJgf8rAwiDMIMigzqCWmFxc4BgQ4ANUwgCjUcG3awyMIPqyLsis5F2FhyZ8Tg8tsOCzmfp8rSimehTAlZJanAyk/wBxUnJBUQkDA2MCkK1cXlIAYrcA2SJFQEcB2TNA7HQIew2InQRhHwCrCQlyBrKvANkCyRmJKUD2EyBbJwlJPB2JDbUXBDgCfIxMLI08CDiVdFCSWlECop3zCyqLMtMzShQcgSGUquCZl6yno2BkYGTIwAAKb4jqzzfA4cgoxoEQy4phYDDTZGBgUkWIpUUwMOwrAnpZFyGmpsTAwJ3KwLDndkFiUSLcAYzfWIrTjI0gbO7tDAys0/7//xzOwMAONPPv9f//f2/////vMgYG5lsMDAe+AQCHRV0I/KGkpQAAAFZlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA5KGAAcAAAASAAAARKACAAQAAAABAAABFKADAAQAAAABAAACAgAAAABBU0NJSQAAAFNjcmVlbnNob3QfPE58AAAB1mlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNi4wLjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyI+CiAgICAgICAgIDxleGlmOlBpeGVsWURpbWVuc2lvbj41MTQ8L2V4aWY6UGl4ZWxZRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+Mjc2PC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6VXNlckNvbW1lbnQ+U2NyZWVuc2hvdDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+Ci7xUuwAAEAASURBVHgB7J0HvF1Hcf/3VfUuWdXWU7Ukd8sV916wMS0kpsYhpEEIfEgg/0DAIeQDhCSQhCQQQoDQHTABjAFjcO+yLcmyrC5Zvff62v3Pd/bOvXvPO7e8XrQr3XfO2d2Znf3t7uxsOXuqMuJcdBGBiEBEoAsQqO4CHpFFRCAiEBFQBKJCiRUhIhAR6DIEokLpMigjo4hARKC2sxAM5CmYKgEnTjB1tob0Pv3JWo5VVeS8Z123WCjFslHMnywXCyvm3/U0+ZTsLqNSVclf82lbOMXCQv8kdRgWcgz9+xqNx9tLVUq2UmE9n1cQRaI0ub1/Ul4vY1gShVLDqxRN27By6aTx62qaMA/de1/V2VWegWeh+ALOqG1i1SPaKd1bDbuLe6nyIyytXDtCg/yl+KWl0/00A8BCscIArLxL97Xw9FDvmx5mlMlr5TR5vm1pfOHjX5Va4XyqXu3k+RTKku5fiiatn8rzLMUvH6vwrqtp0vlZ71+YtvXj6TQ9l9ekVOWfS5V5oQLK5y1/15Z/Ib9SMfO0nqayuEbVERqj7cprt1goQFFUJ8u4LrRqmpubXUtLi0ObVldXu5qaGr23TBI305pxrZlWV11V7aqqqzS+0kikKmiqhUb8Q41sMkBPXGira4QexgkZLC2jsefwSiPwVkvoW/q+IzSlOHaEX1+m6c68FpYlKFAn29bKjtSHjtCQV+pnWPct/4Wymq+/dohGSMlp2B4KuXbfU7colIrElYbeKori4KGDbu/evXLf6saNHedGjRpVoBwaGxvd8ePHHdchQ4a6IYMHuwMHDigd6dTW1rqRI0ZI2BBXW1dXkHRrS6trbml2TU3NEq/GDRo0qCC8fQ+lir19nCqJ3ZHU0mnSfUvL0BGa0hy7OjRdwvK+6TFKS9cRmtIceya0NxRKp1d5OgpNk1gmKIYHHnjALV26VNnMnzfP3XTzzaI0hqiCGTZ8mNu1a5d7+OGH3dq1a93b3v4ON2XyJPfII4+4J596UhXEsGHD3GWXXeYuueQS1f5YI1g9TU1NrvHECbd69Wq3es1ad8EFC938+fM7Kq7Qte3dOsGsLGlHUkunSfctLUBHaEpz7OrQdAnTfcO0y8cIY/v7jtC05XJy+PSaQqHhL1m82N1zzz2qDOrEurjnf//XjRo92o0cOdL96Ec/ch/+8IdV4fz85z93y5cvdzfccIMbPWqke+rpp9zRo0fdjBkz3AixTtSqkfISg0etkYMHD7jnn3/ePfXUU2rBLHvpJYnbIDEqd/RKYjQGaiRZrXyMtorG/KHvSpqu5ldMtr6QTtfJ4EsjmVf4R9cdCHRaoVBg7S0uaJgvqZX5EoY6s2bNcvX19ao88B8/frwbLYpl6NChbuHChW7atGnu7rvvVguEoQ8WCMqE+7Fjx7opU6bI0KbF1Qjfp0XZfO9733MoqGuvvdaNET5YKWcsOKNi/PJ5KpUzFpVDhWPsu4YmlMGnk8a3UIaQBmWYXjKdp7GcpvO30MJ0zDeNJi+p0XRNXuGLM275dLx/b/ztiAwdpemN/HVaoVhhtUd4aJicmjVnjjv99NPdJz7xCX2+7rrr3HnnnuuGDx+h1gnzIlgrDGtQELgTMoxhTuX+n93vpp06zX3/+99373rXu9xb3/pWVVIMjw4ePKjxsH4mTpzo3va2t7mhw4Yqfbk/NF7vkLJ0UaZN8nUVTYhrqXTCsJAm34za5rizNHmOXYNPKHcoWzKdMCykSctrXglbefpYpSXOpxjehTQ2yX/8+Amdlxssc3o487fhdkY6ylap48xjsNBA/a2rrdOFAYvPYkNLa4vSQh+mA53NgdgVOluYCP3wTzrwyec8Gdp9z51WKKFoeUAsK77Y8/7E9k8oBoYyWA8f+9jHHAXz3e9+1/3fj3/sLr/8crdu3Tp30003tZlIZWL1xhtvdL/3e7+nlsk3v/lNt2TJEvemN73JjRg+3P31X/+1ruocPHDQ/dVH/0rDPvWpT7lBYgHlXV6ipKRWUb2/L5Z8RQ6qacqMveea7GUDGhWgcLUoR1PAL08DSeGTIegrKxXRO88p+5CgyXOgInaOJkytL+Y1iU8eEVRKMbRMKRWi6GlDGhYSjhw54h5//HE3YfwEd+FFF/rVG/Fn3m7btm3ulVdecTt37HTHTxx3g6W+Tp06zc09fa50bpOkng/KxT8hHePO3bvU0s6XSRZfKScUET+sdsK5HyUd7NChw1xVDZLmXaHchU/5WN1/16UKxYC3wjHx8/74+CdAYshCBccCQaGgLJhbQRn85Cc/cdddd7345zW8rdIwQbtjxw537Ogxt3nzZjd2zBiveIQXqz4AT1wsmd+76y4dTklCJk5Ohrw0FpSXNO0urJDJChDyyldb72u8/NWefJr2VMivGIfSND7U4hhnnvP8kum0n8b427VIOhochlnJyzWnBImUl63tU3EaZZ/9U8ghjQaFmvf36RRysKdCiYUmazkckbq2f/8+radbt251H/3oR92FF17ozjv/PLE8al1jU6N78skn3Y+lQ1wsc4NYyTjqN8P3c845x915553uzDPPEoUwRC2T1WvXuO3bt+uixLFjx0wEvWLRNExvcKfPO10s9uEqB/WZucPTTjvN1VfV62qoERXKXfhkcXri2mUKJddcBcDCCuN7DBp06I8CYZL11VdfdV//+tc1rw0NDWp9TJ061X1s6sd0OZgA5ldmzpypE7AUzpTJU9y9P7rX3XfffW7SpElqrTA8UhkkHdzgIYPdm8VquUysHUxNCwtlIJ6PXVjZvB9/pWASckODK8kvQZPl1KU0KkM70zG5w+pWTrb20pTjl4ZbOZoO5zVbF6A3xUDeVQbPtKBO4hU6hi/M8RH/1Q0b3Cfu/oS7+OKL3dlnn631dsKECRoODZ3bZz7zGbdv3z7pCK9z82TFUtMUGbCgWZlcs2aN+9KXviQKZarS0SkSRv3H6gkdHSJpXXDhBW727NkaxKro+vXr3eHDh3UqoK46v00iDdeQX0/dd1qhWGXIVdKsRs89S070PuiVoMGKQEmg6dHO+A0WpTBMJmKrZaPaSJlHqZKNaFIqqjT+8R//Ua0OlMsdr7/DXXvdtbLhrVWUzSBRNMOVX5hOfV2du/XWW0WL+81wFmbyGsChnObHlV5P4wZyF4YTKRsnDFDvdK7FZIA8qeiMZTGajsiWzLulYdeSMlikxLUkTRfh0+G8ZssO+tDlSidFPvYu2bzGoUOHdPiC1bt//34Z5jymCwVzZO4vdPBji8MH3v8Bd7zxuA6HvvCFL6iSYBXy9a9/vfuY1HPq9wRZcDAHdigIhkkoidDR4W7cuFHnAq3caDPQPPPMM27h+ee7U2R+0OZSkvUkmeeQd3fed1qhWOHYKL1wjE5v4LOmDTTbo0JDPCwHlnyxOnBh5czxE4VQK3GZnMXhjzWiFkmWnwZkw3LpyHNddt7EeGk8oUERmLOwUG6VT+X28cIwT2dFLKyMkV6tGAt9s1wkRtY/IYPvM7ufJk39mWzJYUM+W/m8mp/R+Oful7sj+PjZHRAX+QrwpsS9v5ZWGCZRT8hk65ZtW3QlESVy9913O4Y4XBsbm9Q/rKe+Rkpdlg7spltucvfee6+sND6t83vjxo1zO3fudL/+9a/deeedp5ZLvVge1Cf9J1eG/jxzDR3Kw/x8ela3fKzjMgcZOqvHlldKpZAijN19951WKCaaVchCsLMFmo1ULCzpT/Su5Ge8lG+gTNLSsUIoRYN06S6kSsbI0yTzW5yqa2lKyZ2UNv+clyHvx11xqcN0ejOvXoHmh9o+J3m59TmoDwxvDh05lJvYv/3223WejwUEJlzTHfwkJVEKWDJsVcDyZg/UqlWr3FVXXe3OOGOB/M5QC5t4OGhQGAzZ2R6RdFjiKCSurAbxT4dfQs8GTbZKGC/jp9cgP0mePfHcZQql3cJKaSpAqqHbR90CwLLcVukSWnu4U8lMqbSHLsbtiwi0rzR5H4y5C4YgWMAMO7CMmWBlbxS/MbIAYFY19zTqsGGjBEaMGKlWCStBZ555ps65sPAQxsMCYTjExC6KiAWK0NWK9T5nzmxVKHtlMpi2gsWEfMwxQtMXXbe+y0PvxKqN9VK8xMcLejhbrweYEBy0MQWLU80sBZZ91AKBF70F7+d4s9Cbi6ZclFD+CJscXcjTwsPCNb+8KqEiJh0ytccf+r5Agxz9Ue40mcth2rm8Urdo2CgCrBImX19++WWtw6zSYHWceuqpOkl6//33u4aGBt3ikKxL8Nm9e7eu3qAwUBxpcY7KRO7WrVt0DtHaCDnAEV/YiMvjgCXDvirPj3aUDyNm0iXTTIZ3x3O3KRQAQmmwzMUPJYBGBwwcM9YvvPCCmm4zZsxQpYMWRgHV1/klMcasuGrRKIxRUSDwYbb80UcfVZPwiiuuUH9MQ7Q3GGMeejqvvMxUBGDuMTWJXx7wYgpB2cc//QQBm1+gNFHyVj/SxGdSljfbwwbuG7cfcmgnJm+u89Ip/tTLNGd8iF+snpEGnV17XPKt+lK0xdItRdPZsC63m6zwTPu+JO/R8AIgZuPHP/5xXU5rbW5127dtd2xKO1d2xv72W37bnWg8oZNfgMxbx2NkS/0r8v4OjX+IrNuzo3aovG2MIvrBD34gG4YGy4TXLsdMPIXKG8tvfvObdfluy5YtSoNpuGXzFlc/qF5N2OPHjqsco8eM1nFoaBmFQGrFk8riu4jiFdDyGtKm3ZdTS2nhaX5pvEO/7qQJ81oqnVJhyJoWnuYX5ivtvjyNj4HcoQuVSZgni4MFLdvJ5DGMaaHI7+tDfU24UdL7E8uojA/PRpPn4u9o8MQzmjC8GA1xioUV8w/5dvd9lysUA2fJksXuy1/+snvooYd07If5yFo7CqOppUmWxF7VDTvMoG/avEmVCTPkzIYzhn3LW97iPvV3n3JXXnmlPn/oQx/SjT61NbVq6bCGP2PGDBlnztGNRPDZv3e/+8//+k9dNWK8edONN7mvfOUr7rW3vVatGCbJ6DFQOP/+xX/T+zQtTp9RpZaOVUoqSui8v68s6WFhbE/rafDP3/lYfvKwMIVyNG25mBxwx6VxTaZcOU2Y17xsPh1NLvsnH5a88xHSpErGbCtlW588jZehbQxLzzdoH4u/+Zg+T207DPM3dDwn/9fCuIbO/PPcofZxLMyeQzruQxoLK0Xjw9pKV4rG+Hb3tXCtqktSAx6nE1dMUDG5xcQWwxEaMyYelsIzzz6r1saKFSt0vZ3hEcvHt8neEZQFVgzWyc033yJzLHW5nYdsWLvqyqvcWWedrUrol7/8pU5SnXXWWW7QkEFu0aJFsqHtzZr+PpnMwvK54447dKjFdmjGoUyQNTY3JUxRLzey5+98ZfSNgJC8ozfwPUI+tlUN/EMuSapCfsS1Sh/yMqrS6fi0LK5di8nt/dtHQ07SZCCt4nKn03Qur+mYdiSvhlNbZUIIsheqC4vvQ4spBmjS6dLTgVtpGmKkuWLyFfNP49E9ft2gUDykc+fO1SHO12UX4G233aZvBaNcGJ8ePnJYtxzz3s1dd92lG3UYXmA5PPbEE6p46gbVqWXz5BOPu8NyCNNQoaU6sq7/4K8flDmQOlVWDKVQEDtFCTH/wu7F5xY9pzsWUR4oMhQVbyyPHTdW32wmPrIUOi83lYkqpdqeYY+6ZDWRZwnyFSsMk8pdgkZHUW2qUJZGkwp5kTBhJdLJhXkp/d/iMmje2kmjVT5HE8pXPJ2O0pTLq/INs6r4iHDqQtm8UrAyChWAxU6jwY/yS5arrxOeoq0M5s81L0PHaDwvX4fgFfLzYf5v3t9802gsrCevXT7kMeF5v2GkLJ9x/ADDGGbPacRYKfwY0jQ0NOhSHBOlvK9wyimnqFXywQ9+UC2MyZMnu+Eyifuud77LnTZ9ui7bMC9yzdXXuIcefkjj/M3df6P8sGZY5vviF7/omIF/3ete5y5YeIFWEFaXkAEriDmdO3/nTjk6IZ91Cl8VSO6arVii5AorhuVOijobFlZWqjH+xVw6jeflaajunt7u2k9TXAaVVdhbfknTp1OchjjpMnSEpqvzavzIRaFLz6vIXBitzVNaXgvLuA2JeoSY4tExGs8bGZKurU9hjDSawhg989QtqzzWGIplgRlwnE5ICXis3PDC38oVK92tr71VlQorQ9/+9rfdO97xDlUUKCHr/VEMulrDObGiSJj5ZiiF9ZNzlIAIwnKypYMFQ42S6K46ZR0/WSngZXlJC/NpWQz/FP4tTUPMtGpSjB/cilXUrqQpVDhhfvJoFPry1NfzWhy74rkqhqrPb/tKr6tp4FfMmdzWXorF6w7/blEopQW17JaOVXloR/iVpyGGOd/sy9NY/Py1IzR56rZ3HeHXl2na5jDv03VyW8Mq3ot3XVp5+dPueiodn7blO02S7vLr9BwKEPFLc+n+DCPa0lhcuyb5eZrCUP/k+SXj89wRGk+XTydvQ6TLben6tOzJrh2h8bR5CYwX13L80qjK0bQti/LpdBVND+WVIYT8x4pKNjKPmMcoRDq897Zh3iekSUOcmEn/UjQW166WUsdpjEPPXzutUPINTkCUCa1koVkBZkM0hwU0ngLiXO5zNFl+BHiafMFrIWdpCDNqk6GAJhuvEhrofO3z4+0wP6TTRvZAhoI8ZCXqCE1WAi7qyslg8Ri357ATT7tPkyFPoxHtsSRNyK+v59Vk1auUEdjYvEYujDIKyi+tDnlgQlwLaQw4ePp/5pPHH3+roQX1J0tjMkBZIFtQhzRMuWRTycpdQKN+lgtCet51esjD6kwIUiVZIMvdRUOBFDdt06ULafLFkb2TSxo/DS2SVsgvTLE9NMQFo3I0If5GQ5pFZaDSFSmzojSeYToOxTDoBppQbstreXzAsW1to1mm+ZfErgM08AudyY1fSRkk3KSunKYwT5RnT7sutVCKCe81dD4011DyXm3uStEkw4xYCwjzNnAGaeU0QkEjCXgUvU2kRTxNL8U/x6NYWMK/IP1EWMgrjGf3JWUQXhYvx6cCuYsq1WKywbxYWDH/MjSh3OF98XTaKhOrDySV5krVobT4+GndSuTJ0knWO5M76R/yVhkCD2iMX+BdcOtpjHtBUI8+dFqhhNKaRvRg5SEIq7ABmcx6Gk0hv7zGNn7QGD/kwL+zNMjl6wbc2kqZy2+B0gnzKjEKeoZ8mK8W9mzXLMcupPFSh/yD+yLpdJimCL/ey2uuhFQEqw9ennwdyt+BTR6fsA6Zf74W5O8sjNS0nuRw8LzyMfN3bWhyoqbIUBCWlzbnrTKXljsft+fu8psxOpgmDVoLQeitF/PPvpf3DV4hz6VgNLRXC7GrRQKqwqII0slGsnQKaIKewtKxK/FK0ViYXY0vV58PL5Pyk3SMr8lqcUxweyYf+bi+EhiN8Qa7fJwgHWFmfCqlgac5z9M/6X2RdCw+V0svJ3cpmmwhtaEpI7elZ3nycnZFXr1AKo/IbY04h3o2QcrYO8PdP2mw0kHp6fP1wWiIK/f63/tp3eeWdzZweu8v3sM8s08SnvHvd7ShCWOip/LYwC/LX67e3/MrlBs/fHredVqhWAYVv6yWBlzzJ1+UDz2F+Sv4klf2hfBrbmZ/iEZSBPhsqG2AU7ociADqnfHLPurFZLB0cmGKdl6GnL/cGA1+RqeVUeXOV3ANz6ZO3nI9nzCwvNpVw7KCmp/SAEZWFvM3vp7GE1mYXY2GuOaUH3inpEOcUAaLlKMhQnvkzpZru2jK5NXqgOVRZQtoENFcTu6K8mpUcs3K7ZVLtpyEhz5rsK+TAYXCmVYWiJbVMxod+dkP5euwnDsre6DYBWW8czwNu5yH3ASMcvkOwquFplraAHusdAMmdSZf1Lm2pIVIkMRHHrtmc9pWliCN7rrt9KSsVYxQQPKfLfvQ299TEKpEmrVA2kbI+/AhMN4IrpGfFnI+SO9KppOIa4+V0CTjhM/hPTyTz5ZOeE3GST6Hce0+GSf5bPHCazJO8jmMW+y+FE2pMOOXjJN8tnjhNRkn+RzGtftknOSzxeNqYVylImnj4xYXhoV11vzDONxT31tEkfApXd0oiWcJ10bBJOKaQk145x7tvCDaArKbM/nsmvTnOa3NWLzuunaLQikmrGl1zjnJhLtaixGIP5aKgdpTAPliyxaVVkAE9NXNKoh/CqsgldPTYNdYfCiNX3toPJ1U/hTVXJkMcMi7ymiScnvJ2yN3R/KapynEE+krkzufz5CG+yR++V68kKaSp47UX5O/GH9KONjfnRqtSnZ78+4a7aA9baA9cVMT7oBnl07KlksfE7E9ygR+9ALQ0CuIFiqXRKfDrRB8RaQ3g2U+Xe/PMz/fFIiBMxr/lP/rqUvQ5HqeQn75dAv9842klAxpNCVkSOQln5/20njKovik5JUUuiOvaeWRZlFr8mX+lFQmPgOpHPJllRpcVplARedLG6D99HXXJQqFqut/hZWYzFuYfp5AlEOllkkIHDSYmJSb8bNwUwDmn+wR8v5GITyylTofxl3WoUEk3Pt4W8OCgljKI3wmTlkaiZFKI2nm2lmOj08ViiSND/FjZgsrvBbK7eNn+eXylvf1tIU0xo9Y4BU+q5+Sl6BJkVt5tDOvOdkCGUyWXJjK0vZPodw+Nn/tZxQl60M2PmeK0qCZK0l1WaWC4rEf8eyeYP1JOO+h6WdKczU6lWOBJ+nSudp7cGGg5adtKYWxeua+SxRKFstsD10ouAHJkXkt2ZcCwxiAC1BNooG5L+YAkpcILS3iASAFhtO/UumSPYKlr5HkD+AXo1F+2XDj5+kIgbd3+St3cPSukAa/BI1ETfaaORq98fz0Vqh9WFsaTU3yijN+hTQmk5dbI2pcf2c0Bf5Zfh7VhNxK62VLp8E3QdNFefUYdEVePUL89Xc+J1qu5eqQhDPvRx0sVkPB1KxpvjPF2/XNjWKRn2jU82ml0knCXpnw4muzhCsvURSmdLxExf/SfkiD+MhtTvOTUvctvCevnV7lCYUli2Fh5cKyQKZZJy2ywrN7z245VGmnHg/Jt1+LOVU4FIyA59NKpKZAt5XBoE+VL6DxDc2nrjQ59mFIVrogLJS3sLBzkXwUedQKnECp62lINxWhAJykbO2n6Xq5O4JPCblBwRRvxmpBoVXVpmSD+mDlSgp0iEWdsOZt98OHj+pJhIcPH9E5j2lyoDWK49DBw3Kw9SxZXKhR5bJu/QY5bHqCnt2DkglLwuRNpqVSS1w+QibHugtNSCWxU+RO8uiJ505bKBSTr7pBXc1Kni9C5kIKdTsfncaE3C4HIz377CL9DjEKAz9+polDEKjA0AFlCGeYTugPbShbGFaOxqdLWnkqaPJ0eX9LJy3MaLh6bnk6C4M+LZ320IQykEIav2Q6naVJ8rP8tEfujtBULDeNVX4aXxLStLQnL6w/GiH7x2MX+si91DnMibwNlgiXR9LhpPsNr27Ur18ePHRYzjPe7I6KtUKHeUw+nL5VjjY9ItYJh67THnbt2uX2yqdLN2x4VU8fTH5KI0zFyjPT4vNjYeQJlyq3D+rRv522UMiIjVW1x8r2CGhMHGGYiknrhOfdu/fKyfcvyolqo9zcuXzekc8YcDSjnFcia/CcTG/OAOXMEznhRL1Vmwfp4BnKoJVJmAG63svVeoBkPPNXuS0PnmEhTZZHAb+sDAieTEvTgQ88E7JaWl1FQzJF09EgaRKhDClyGw4mN8/laHyyPh55KSpDF+JDMkXTkVIAbpzJnn2SC2FZWS1SNl5B3rNh0BtMWAkcKV3YNXrO/CXuCTnelEow7/S5sipT4/bv26/zf6tWrnL75YD1s844U04r3KEfWN8qV8L5lC5nIF944UL9TIfJQS3PpyUy67PIIwquulYkUcEK82q0hflGup5xnVYoYWMwkS0zaWEWBytkw4b1opm3uc1yMv3q1etkiZjDkryyGCHfin3DG+7QwofGN9XCClIsndCf2uBVm085DLN7kyl3paCylc78wrh2nys8iZStv9lChjzfEOHRhkYrg6cLw+ze0uWaS8dogjwl0wnpuDd+YVmENEm5Q5rwPieDeCZpQn6pNCa3BObkSeADHS6XjtF0KK9eCcArlC0pN+nl5Anu8cdZWPZJL/kG7n3tL+lMmnSKm3v6HLdu7Xo52/gFd845Z7kRchIhdXxHzU53/fXXakeJJcIiA8MhaE6X41KXykmCe+WQdU4kZKtE4dBBSy/XBkgzL1te4YX+lleTr6eunVYoYWMNM6T32Vz4b4mgUfPFwZo657xu27ZDjn8cJp9vnCHnv9YL4HzCwOm9Va4sG71wnGPSJWWw8GL+hCfDrIByFVAqst1bWEhnYQVptZNG+ZWiCcIsna6WQXEI0umLedXORFpIG9nKyG34GnaW19yz0JvL33mfMC2vQX2jtvhp12NinXB+8ZVXXSEfCFvuVopVcsEF58uJg4PUquCzLxMn+mNOva3DB+9kQUIOTGcor6cPZtU1LcWUilcOpiLsmpUzK0hafSyMmSZx1/t1WqFUKpIfN+Zjo4WnyvdZWxe2ymcwXtIT8BcsmK+HShMLgApc9tm+KmhhSSDNv9S1JE1YyYIKm+RHhUvjU8wf+mJhxfxL0STlCZ9L8QvjhfelaIqFFfOHb7GwYv4laUT9m4UaylyKxuJZGRl9ob3qY1kco8lfqYOStp4ZKnfyhkgpx+rOCjnGlA+iH5f7ufItqcGDh7jpDQ1ugnxr6pWVK/Rc5WHDhrq6eml6Uof27T8g30BeratC48ePVaWSTAOZUS6gQDvKtwEvH/HBNe/y/nm/nrnrRoWSzxR3WB46oRpYKQAzZcpk/VDX9u3by+4EpOD5FbgQx4IAHvIyFASVoKHQKDrvEmkVhIUcQ5rQn/tiYYX+vj6Yn11L8ypsnKVo4OPzVBkN8UvxM3yIF7rKaLo3r4FsJJSoL6nKIyAJc+Mxo875OT3mAslh3s7Ox4bvZPnw+SA5KB1lwsfnxsqXMsF7zKjRbqgokWHDUSR1bvSokfKOTp3bvGmzO00+LTpevsbAx+iIpwnk2easFPWSNGp0SgApyrlK4pTj0f7wLt56b5nIl5AVIHMm7CNh9SbniCYkgI4/VksbhZGNXFVVI9aL337svUgrn042mlza+psMaWF5Xtx5ftqbZeXK0xTy9TzzNJ6P/bW4dg3902k6wq8v03jc2ptX8DKaQuzam9d8GYokwoo6Zs7zyla+CusQyuTY8ePCJ02dGOfkVaXIe3pB9Jn6zurOiJEjRKGMy84d5mUMiPQWNDhsHUXFdEHoiuUH/552XaZQgM7MybAqWGYpUBQKHzlvX6FQIQCyVld9iqYTpJ8E0WTAP5Qt+RTShTShv78v5GLhldIUUhc+Ga9kOoWxCp9CmmL4hHGS95XKHdJVSlMoaeFTyC8si8JYhU8hTam8hvKFHPDHmYIJw0IZwnTsXidT21l/kTHptJ2I7si1lzINX4c72TaAQiEPodxhXsO0LK+hX3ff27xPJ9MpBK1Az8oD2SdzvIrNUhoKolJHXN60BMikC9PhPq3wlCaIGNxqUCmaomFJQbLPvhMsxCItalIGX5HTYub9KqUJ44X3nlO6bEHnnU+wzF2fz6tk3srP4+DzrnIHwAS32RynYeT96uQLlu2rv2m88u2BT7zUSLso1xoytAFpN6RvSiKUuyPlV6Z4OxzcZRZKpRJgOjKrzex2OUtFLROAlP0oBmSl6XQ0HunQe1EZrQfpKK9IN/AQaE/9NUXh5+XSsShXx7RDzSoThjztcT3VZkKZOq1QpPXlRqHWGEnAdDOaNPTXxIXGzkRJ7qDVcPnDnhTGijavovyssWevxA3T0edkWBqN+BWVm7DAmWmsvLP+Ye9gUUP5zE9pEmkVhGUfivEr5g9ZGq7I0BEaKSBVollx9GIoFOWXRtOBvGqlD+pQe2QoKlsWh2S9C8soDEvmtU1YNq/mT51gDsTv6C4+p0Lz98u/srkzmzFTCf45LQd5BJJtgBCTQe+zUeES+ufCKI8edp1WKGGD64jsaHzeTzA+AMNek/Zq446kHWkiAp1FwJRLsRdbbdil6Uj7ztXzrAVMk0+qla5qA/DpadfrCqWnMxzTO7kQsEaVa8hZa+NkQMHy3pN5NQusJ9PsV2kVKxT8S4UVy2RX07SXX0fk7ggN+W+vbOVo2ssvLb4plmLlE/07h0C3WCgUZLGCKxZmhZ9G15M0wJkmQ+dgjtS9jYDVL+Q4Wco3zHNP4d8tFgoF1t7MdKSQe4KmVD5KhRUrwFI0xcKK+ZNGsbBi/qVoisncHTTF5CvmX0qGYjT4h2HF6ksYJ8SgmH9HZClFUyqsq2UI89cd9522UEKhSimSYmHF/OFbKixMN7zvKZqelC/MX1fc9xRGPZVOKUyKyVDMvyfLtSMydISmFD5dHdalCqWrhYv8IgIRgf6FQLcMefoXBFHaiEBEoKsQiAqlq5CMfCICEYGyrxFEiCICEYGIQMUIRAulYqhixIhARKAcAlGhlEMohkcEIgIVIxAVSsVQxYgRgYhAOQSiQimHUAyPCEQEKkYgKpSKoYoRIwIRgXIIRIVSDqEYHhGICFSMQFQoFUMVI0YEIgLlEIgKpRxCMTwiEBGoGIGoUCqGKkaMCEQEyiEQFUo5hGJ4RCAiUDECUaFUDFWMGBGICJRDICqUcgjF8IhARKBiBKJCqRiqGDEiEBEoh0BUKOUQiuERgYhAxQhEhVIxVDFiRCAiUA6BqFDKIRTDIwIRgYoRiAqlYqhixIhARKAcAlGhlEMohkcEIgIVIxAVSsVQxYgRgYhAOQSiQimHUAyPCEQEKkYgKpSKoYoRIwIRgXIIRIVSDqEYHhGICFSMQFQoFUMVI0YEIgLlEIgKpRxCMTwiEBGoGIGoUCqGKkaMCEQEyiEQFUo5hGJ4RCAiUDECUaFUDFWMGBGICJRDICqUcgjF8IhARKBiBKJCqRiqGDEiEBEoh0BUKOUQiuERgYhAxQhEhVIxVDFiRCAiUA6BqFDKIRTDIwIRgYoRiAqlYqhixIhARKAcAlGhlEMohkcEIgIVIxAVSsVQxYgRgYhAOQSiQimHUAyPCEQEKkYgKpSKoYoRIwIRgXIIRIVSDqEYHhGICFSMQFQoFUMVI0YEIgLlEIgKpRxCMTwiEBGoGIGoUCqGKkaMCEQEyiEQFUo5hGJ4RCAiUDECUaFUDFWMGBGICJRDICqUcgjF8IhARKBiBKJCqRiqGDEiEBEoh0BUKOUQiuERgYhAxQhEhVIxVDFiRCAiUA6BqFDKIRTDIwIRgYoRiAqlYqhixIhARKAcAlGhlEMohkcEIgIVIxAVSsVQxYgRgYhAOQSiQimHUAyPCEQEKkYgKpSKoYoRIwIRgXIIRIVSDqEYHhGICFSMQFQoFUMVI0YEIgLlEIgKpRxCMTwiEBGoGIGoUCqGKkaMCEQEyiEQFUo5hGJ4RCAiUDECtRXH7OcRW1tbXUtLizt+/LhramxyzS3NmqPq6mo3aNAgV19fr7+qqqpez2lLc4tram5SWWtqalxdXZ3Khqzd5UizsanRNTU1KU6WjuFB2rW1tSoLV/wzmYxrbm52J040Ck1zLgwse8pRnvxwpDtkyBCVrafSj+kUInBSKBQq/okTJ9zBgwfd1q1b3UMPPeS2bNmiSEyePNldc801bsqUKW7MmDEdbrjWuFBc3NfV1rma2ppCtIMn4rS2iJJrbdH4tTXSSKurtDGg7JYvX+5WrVql8px55pmuoaFB7wMWXXp7ovGEprlhwwbFCubVVV6B1dbVulNOOcVNmjRJMRo5cqTKkmnNuAMHDrjFixe7PXv2uFGjRrlLL720y+UEUxSdyiSKDSVrynX9+vVu8YuLFTvK8vLLLi+JuzKJf7oNgQGvUKiMKJMXXnjB/cd//If7zW9+444ePaoVkkbN77Of/awqlT/8wz90F154oaPBtNehHJYtW+Z27typPfzpp5/uZs6cWbS3bGxsdJs3b3avvvqqxqcxzJo1yw0ePFjl/drXvua+/e1vq/X0iU98wr397e/o8oYa5hFlS5o/+MEPcgoFK8QsEeKicG+44QZ35+/c6RZesFDlWb16tfubv/kb9/LLLzvycN9996liCXl35p7yQ2k9//zzWlYotlmzZrvhw4fp809+8hP36U9/WssTZXbpjy51NfIvut5BYMArFExyet1/+Id/cA8++KD2bsOGDXOnnXaaVsht27a5/fv3u1/96ldu165d7u/+7u+0lzVTn2JhOGCWhDUyM/sJ1x5Uhij/9V//5Z544glVECin97znPToMMBri4lBiKLmf/exn7rvf/a7eX3311e5jH/2YDiusRz5y5Ig2aOIypDA54FFTLb10TXWqwoKefJsj/bBXN//wCg3p8EPhjhs3zo0ePVrlYUixb98+t2PHDve///u/iue//Mu/qFXHMNJosCL4wQt/8hmmbQqcMBwWUJiHMJwwLDb4YYX85V/+pfK79tpr3Z/+6Z+6IaJ4CUcxHzp0SOXkXtPOlhdpJHEiDZR/a6ZV04cHlhbPhIXx0/KRLEvSiC6PwIBXKI0yX/L0009rQ6ehzJ071338rz/u5sydoyhQWT/2sY+5TZs2uueee8499dRT7pJLLsk1VCoZ8xlUVhoCpjZzGlR4G9LgT6Nbt26dW7FihcZlSEVDowIS3xz8/LzDCR1+rVmzxh07dsw1yJDm6LGjbsjQIVrhLb5dqdzMccDT5jOwZuAfOpVXGiHxoMHVyvCrvt7Pw4Rxi90zF3HZZZe53//933coX+QDmy996UuqdMETS+Rd73pXGxZh/kgfWeHHPJWFUSa4WhkS1lfX5/JAQ2e4ZwoHJUg+UGbghD9W3+HDhxWL+rq2czWkAU6UFw7swckcaVCeKCrCwM8wg7/Op7l6VXSUE7KizMkHYWFHYjzjNY/AgFcoZHXlypW5HvsNb3iDu/yKy7UHpsLOmzdfK+rdd9+tV224UhmpPFRc5lywJBgq7d69240YMcKdf/757s4771QlMGL4CLdkyRJ3zz33aKWnolJBf/3rX6vl81u/9VvaOOGHo5LS0//bv/2bxqGxUvkZLn3yk590N998s7vooos0Ln+QB2XFfMoPf/hDTYvKzdDsrrvuchMmnJIz/4kH74cfflhlRqnRmM844wz3xje+0Z1zzjk6nMOvlKORMbRYuHChxic/8+fPV97f+MY3tJE/9thj7q1vfavmFV7EIW9gtGjRIk0f7Jh3AfPrrrvODR06VBX7//3f/ynW8+bNc+98xzvd2HFjVRyGNv/9tf9WxQxeV111lVu7dq0jLXAijaVLl7pPfepTiv3HP/7xgmyQfxT6L37xC/f4448rDXmmDJiHGjZ0mNu9Z7dakhvEaqUssSJRlj/+8Y91jo34KNLx48e7V155xX3nO9/RKxbbLbfc4l772tdqWFQsBdDnHk4KhRL25M8884xWcCoEvS9XKspNN92koBCXBkcjp3JivdBA6L2ISwOnAv7yl7/UuZcrr7xSTXJ6bIZPVHoccwrMj5x11lnuNa95jfrxh3BM9Pvvv18bi1kSNP6f/OTH2gDPO++8XHzS27hxo3v3u9/ttm/frj0rDRdL6sknn3QMPRYsWKDyokyYz4A3fFGYpMekKRPR73//+91v//Zvaz5QSsUcYfww/+nFGRLQGKdOnar+8KTxW17hwz3KlIb5ve99z1sRgmGrTDqDOWm/7W1v01UYlC/4Tp06TbEfM3aMWgpbt21VxYzypEGTr4dFOT766KOKO1iAKfNUTKJTNuZIH1wZshIf/sjD3BnDUIa8KGrkRqG99NJLOqRjVeg///M/NW6jTExTtsT/wAc+4D7/+c+rIocXDr6U8Xv/5L06T2QWqskQrzKMHeggYFZfcMEFuYlWKvcf//Efu7/927/VivTj//uxWgc0QDNpUR579+51//qv/+oeeeQRaVS1Oq+CiY/iobeih6OR0INOnDhRe1N6dRoxbvbs2dorM9FqfvjTSJmbYALRJmFptLpCcfkV2ojMmiE+ve5Pf/pTNdsvvvhi39NmhyEvvviizmnQ0JgH+ud//mf3ox/9SBsfiowGjGWCIkAZ0aiY3CSvoTIgndDBD6VlQyyGYnv27lHFROPCgqFBo2DNgRkN+uc//7ljQhoLatq0aRqMAqCnZxKaIQvzV6SxY8f2nJJEHiw94qIIwBSrhuEnioAyACfSZTjGylyIK+mjUJcvf0UtK2iwiFASWDXMnyEf+SJt0gDbb37zmxr/3HPPlUnnseqPZYKiJi5pzZkzR/OKMmIOacXKFTpssrzHax6BfI3I+w2oO5ZvqSxvetObtDJQqRiPM9/BvMKoUaO1MTMsuP3227Wh06AJf+CBB7TxXXDBhe4jH/mImtmY9FQ2emIqPysxKJb/9//+nyoXLA0aHJOHH/zgB93YseMKKj6TkGPHjnUf/vCHlQ/xqeAMKRjyoFhoHOZqsvGZlLRhx2c+8xkx6R9TKwDrAwXxijQkZGJoMGPGDJUJRUrD+f73v6/zH1u3bnHf+ta3tAGF8wqWll2hASMsCXpwhn706ChXlAgK8Y477lAFTF5Dx5CBSVP4M9eCFcEKEgr44IGDqkRZKWLuiklnMIaG+ChIFCOKg0aMQmL4wXDl2WefVVzOPvtsLQsUE0vt5lBIWFV/9mfvVyVEHv77v/9bFRnpQ8/SNlgTlyvu9a9/vc4FMb/2hS98QYehKBrk+PM//3OHEkfB/MVf/IUqJBQziquUQjaZTsZrvkQGaO4xS+mhP/ShD6liuffee3UIQyM5cuSoTPjt18bDsIZxN0u0VHjMYioWjka+edNmnU+hok6YMEEbAMoJExkFQI+KIrIGxvh86pSpuYlbg5dw4mHlsDxtwwsaLnzZy0EDMFdfP8jdeOON7vrrr9eGzDCA+RnkpcekUWI1PP7E49oIoKPB00BoRPSy9OTIgzJEXhoL6ZislpZd4Qd/5nWIA48jRw6L4mrUochb3vIWd7WsSoX5JQ2GkO985zvVooDu1GmnqhXI8A+e7HVBWWA9sLpFGZAXLEbCUa7IPVaGQLfddpvGRfmCC/xIA8XDvAx4h42acDB929vernNK8Hvf+97n7r33h4KnU0uI8kJmc9xjdaKwUMrIZat0KDMsJMqQ4RcKjOEWaZaz8Iz/yXgd8AqFCkCDoJFhgdx6y63u+InjagYz/MEUZq6Eirx69Sqt4Fg0NCjocCghTHkqLT0bPxQLSgCFEFbsrq5E8KdCc8UhA8qBxmVpIw+9psmG1fLRj35U4yKbyTt8+HDfsKXxlHI0en5YI6SBYm1qatZ03/72t6tyRiGFDrmgoaFzj0OZ08irZWnWHDxpwFgazEcwDMLSw7LatGmTpjdu3HgdahhNJVfkJH8Mcc0x5DFnOCTLCplxyIyyMpy52pDOwoiXpMcvujwCA16h0PCptPRYVBKsDRoDvQ+rCPSODDUYS9OD0auHk6tAxZjfJiR5poFilVDhWKkIez3Czeleh0z6XhGLY9dSFdUaqMVNu1ocrjRi5LLGYYoGOqwiGo7FT+NFvsDnT/7kT1Sp/tVf/ZUOeZiPwLrBwRu+ocMvyZfnquyOW+LCm97fJlxR5EwiY4VgARCONYa1k3SkB05pWFm6doXW3+eVWZIfz4YR9yEtz+bw5xfGtbB4LURgwCsUej5m/ukF6dWZC8ECMSWAlcFSLXMhOCoO8Rg7M5nHkIJe+a7fvcvVi4nMqgVDEio/7wSx5EnPmHTFKn4ynj0TP9lALaySK5OV9LZUekx3JmCxZHDkgd4fubHUUDilHDyIQ6Mnb+QfpYsyYUjA6tLNN98i6bW/+oAvCg0LhUlshmEs87IShpyUB8MQrsQNHRihyNMUShgv3vceAu2vEb0na4dSrpGJO6wUJggx3Rn/sgRLhcbxzgyrOTRmTGSWbLFG2DvBBCbzFPSgLA/jDz0rKfhRsbFymLyj8rPcTKPGGkLhMLELzdAhQ1PnUuiNGQ4gH/MHLA8zicyu3PY40r7iiivcV7/6VR26kScaPkoRR96xwMgLe0tQsKUcCoUf8qF4GSqyxZ2JYCYl2Z7P6gvzGx1p3PAG5xkyeYxCYQLYlAd+DdMbNG1kZAOhKUqGoKyqsayMskQ5Rte3EBjwCoVelB6WRkUjZy8Bqwk2vkZB7Nu3VxpQjU72XX3V1XqlZ2YTE5YLS63s38CyYaVg5coV0pse1d6b1R0sGhy7cNnvQUNE4TABynCBjVXJPQvEoUEy6YoyYyXhHe94h65qEB9HI7OfemT/mJ9d8bbNa1/5ylfcBllRYVUCPxyWFsM55GTSlAad5kJ+3OO4Mgn63ve+V3HAiiCPbBZkadjisBqFC3kbD/zsXiPJH4aeLG0z38MrDwcPHhCrZKgqrzpZfbP4bI0HJ2RHeaFMeK2BSVIwJp7xD9O2dAiHNowX3ufj5eeojB/xzHEf/sw/XgsRSK9ZhXH69RO9G3s+2HfCDlcmOGnANDB+9Hrjx0/QJVmGQ7fdfpsqBBQKy8G33nqrVuijR49or48ywephXoUVIfYpkAYKgvkY5i5ogPTszA9goocV08CEBt5YDAxX/J4JvxmLMOYQGHYw52Eb8IyWZ+aBCKenhj/0H/nwR9zv/M7v6FACa4yJ5eef95vySIPlXJbPsYKSMiE/eYYfacKPLfs4w5DVJuY6iMuSLMqYMOKzhwPacBcu8QhDVq4MdcwxpMHy4Up5HD9+QuNg+cDTHHJOnDhJl6lPPfVUjQOmYGv5pkzBAvktX1wpA2QynHhGBuJNmDBew/BDgaAQkQU5+REH+VFoYXnAj3hpystkPpmvA95CoeCpBK973etUadC7soEK859KR+Vh1eFa2TfCPg8qD/5csTg+97nP6a5YrA3eKaFCYpazrMmwySokvScrHF//+te152RiFz7wTqt8VNaGhgbdbctKE8Md4rF3hMbMEMuGUKRDfHPs22DTGkoDGZEBeWm47JRlGIYlxsoPvTMNkUlWFCuvCiStJfjSSEjTJkN9w/ZpIhc4oTBny4Y9lDDPDNVQnuzlQG7SD4chpI3SREawYDIWx0uOKBGGg2Y9cGXOZvr06eqnEeUPdLwIyDCNFzix5FBkKEhoUMjMuRBPacXSxBEGjlinWFVYRCgecESpMsQkHHn1vSyJj8XE6wTgyj4YLCb4Ug7spoY/WGMdwT+6tghUSUPwe8Xbhg0oH7LJi2H21jAVGj8qBpUmfMvUMk44P3pE4vOjcZWLb8vN8NFeTvhDk+bgaRONxLG3bNnujqzmF76Vm3zr2BREmrxKbzJLXtOUG3JBa/jwnJTbwsO3cum94U9+CecePC0N/CzMeNoZKpu3bNYleo4eQFGj9JmLYr8QDRhe5uDDz3DCn3BkDGXGD8VqLomtKYEQW5M3mUZYHwizdCyPXPlFV4hAvtsr9B9wT1oRZI8C/yp1VmmsgZSjs/ih2V+OBt6p/GUwWkxWFEhamKWfyq+MIOXwKRUeNuIwGWiSYccbj7tfPfgr9+///u9qJTCBjTJhkpYhVVKZwK9UvophAV17sC2VRqm8k050eQROGoWSz3K8600EmmW4w3CQyVWW9LEymI9i8prhIY03uv6LwEkz5Om/RTSwJMciYfMgO49RJszJML/DxCnWTEesq4GFUP/OTVQo/bv8+p30zEcwr8L8BvfMYdg8Rr/LTBS4DQJRobSBJHr0BAIoE1wc4vQE2j2XRpxD6TmsY0oBAlGRBGAMoNsBv7FtAJVVzEpEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gEBVK/ymrKGlEoM8jEBVKny+iKGBEoP8gUNt/RB3YkmYyGdfc3OxaW1tdVVWVq6mucTW1NUUzTfzWllbX0triuK+tqXXVNdVKm0ZEHEuDK2nU1gpNdfE+BVlaWlpyMhEfOn5pDr7I1NzSnItnNGnx8QvTQJaampocbTGa6N93EYgKpQ+UjTXEEycaXeOJE6pI6uvr3eCawSUb74nGE66pqUl/Q4cOdYPqBxVVKqZMjh07po2Yxjt48GA3aNCgogig4E6IPFxRIkOGDHF1dXUlZWpsanTHjh5TOWpr61x1lSiJIooRmZCfNBobG1UW5CGN6PonAsW7p/6Zn34p9fHjx92Li190f/RHf+jOX3i+u/zyy90Xv/hFt3v3bm1syUzRAAn73Oc+5y699DXuoosuch/4wAfcmrVrtGEm4/O8f99+d88997hbb73VnX322e6Nb3yje/DBB93BgwddS3NLAQlWAzK98MIL7j3veY8799xzVaZ/+qd/ctu3b1dLp4BAHlAMW7dudZ///Ofd5Vdc7hYuXOj+7M/e7zZu2uiOHj2ajK5pHj582N13333u5ptvduedd55785vf7B566CF35MjR1DTaMIkefQ8B6SWi60UEpPFmdu3alZFGlRk5cmRGLIGM9NCZSZMmZT772c9m9u3b10Y6/D7xiU9kxowZo3GhGTVqVEaURGbP7j0ZeIaOZ1Emmblz52aGDBmcEetE6S688MLME088kRHlEUbPiLWQWbNmTeZNb3qTxpdhS0YspszkyZMzf//3f58RK6dNGkeOHMl88pOfzIwbN075Q4NM8Ni4cWMBfx5EyWR++tOfZhoaGpQ3eRArKzN//vzMqlWrVIY2RNGjzyMQLZRe1vHMOdCzL1q0SHtyqTE6xKBX/81vfuNE2bSREL/7779frRGGI9BIg3aPPfaYW79hvdIbEWFYNE8//bTbsmWL3Dfm5lLWr1/vnnzySbEumi26Xpk3kUbtnn32WY3PMxYIVtEzzzzjduzYoXMlRmTp/8///I87dOhQbl7ErJznnnvOouauWCc//OEP3YEDB5Q3PIgPFj/5yU/ULxc53vQbBKJC6eWiqqqu0sbDMMMcjQvHNfS3cBo4P4tj/sRnLoJ5i9Dhj0II+dq9xhcZko50SYN4Fpcr8S3tkIb4KC7mWnBGwz3zNmkOXkkHHUrG+CTD43PfRqCw5vVtWQekdDSc0047zU2cONExEcszE6ZMTM6cOdPJEKJNvokrQ4PcKg000Mowyc2aNUsnRI2IMCZfZbjjRo8erTSWxogRI9wFF1zQZqWH9KdPn67ps+rCM6s1w4YNc/PmzdN0WFEyBz94XXnllZqW8ScPMkxyl1xyiUXNXeHFXBETvbayQxoyJHMyTNL0cpHjTb9BoOZucf1G2gEoKI2PBkUDZghCIzzllFPcxRdf7D7+8Y/rPeGho4Ez6bl8+XJVQDJX4U4//XTHpOns2bNzDdRoSOPUU0/V4cj+/fudzNW4adOm6YTrrbfc6lghgqc5UxAyR+M2b96sqy8oNhTG+973PlUSYXyjY/KWPGANjR071s2YMcPJvIo744wzUlduUHJ79+51yDR8+HA3depU98d//CfuhhtuFMU0KFopBmw/ulaJient634k9EATleEC5j+NcenSpdrgZcLUjRk9JnUZmCJj7mRbu67IAABAAElEQVTPnj26EsP8yfnnn69KwqycJEas5Bw9dlTjb9u2Ta0iGjrKBQWSdKTBUEUmZ92KFSu0wWPNYOWQRtIR3+ZZmA9CvnPOOUcVGUoyLQ3yzVzKkiVLnEzcqhWFYhw2dFjRpeZkuvG5byEQFUofKQ8apG1Uo/ExD1JuoxrxWzOtOl/BRrhy8UnD5kVIw4YzxSCgwWdahUY2z1l8rvzSXHvzAA/SSMpUKo20dKNf30EgKpS+UxZRkohAv0cgP3Du91mJGYgIRAR6G4GoUHq7BGL6EYEBhEBUKAOoMGNWIgK9jUBUKL1dAjH9iMAAQiAqlAFUmDErEYHeRiAqlN4ugZh+RGAAIRAVygAqzJiViEBvIxAVSm+XQEw/IjCAEIgKZQAVZsxKRKC3EYgKpbdLIKYfERhACESFMoAKM2YlItDbCESF0tslENOPCAwgBOKp932gMO34Ak4848cnMerq69zQIXJOSYlPYxQTnbd++R2V0+c5RZ/PWnDkACfK80s7y6QYL/NHRo4nMBl5IxieHDXQERnhC09kbJKT8uENP34cCNURGU3WeO09BKJC6T3scylzdgjnvX75y192Dz/8sONgozvvvNO95S1vyZ2AlotcwQ3KhAb6wAO/dF/72tf0DFjOV/mDP/gDPXGt1KczirFHRk68/8Y3vuF+/vOfq2Li5Py77rpLFV+xT2UU44eM8Fwk581+8d++6DZs2ODOPPNM96d/+qd6IBNKJbp+iIAUbHS9iID00hk5sSwjCkRPjJejEfW0eDkWMiMKJiPnq7ZbOk6g/9GPfpSRw4qUFzw5IV8+oZHZtGlTRs4faRdPZOQ0/Q9+8IOZCRMmZOR0NT2hX06By3z6059W+dvFUCJz6v3jjz/eRkY5iS4jB0DFU+/bC2gfiR/nUHq5E5B6oD0/38jhcGZOX+PKsYic/s6pbO11nIL2s5/9zO3cubOAp3wyQ0/XxzJor9u5a6f7wQ9+oHLBn+/5yOc89Ds6r776anvZ6cfAvvWtbxXISJ5Xr17t5PMaqQdhtzuRSNDjCESF0uOQt02QhsQQJTxNnvkFPivBr72OeQ4aPDzMobhQJHyCg/v2Oj7rgbILabnnsxn82uuY1+E82aSMYLB27doC//byjvF7D4GoUHoP+1zKHCDNwdScHG+Tp8whcHA1hz2318GHA6A5fJpT5HXyVE6ZHz9+vH41sCMTnjLU0YOwOa3eZOTEek7mR/72OvLHObjwQ0bOneWew6pvvulmPZ6yvTxj/N5HICqUXi4DGjcHP3/oQx/ST2bQSFEEnF7//ve/Xydo2ysiDfPd7363fkJ0iKwUwZOJXpuUpfG2x7Giw6n3yMNp+SYjn//4oz/6I1WG7eFHXFaHfvd3f1c/pTFU7skzivDtb3+7fo4VpRVd/0MgninbB8qME+kPHzmsp8vzlT0+i3HddddpI6bxt9eisOENQ4pHHnlE52j4xMWZZ5zpRowckfpJi3Iw2Kn5nILP1wOR69prr9VPatD4Oyoj80V8vZAT/zmFn5PyUbDtVXrl5I/hPYNAVCg9g3NFqdBomVugcZY7kb4ShsxPMCfBlb0t7V3aTUsDGcNT8NurSJI8UX6c3k++kbGje1qSfONz7yAQFUrv4J6aajjhWexTFamEJTy7mmdX80P07uBZApIY1I0IRIXSjeBG1hGBkw2BOCl7spV4zG9EoBsRiAqlG8GNrCMCJxsCUaGcbCUe8xsR6EYEokLpRnAj64jAyYZAVCgnW4nH/EYEuhGBqFC6EdzIOiJwsiEQFcrJVuIxvxGBbkQgKpRuBDeyjgicbAhEhXKylXjMb0SgGxGICqUbwY2sIwInGwLxTNk+VOK802LvtfAuT1e9z1Mui5amXXs67TBdZO2pfJfDJYa3H4GoUNqPWZdT0KD4NTY26q+6ukZe36/Vg4y6u3GRLie58SN9jg2orZVT9+XaE2lzUh1p5069r5OjEDpw0n+XF0pk2CEEokLpEGxdS0RjkoOZ3X333ecWL16sJ5fdeOON7sorr3JD5GSzrjh2IE1ilAlpcyYs58VynuukSZPc7bff7s477zxVaJ09niAtXfw4UoG0ly1b5u69917NP6e/cZL+rFmzekSZFpMt+ncCAalU0fUyApxs/973vjczZcqUjHziQk+Unz9/Qeaee+7JcIJ9dzlOv9+xY0dGlFdGjofMiFWSkcONMnLIUebFF1/MyNm03ZW08l6yZEnmoosu0hP55ZAmleH666/XE/aRLbr+h0CclO2EMu4KUnpqTlaTz17oCfcMOzhVftu2re473/lOh069r1Qu0uIbOy+88IKejo/FQNobN250X/3qVzt0QHalaXPoNd8MWrdunR5yTdqc3vb888+7B3/9oA6/KuUV4/UdBKJC6eWyyLRm1NyngdGopE/S4QDzCpxcz6+7XLOcvsbRi6RLejiunPIm3+8pOIW/q2XgZH7SsLTJN2mj5DhiEtmi638IRIXSy2XGBCTzFiNHjtTJUMRhMpRJ0YkTJ+r5st0lIhO/CxYs0LQ4chLHnAk/+UhYTp7uSJ9T7+fPn18wV4IMfNXwsssuE//2HaTdHTJGnu1HoOZuce0nixRdhQDKg1UVLBQOgKYxcwJ8Q0ODky/1aaNDuXSHk4Vpx+cx+Azq5s2btXFzYj4HWn/kIx/R0+yRrTsc+ZY5I/fyyy/rB8NQJJx6f8stt7j3vOc9+jmN7l5l6o58new84xGQfaAGMI/Cx7KeffZZ9+ijj+q3eG677Tb9Lk93L99y6PTefXsdXxVkqMHnO2644QY9zb67FJlBTto7du6QbzA/4FauXKnf6bniiityp/1bvHjtPwhEhdIHykrnTeTk98Ym24dSrcMQeu3u7qVJ2+YxmL+ora2TtHtuDwxpNjUxb9Osee6pPTB9oNgHpAhRoQzIYo2Zigj0DgJxUrZ3cI+pRgQGJAJRoQzIYo2Zigj0DgJRofQO7jHViMCARCAqlAFZrDFTEYHeQSAqlN7BPaYaERiQCESFMiCLNWYqItA7CESF0ju4x1QjAgMSgahQBmSxxkxFBHoHgahQegf3mGpEYEAiEBXKgCzWmKmIQO8gEBVK7+AeU40IDEgEokIZkMUaMxUR6B0EokLpHdxjqhGBAYlAVCgDslhjpiICvYNAVCi9g3tMNSIwIBGICmVAFmvMVESgdxCICqV3cI+pRgQGJAJRoQzIYo2Zigj0DgJRofQO7jHViMCARCAqlAFZrDFTEYHeQSAqlN7BPaYaERiQCESFMiCLNWYqItA7CESF0ju4x1QjAgMSgahQBmSxxkxFBHoHgahQegf3mGpEYEAiEBXKgCzWmKmIQO8gEBVK7+AeU40IDEgEokIZkMUaMxUR6B0EokLpHdxjqhGBAYlAVCgDslhjpiICvYNAVCi9g3tMNSIwIBGICmVAFmvMVESgdxCICqV3cI+pRgQGJAJRoQzIYo2Zigj0DgJRofQO7jHViMCARCAqlAFZrDFTEYHeQSAqlN7BPaYaERiQCESFMiCLNWYqItA7CESF0ju4x1QjAgMSgahQBmSxxkxFBHoHgahQegf3mGpEYEAiEBXKgCzWmKmIQO8gEBVK7+AeU40IDEgEokIZkMUaMxUR6B0EekWhtLa2ukwmU5DjNL+CCB18IJ2mpiYH/55wpHPixIlOpQePxsbGNhj1hPxhGsgBdi3NLblrstyIjx9xiJ8WHvJM3hvt8eMnlEcynGeLQxp93SEjZQcWJ6PrcYUC0Js2bXbHjx/P4Y3fli1bCvyoRAmdk4tfyY2nz7hjx4651avXuJYWXxnNP8mjlH9a3KSfPaNM1qxZ444ePWZeeoV/0vk0C32JRoVctuxlxcPo7FoYu/ST59823WJUyTSOHDmiZXWi8YRbv36D27J1a05hhLxbW1rdqxs3uT179uTCS6Vh6XBtbm52GzdtcitXrnIHDx3KkVEnqCMoNOLt3rPbbZY6YrS5iNkb/IuFESUM5x6MfcP3dNxTdiGPkCZML4yDP8oQevz37tvnNmx4VeUmrBSPJB/i93fX4wqFCvT008+4AwcO5gqvWbT6c8897/ZJYeCoTFTSTMb3eFYopa5hQRAPen40iuXLX5GKm1conne+ApJeS6v0svKzQlYeWTlas/7mZ1foQoe//BdXpXw0H/CQnw/zjTtHH+Qxz8fHqaryRRPGTU8vrzAsDbsaBvYcXknPnnNyqjx5foekga9du06VI/JUVUm+BAuNL3ENr+aWZrdu3Tq3a9ceVdzGl2vowDHEmeCjR49K2S9ydXW1rqYmXx1p3K+8ssLt2LFDy2779h3u1VdfzeFqvLmaPOYXpsm9xhF5rdypgzR6lGRTk1gTEvbqq5tyisB4Gh1X8yOt5P3LL7/sdu/erXx82lV6IZ7l1+iMl/JApiw/T9f//9b2dBYA8vDhw753EEBxLVIhDx8+Ij0EvUaTFM4ut3XrdjdkyGB36qmnSgG2uoMHD7lTTjlFe5H9+/e7MWNGu/r6eqlwO93YsWPdsGFDlReV4/CRw1pBqqur3ahRI7WSNzc3SeXNuI0bN2r6EydOdBMnnuJqqmvcLklv8+YtwmOYpHeaGzp0sKazbt16lfPUU6e5ESNGyv0Jt337Tq0EQ4cOUWV12mmnukH1gzTttevWiowTXW1trcZZu3a9Gz9+rFbUIUOGOOIOHjxYe7RN0itjPU2ZMsXt3LnLnX76HGlUdcqHP/X1dQ75aVhYdCjgU06ZIPEnK3/iEEb+yUddbZ1rlMaxbdt2N3nyJMHroGJYXV0l6ZKnIW7v3r2SRr0bPWaMDC+aRAHsVnywLIgHxtOmTXWjR4+GveYBy45KP2hQvaa7c9cuLS/ikv7kyZMVN+LwQ3HDj/tJkyZ5JSRlTrns3bdX8N+s+QTTwYMHuRUrVktHsl/LHRocdQQeq1atFpn3CRaDtAzN2uQ6a9ZMTRflQJ7Jy4gRw11Dw3TlD3a4Zkl33949YgFvVVlmzZotuB8VRblWeWJJgg9WJVbGsGHDBc8JKhNWMzLOmDFDaffs2Sv5a9IweM+cOUOtKJQudZL6O3z4cEnflz/PKEE6NcqOOoe8KEkceRs9epSbOnWq4OvrkAb04z81d4vrSfmpoIsXL9WKSyVtamp2jVIxV6xcKX7TpGLsdC+8sFgKZqhWFAp1xIgR4veiNPZp0ki2uqeeetqNESVSJw33qaeekoKdqcqFikiP9/jjT7p9UsAUHpWSikpjfuaZZ6Vh7pfCG+wWL1mqjZu8/+xnvxClNEYLGvpx48a5++673x0SJUevvHTpS1oZjh494h544EHlS6PcKGY+DXfc+HFq6j777CKNt2zZMqlA49USQymhRJADh/J75plnpEdfLwpzqFpPS19a5s4556ycomhqanIPP/yoNpply17RuDRyaJSHpC1GkCokhkbwR/muWLHS7RDlhHJ4+ulntWHReF5++RVNl4pPJUfJMZx46aWXtFG++OJilQ8FPWHCKap8SIe8oexQDNCiUFFKzz33guJ9VBo2QxWwQwGgkOkclixZog1o1KhRih/KZJtYGI8++pg20P3790lD2+hGjhwl/PYo7tOmeUVGPnD79h0QCwKMBguvU1QWLAqU7u7de9SiPfPMM3Q4i/wok42ieGmsU6dOyWEJ/yeeeFKfKVtwIS0UDDgj86hRI1QenlHGWFKUM/Vzy5ZtqtBPmTDBLVu+XPNL50DZb5JOCCVBx4FCoIxQHtTRsWPGuqeeflrrcE1NjWDykioP6uivf/2QDO8Ou3pR7ljmyDBB+A8E1+MWigctI0plifb60l61p6CinzhxXAvj3HPPEeUx1R09ctQtXro0Z9FQIfhRqRolLiZ5VVWNFMhQrbgU1iEpKHqaG2+8Xv1oZKtWrdYejAYyf/58bTA0qJ07d2pFGD58mFg8Y7S3HTp0qCidA9pArrnmam04NCIqybhxY6UyTnHXXHOVVtBx0pB+85uH3SxRaKtWrXJnnLFA4tepAmtp8eb+lVdeIQ1nhMpImsiGuX3jjTdIwx6nltHWbdsEFm8mg48fYvkev7W1WRrsaLXIpkyZJLJLXkVhoOhQJMhED02DotFfdNEF8rxDLZmzzz5buGXcc4ueFz/mP8Khlw3vMsprzpy57vzzz8k1ROQwB67w8VcnCmaiO++8c7XcFi1apOWD0qYxvyoW4Nw5s7WhISOuSXp18Jk373Q3d+5cbcgoHRTLzJkNYh2slXI5XbFWAsECJUWvjvXAPfKj2C655GJ3WMr4+/f8QK6HVLlMEIUzXhrkyJEjdZh0RDoC6/FprOedd56ypTNbuXK11h94IfNZZ52hecZSRKFg+dKBjBTLdsqUqW6qdHIPP/SwWL0L1MqaO3eO5mPWrEPaYWBh8Jsxo8FNn36qDqNaRIEeOHhA6sw294Y3vF7rxIQJ44XvMrdw4XmqQM6WdFFG1WIhE2/Bgvk+6/38by8plCp39tlnKaDgR0HSE2JRUMiDB9erCV8vWn+wWBMU0Pjx49VcRunMnj1Lerb9Ogwwsxo+jO8xwzE5aWyY3xTaqlVrtDenQdOTHjxYp2kxVKBnwHphyEOjwYRHYTFnwHACc5uKiglNu6qp8bxpLDRueqtt27drozrzjDMQQx2NF8dQgyEQvT/p04NrHiVv+GMi12TNcyWQP0aLDKedNl0sk7Vug5jOtdLTNTQ0uOFillfXVqucKEIUCZUSmXim96VBgQMyD5Z7Jg4FHuWNwkIGFAThVZI+FiEyFnPE865a843ibGqq0gZB+eBQKN5aGqKy+Ph+6ES5gGNtbY1aUOQd5YoiZe6EXtyGKZINpeeZMK5gAW9krJV84X9c6gKY8tuhZVal5dmaF1bzvWEDlk298PD5B1/kaG1FfuEvZapXUdSQMrQBGzocypv6wXO1pAmuWBZYx9UiM5h7+VDyPPs0jkhnSJ4YMhEH64VhPVjVSR4GDx6idZz6gdU8UFx+FqwHc4RJTmNkfoMfPTgVhIaMxtbxuVQ25lowIYcNG6JzKevXr1PFwJiT2XTGpw0NpxVITgFi7WCNMB+zbt06Cc9or0Djnz79NO0NZ82aqUMp0qB3oqcaNWq0mrJmZaC45s2bq1bJ+PETtGJYYlQSKjnDNCZ9mWMZLPyxHgqdf5bo6qh8tTLfsUMqKw2KPCAnjTzpfKNvdXPmzHbz582TxjTYrZGxPz0+DhnAj8qOFUaeqPD8bJ6KSUcsOfCul4aIBYcCx++YNMSOOMtLSIsspM8cxrJly90hmWNBLhxlihVJp0HaWJmkjYKALs15/yrFBRwowzAq4dQXGiSdApbD3Lmz1aqx+TTSxwpijmamWEIzZjQIHxxlV6WdT3Nzq6tSOVGy3lpjngrFNWfOLJ3bolOi7rR1XgGRDp1hJtMiPx+LjgI/bzE3iYW1XS0t31nl8yzVYUC5HrdQKEjfY2MF+IKlkVGAVAQaMWNielwaBZUFq4FGxwQaCoE5FYYpB2VowjjdHD0tDZthwG9+85BU2KHSyAdpT4GZvmvXLuU9SkzUA/sPOIZWyPDYY0+IOX2KVL4DqlxQHsjx+ONPaM9yQhr+ZZdeIj3iCVV8VEgclsWYMaNEyR1XObAImprIS53mh3xaHunpeKZxMSx5/vkXZQ5jmZrYNepvuXAaz8etkt5ytyidTWKCy3yDWFeYxvR85miU/LCwTpMJbCaZp02bKnNLm2Tu4CmZlGwRvyrFjYbMEA0ljWuWxk0Fr5dfyNN440c4vbm3FHimzFAS3nogr+QbeZkTmTp1spbbuvXr3TnSUUBPbz5//jyd22IiEoU4TBQB5ZoRZVEjCrZalHPo4IkSZKWHYQt8TEbS4kedYb5k0aIXNE+UzySxOgnDgT2WAI2aOQwmc6GBN/Xq6aefEb8n3bXXXKNKeOWq1Vp35syZox0L8xsoBbBvaGhQy4R802nUCCa10gmSBkOyF19cosoSxUMaKPoFCxa4h2S4hHJBgV9++WWaD8MbPshq+Qrz31/vRTmbTu2ZLNDb0FMx7qQh4PCjsWMS07sCPsMNCodxNAXE5C0z6UOHDpM4dWrKYuqOFROfwjVHdtQEFnosAUzNo0cP65XC37Fjl1b48ePHaaFTmFgzpEcFJj0qLz0pMh07dkKGTRNUFirX0aOSpsxpwIu0sDKosMiNQmScjpy+Eh32CkPSgI75EPKM4sLsxsKhcf/qV79273jH2yQNjwdp0/CoqGDjh2mHdM5lzOgxanqTPo5GsmzZyyrHwoXnqxxMgjJhivxYgwwLWQWiAmPOk/7o0SM1DzRWTHGwHj58mMGoV4ZJKHXmZ1CaKBWb36GsGGIePHRQGwXDSyYxWfHC+jh+/JjgO0bCfKMDqyNHjrntO7br0I3hJliAH/KAu+WJxMk3nQjDAasn1FTqDfiAyQRR/K2CIytgzHNRN7AmLE34NDW1iIWyR/OBEqFuMenOEAgeR2RFkHkawxwcKEdwZfKXjoDOBtkoK8qZOMRnLme0zLlQN0kffAijnlD+OHgcEUVOuY0WJdMi+Too8yvgRz3zlmSzyCQT7QPA9bhCATMqCw5tj6Oy8cNRcLq/QSqr1H9tBMSzOFbpfHRvopqfMpA/8Kdh0+uFQxDi0diEdZY3lV3iF/h5q0nTk4hUWJQOtPhxDdMzuUx2rviZC+PiR1qLnpceVVaMRkilwxyn8l180YU5xWg8LU3d+5GVmXG88SSfmzdv1onG00+f66bK0I1wnPIgo+LAIEeTyKtGIE4iX/ibHNwbveWt2LPRWbhd8Udey0tNjZ97SNYF4uHCtL1PXkYLM95gas7n31tR+BE3DMfP8DB/aJSn4JUMC+MThzT5IXd4T76SdQ1a0qAYqMth2YS0xLO2wH1/dr2iUPozYJ2VnYrI0G27TGCekJ6cHo2lSnphKll7HLywZLAkJkwYp71ne+hj3IhAVyMQFUpXI1oBP+thLar1Vvbcnqvx6gyP9qQX40YESiEwIBQKjQrX3h6+FDBhWHfzD9Pq6H1/kLFc3iwPafG6q2zT0uqon8mflLWYf0fT6ct0hVPrfVnSIrLp5JhMHFqhFYnWKW8mDtn30p1pdEZA5AIHJqN52zWU08LsTV2ew/DOpNvVtOxVYf8GS7lsHQB3W/7uqzKbXFyRn8nc0OGPHxPSFjcMH2j3/V6hsKt16dKXdB6huwqHVYglS5e0mdzrrvTaw5dVDPY4sGzJ6wkvLl4sqx4HcixYcdiwYaO+qcucC/teUDx90W3c6N86pmGuWLFSJ6xfeullXa3qi40RJc3qICtHTL7yAiPL3Mk9RUycb5Pd0DYJ3Bex7yqZenQfCpVC/sust1/BYWabSs6KDI5wnvFnP0WxWXP8bVZcl/tkpYQdtCyRsiLD6g4z6jQmeGOCKk8JM4cf6SXTht5Wdcx0ZeJ09qyZsvokL8rJnjI2MEFHPPYREM/iwjNMt1aWHZHF0lMMsisCyESlZCUJ5/OfEb4ifzYPVEK/kU02ckla8MIPWYjPci6b95jUHTNmgrwTtUrTOv/88/QKnjt37pAJ28Gy/DlR3x258srLdQLX5NZ0s+ngh1zkC3+fF1a6vJ/KKfIrFtmysn0fYEJ60MEDXvjl+AkdeSUOYZSxYQNf9smwZR182W/E8i1LrMeOTVA5VCaWTLKOt5wlqZxs8MSRPj/SRv5ceZKeRCmIl5WJ+CgCwx4+yGp8SNv4aJjgxbEOa9aslUn1ifqCH+9N0fmgEBGF+PxYrmZpGXmNJ2mBC3tiSINl91YpU2QzbMLtEKTZH1yPKxQ2aa1fv95ddtmlug7/vCyhsv+Dl+bYaETvOlrW7C+//FKp1HVaYGxe4uUsdscuX/6Ku/TSi3VvCgDzzswRGfI8+ujjUpj73VjZY3D1VVdog3j22ed0gxLxzjnnHKmgsk1eevMLL7xA0166dJk0rHrdzMQLhewn4Z0L+NuLbdCirLAArrh8uHtZ0qfis828VvYR3HzjDboXwSopvf9Tko8tstEMv4tkOXjGjAZNj4qzevVakWGrpHGJ5uHJp56Shj5Z5QAL9sSw4QsZqMRLlixTDJqbG2U375nuXMkH/Elnu2z5P/PMM2U37zxtfKTHBjfkM2cNhTyw0Y13knjx7ZJLLpGdrTM0Go0OpUQeuZ8xo0HlZgXp2ecWuf2CO/tVLr/8Nbp5jd4WbFHm7HFh/wv3Tz75lPIjD2zAgx68wfSSiy9yvErBe0WbN22WMh8i79ic46bLqwXWcAQeXVZGZl46PP30OdLY/HIzjZSyJ4xNh1gwWAPsUeIlQXbKco9D4fIGOXWCYRN1i3doeCkVDJEHpUb4hRculDp3SBTtczK8OqKbAi+++ELZP7JbcF+XtfaqdI8Or4tAi6K677779W3jFxcvkV3KQ2ST5LlShry4uNv98pcPiHW1T3c4Xyz55lUIFAh5eP7556Uu1Gs8lOZrXnOpyOhfqKRdsDdl+vQGzccll1yo1/70p0eHPFR4drFiAtJ4GR+jBNh6zxvEbGN/05veqA3qoYce0UpK42D7OJqdgmRzEYUTOpZhefHsDW+4wzVJBVq+fIVsWtonSmG0u+WWm9wFFyyUN0Zlt6lsJmIHLsusmKmHDx/SHuQXv3hAX0a87bbXas9NZSYtc/QexG+SxoaJy4azO+54nWuYPt09LW8wswHLHA1rmGywuvnmm9zFF1/sHnnk0dwQg/yfdto0bfS8wEb+90mPxq5KXrKjgr32tbfqmPvll5dr+BDZ6Xv99VfL71pp9OvlDehDqjDA4fbbX6s7UMfI5j3cihWrdIPVrFmzVJmZTNJMRTnV64t17DK+6qor3cwZDbk4KBFeWKRh3igKkp3B7I/hlX5433TTjfqmNztHeRt8sTSi889fKDJdpzhtkHdlwICNdDS6K664TJXgtGlT3e233arKbpOUObSb5OXBm2++UZXQoUNHtNfOy4l1gQLxb40jFw2f8keBsBGNXawcIQE+yHWBdA68TQ0vc2yse+yxJ1QW8kMjRdHOnDlT3zZGGfO2Mx0CVsITTz6pjf82kRVlSFrUETaroSwpS5b2wYPXOlatWqMdzowZDfoiJEqDVzSQnY1wdBa33HKzYsArCFiRKHTywVwcSg3Zt4qyxaIBFxTRtdde424QTHk36+ixfH4sX/3h2uMKZZhYI5jeVMKdu3ardYJZSG9GAbFbc8aM6VJ5OHsCk9abolz5sdOQqzmpD9rA2SFJQ+ZdEioFr6SPHDlcFAhnZcgZHkInxq5u28dK2iU7GKm4NGaUFrtWt2/flqt8YRrsaqVi80M+TFjeGaJXRNEgJw4aekl6RF4so9GfkIbWlFU4KBSsDnZq8obxJumpJ4xn12adNmB6KiyfEaJg7QU/dobu3r1Xevodwt+fgUI6M2bMVOywsOjhsQRWrFjhrr76SjdR3r5NOjaSkTZYcw2HGsQdPnyEzgFgwcya6S0XcOT8DywS6OjtkYv8Hj7M7mJkovEfU7+hQ4frS5xj5NV9lPd4ydsQKW/uUbTkE0tn3br1qjT1bBdpgEkHT/tRbqtXrxFLzVsXWDZr167Rnc+U6yGREYWJBWcO6wClgVLQuQvhQaNmxzN5wiIBrymiJCh33lpmSEJ+qA/UTToU6qk/zsEPF+kEoceaQylgQfNagr16QPmyA5kOZ/jw4fpjlywvhMKPH8M4+Oob6IINdc/vrB6mu4CHy65k6j8b5cCgv7keVSiAw/zHXHmFnR5jpxbgaG0YzH/QcH1Fsl2IUKBQ/NicStnWyZhfKiX0OHocCnDNmrXaYKHl/RneGcHNnz9P36GhErHVnQN1qAj8GD9jQdFTM75Pc/CncXGlMoWFzj0W0HI5N4PGRzjyh465kdmzZ6vFxOY2Xr0nnk/fzwExvDvjjAU6pKE3pGdL8kLW0NHQFi5cKA3Cb80Pw9reF8qEgiE9LApWWZ6TYQ4KHoUr+z81v8wjMbziSp7IPwqCFyt5Gxd5ams9jgKlhOfvUeQ4hpEMdVHKvKGNkmAeopxDSdtb1FiLwl3K2M+1EeaPpMi/NkD6tEUwQ0aGkFh/xJ09W46aWL1KFaC9lAr2yEu50jGRT+/n31finnwPEYyZ1ObdKxQ98ckbaVH2SkPdYP5L+IERdTp0+Pm3kknPlyF+pnDotLAQw3oV0vf1+8Ja2UPS0kPj6GEoVA4aoiA5qwLTb9Wq1arFfeWtkt5+j45JV65cKYXlK6qJSiH6l7SscGic0uvIcIICpzfAWYFjPTDpx9Bl8uQp2TmUcdqD0bPSk1FpCyeEqSD5nyoUScMqnSkz0mGJkLTGjx+v1ovKm1V2hMOXMzdIh8Y7SvLP+yHEZz6Id494N4XelWGE8aLCcfoYFRhZqIxUXHOHhRdzKjJgULnMPy8j8tLo6wT3PTqet0pLJUYJ8qIf81UMH8gjjQbnMZNzXaVs/LtO/vQ2/MkvP8UkKxdpkpZOrGfLC5mxOnkTmbzybkty+Aod1lZeGVG2NTpUYZIZq4IDt2bObFBLgd4eSwC5LC/Ii+JCwWJJUdfAGjzpWJh/2bDeH9REPJQpygp6yoWhnikrX+ZeGTKpPUpefsRamiZvu5NfygDMsFKxiCzfmWye/TNY+MlZhkPKU1gS5vnzgukYqa9HpBNcJ3V/rdsqViCOOP3N9fiJbQYUBWBzHwwfqKiMa1kmpIFdfvlr1HIB1FdeeSU7Bm4QkKu10lOgOOZMjsiLdxw+xDkZfvjitOIYP5QWFQuTl9UQ5laIx6QfPdipp05Ti2bZspfVfGU8jAxWoEymYerSE1M54UWFpeJxMhz+VEwc/Ddu2iJm+VrlS6VmTgN+5qiIKDwa8qxZM/XFPRrn+vXrZD5ghSrZBQvmaU9OY3nppeXacDDHGcsjA409nDjG4sPimS1pGTakRxo0XORiCALWa9fJCWPyzPwIeaQxcRoby84cNn3GggV6FMAoGaowZHjppZd07uDss89UhYcVRzkxxAJbjkKksXLINJYAPMmfKR9ejARnnsnPCy8skTwc1UOaaMQm72GRE907fvwp0kj9BDlzFiggXtBDdizA6fIyH3S8sc0QDAzhbXxYWcPaekmU18sv+xPtUCT+5Ut/bAFYKI3IzUTrCunMli9fKXxHSb2Yq52KwKJh8AUjLGQ6wTlzZoty8WfkcCYK809Yc1heEtFNlk4MWoZedJRYyZQ/wz3q/XQ5cgN+nEqHDAyRGBpuF4VJXBQMHciMGQ1Sgv3L9fhOWSo48wtMfAEcqwE0RjYzYTkQjuamUnr//NIvfvwoYOLgiE+jJS5h3OPovW1pk16dRmwVzr+gln/pDxo176WQ1fSVShbOMbC0Cy/4wxcrg3sqBQVfJfGxknDEZfJWgjUOfvTUtpKBvDSC1TLBx8t8NEbLZyiDpRXmAdmI60+D45Agn2fSoLIjDw0XWnOGjy3REg9ntMQljpncYGXpgBNLnd55ayH70MYfTIiPs6VtuzeceOaen4ZJGZocPKfhjFw4bdTC38oBP+TGkQf4WJ2APys9tqwMHLZ8jz8T/Dh4QuvLn/qXH6oRrkOXbLlihTERzFD27LPP1rkQxS7Lz/JkZY1s4GG4IDcuLXy/WEXrZd6GTgWZSAdFdP755ypNf/rTdkasm6VnOLFeTE6GOXPmzM4Val0dFoe3OkIRaCD8ijkqEWNjc2FcacbmXXiVth+GhTSFEf0TyiCMb3GoUFaJzU/jSvxijkq2UawArAN6c2tQxWRIS9fr0sI0itEn8QmxMhmJw68ND3AqkpdUf69TlW0YnoaTpR1eFbtEmRXgmyi3kDa8Jz3llSJ7Whpt8h0yk3uUBVYew0r2IzHUMrnS+EGu4YZHitxhOMvpdCYbxEJniMxK3KxZMxJS9I/HHrdQKBzMPhqSNab+AVXXSOnzf0LyzgqBt8S6hnPk0p0IeMuzSTsvUyZdlR51AsuRdoGVxNCMttHV6XSVvKX49LhCKSVMDIsInMwIoFhwWFj91ZlR1uflN7A7Iii0HaXvKF1H5OxqGuqnzct0Ne+u5AfGNh/SlXz7Gy8USX9WJuDd4wqFSs6qSbi7tFzBY26ypAZdexs48ZlQYyae5b320LPUyHwHb772tqPBseJRacMjHpO/LLW3N989kVdMfCY4kZPXLViRo5y70hlvluHhzTPbBVh9ia57EOgFhdKqW4t5n4Xe0//yO1Fp8PajAlAR2Pz0wgsvaAUkDH/2ZHD1P6PxIBm9Xam47EZkx6rO8ufomNn3ZqbBa/zhyz4RVqOogKE/Mhnv0B+a5LPJCH+jMT+LX4zGGgHxaIAs09pyc5KGZ3Pcowz5oBiNleVty7fhRpwkD6PnarJx7+Pl4xsP4oTh+XuPQ8ifewsnX5s28VGunbrCgqwsE+vLc8ITvmk/42FhyGF+yjz4gz8rRLw7xSIAL1iyE5Z3k+ggCIcPPCw/+NmPMLsPr0Zj4STJffgjfvI5EG1A3/boKg8gs47PshgbktgsxH4K/NheznZ5djWyZk9loIel8IlDg4KeJT52cbKJi3h8qhQLBFORr/nJ6qVWTt6dYP8CjpUN7gfLZBeVduumbfoOBVvo+cIfs/xmapIOezrYd8LeDeSwCoUsvIfEZBkHGw+RcCoqr63bQcvs0eA9nUbhw14XekdOgid9VnjYa7Fp0yZd3WJPCS9GorA4hoADk9nYhh8ykAc25rG8zvsdbApDObLTlj0P4EO67GMgnq3g0EDZ0UlYQ0ODysvuS7b7s1Wd5Um2vYMbCgelzj4U4oIFOGOZITPpYBlukr01vIeEtcPrDCzDs3/HNpZBx74Yyod3bvCHjjSYbOREfPZ74EiTvUVs9AJf8sx+FvYlHT7Mp05bVHFykDX3KB5WPqZNm6ryQY98TFzix9Z+Kz9NIPuHfJE+8eCxSF5MPPfcswWrSVqm7IlhXwuyezyO64HcQ2UFknemwHrc2HG6VE08Nv3xfg+vQbDdfrq8ywU+lBV1kXxTpwgjPnUJGjbxsRp0Mrge3dgmilsq+X55F2KDVnI29fCpR7ZgUwHptdipSAOhwlABmPHmnoJkizWfluSTCKzXb5FC483VYUJLA/IvyfGNmjVaicePG68VDeXAa/2jpcKvXbtGN2VR+dev51OXQ3IVEsUB7+XLX9HGgTwor6lSaVkqvO+++1XuXbt8RZwkCgEevPVK+OLF/hOcu6Si8tJglSg3lsnhh6JhmPeLX/5KKzD5sUbLDuEVK16RCtgsjXicvMm7SJUi27bpYcGGRsT+HRoPG9zYOMdGPN7lWbVqtW60YycnDQs+xGVTmm+sIzUOwwo25LHbk0ZOz/zsM8+JMt+j+WXDHrhizSxZ+pJcW1QeGgx5YycxliINVTEV640GTf5VdqFHKdBh8PkKFO2iRS8qBihuNnbh+Pb0huz7MihLcF+zZq2+jfy8lDkb4Y7Kxrfl+tKf3/FM+tQF9nE8/PAjgmG91iVkox6FnYI1XJQRZYiixkphzxPverEnhV27T0veUcK+PLdqB8Dy8ChRcOvXv6oyoQSxVHkdAex93atWzPhONkv/T8snR/n87PDhnGRfq4ofZUJ5g81EUWDgfjK4HrVQaGD0pHxblyMKqEw0ioULz9ceAivlhRdf1C3WTz31jLwVe4Vu8EEJ0ZuI8S2FOkrjUzjjxx/QIw84MX79uvXa6Kh0WC8cG5DbVCQVi2/Q+Aq2RS0GdrfyIz6OSk3PjrXE93poKDRuvmPTIr2u7eBl1yuNju/+0Kj4LAffbaG3mjZtmvSGNdozTxULAD70wiiUV+RNYD5QPlZ2eM6ZM1sbNMcVkF6TvNiGkuCtVRTEOeecpXTIdPToUlWmM2fMUItk9myfPlvlL7n00v/f3pkH2XVc573fbFgGg43YAYIYrARBiCskrpIli1ojS7FKtmUnlZQcW0ul4opTqlS5ypZslRepXEpsJ045sUp/WOWyy2VLlhRFEmlR3ClKokiAxEZgAGIhsW8DzGD2fL/T78y78/hmMPMGvPPmTTfw5t7bt5fTX58+ffrcXuxkRQWz2bmrV68Jsxo5lW6W0cKq6a1ahc0Je9D6lu23qvEts9m2zz//QlgurYjFd+96188FemXvRZn4tVTaCUJpg+ZddAhbevBjx46a4GEaPJoIq48RBOBm9hDFQ7vhmUWFCFNmnnJ8KA3KtQiEHBO3EDrUwalT8QCwPmlJCKv777/HBCrnIlEPCAGEK5odfIAWsE7aFGuc9u9/xTQEMK30mZWG/cqBDjt7iPkehGHiHVogfEO6CJcOCZzVqkdWFKNVnJXAp4xn9O51dVzgRicEr1LGzs7LJkQQzNi2duyI21SgaZI2GlxPT5/RS+dRL8dk0FbGcjkLlDjT1Gdj0sBpnAwtqOi5atzMOIU5YQQaNA2UHjqqx9g1ULmxvwxKLWaJtxZuiVlhWCqOyqSXGJ5WnlmcB0Pfddcd1oO8rAbJEZ3t7etslXJBq3FR0QnD+gwYgrSY4k3DZlo7zE5P19TEimFmNTbYFPX96vFf0hRvek/Sw9FYOMZUyUnjWmjqMMxHmRm+kCY0N1uYBjHrQisr5UJdpqcnfYYtN6BpaSzHM7NYSQeNgDUf4AZDc5SoN1jyJyzPLO6jp6RMaGPgzVATXPslyObKj16aRuaOmb9oFGe0pwgaQKfO3tm2batpfm1t8+zAK9IGG4Z1lIVfdEVbix4pO3VHXoQ3ehQu3kf63D/G1cFc4gHKRB0i7H2LAYYU4M8QJk6OPGTpUBfUE7NaoYH0so5yrdfqXTqindKEOY+a8AhYNAz4DD6i06AOEIbk0a1jTtBIruoe7ZfOLQ55jxtubOlIXXqeRoPo7u25Eg4XtS/o5HwkptPPFJerQAFUGgYM48IEPgR0KoaelDN5YHgfk2JTwRAZKy9+ucAecPOWzWZ7oHejkaAdoKazmMx6cTFxyZU+x1HJb91xt9kyUEdZcIaqD+OhHcCQTJ03etRw6YnwW7Z0mcK+ZtoFDYRhArN9+/oumhZAo0UtZzhBQ+PcHQQjDZlhHEIT5seP3hRtC/82jcGZHekCAKZFQLEhEZoGNhjaCGuYEA4YWMHGxv3qSeergaOSgwHCBueN1BboSVAiMCg3ApMemUO4KB84sxaF+sg2RE4aRBBQPjDClkKDoYEj6LAbIfhYx4TgplHiTx0h7GiQTkdMu5Q++djyBZEKLdARw5boJo7/OJ0RQW3xdI9QJA5bR4AhZYdWaOq50mNahCVY/MMBZ7MXzrJV5jTsH2mYc889b1Wjf1VpBusAwPyAhDz1itaMbQqbDZoQdhEwBws6k97eq7ZcAkGK1oqLGApH1dEZhadeWYvV2NhsWl4W2yJZdXvJXaCAJL07Ng2MgxgmfyLV+YjG9xj8GLPSO+7YcZd2GHvWnmFemBbGgqnRUHbLuHrhwiUxXhQcMEK3KplG8+CDDwxXGAKMCvUfxjnGw6iwMAXjen9Hoyf/n+j9cRlfL4rRTIuQ0e6WW7aopzocfqqhAp052gcG4dOnz5gtBMMx2gTCgkb1ugyXzzzzjJhfNgMJRHbmIp8nnnjSBA8E8oy9iIbvNMQV1sF2LEMYXZDthC0CEBhsAckhYbdpEyPsAdgbzAisRnWLFvQRhnRiI0Vw82u0POhtKTfDDYaQ7e3rTEg0nlTjVf5ZRxpgwX4yu3btssbIM2dKv6A9a7Fh9ElAkc/dGgKgUTH8AXsMyQwVfFV4LFs2dRogyyVmSfi+YjRDE+EQIqWD42PHAy04ygEeLNx86qmnhzFESDME27//gNmVPvKRXzAMiENcMEC7Bdc777xTpzQ+omH1Cxp6LrZ9Ta5KuzujYScCk/DU3+OPPxEeeujnjTf27t1nwz7KD+8dPXpMvOgnBUbe83xYZUwnQH1DDxs98Y6yzRSX+0xZmBC18vz5c+plW8yqjiBhHIulHyFDw6Ah8vUDY+QSaRBsVMMQiPjsekUvSONHXWV1J0Y8xtyMc++++y7rlalEwsPoVDI9GQ5bzeXLnZYXtgt6e5gZR1jsGmgm9FDYAth8iC865IFGAxNjC+JKr8zucKTHPibN0gYYhyNUGItD35o1Mupq8ycWiKEp0AOikVAetI3Ll9EwdC6z6EMAkjdCk3OaaUTQB8MjVOkxKSOCjp4QjHhGsLhhkjLTqAmLoMWfuJSL3ph8iUNZI45Lh8sPBsTHMHvk6FEN5Xbbuc4cuUlZCc/nV4ZF2Imgn7QZbiJQyQ/NAUFNR8Bvvsrh9hnSx4EP9MAD1Ds4kRbaU8S938rHEIvGzBCFMvHFhIbKNgYIGb6gxeNPWRF+wb4S0ohxfJ7mqFQcNOCoQ+gEA/Djng6M4RR0UHY6CTo67ilXaytfJFssDM+dnaprdUgIT7RbDPeEaW2NWybADwhtbIVgRt2h8cwEl7tAAVQqqtzhF6V5ZIbRwhGGsB6ecDA0dgnUc7YXxH7h6v9o6Xh8Zz7CuYvpxyd408N4vrzJ0ur++MH0DHsQHLdsu0U99ciwxKWR4Txde8g8k165I2w2H55pBDReT8evHtfT8bj448dz1q9SPIZ0e/bsMcGwTeWgUXt8T4Nnj+u0Zf24x3mY+BT/Om1ZP7/38Nl8PDzv/N7fZ/08rqflYd0/+1yOn8fhGtPkroSvPZXxXqW8ycOrUOSa8/zjU/3+nRKBUgnObEVXel/u5+HxRwWl16QnXiItARvAtSqQ+GOFKWcIz9/zzcaNYWN6CAt6MBzDDFw2LM+V0sA/60ajL+ufzTcbd6z7bPzRwhEGzZAfGiPahmtwxBktDfxx5eU1zzfhz2h0jDeraukdT77V1M146a7lcDUjUCYDEhWcZY68GHo0mrO0jBamlv1rDc9axirRNhKBuhAoI4uUnhICCYGpQiD3rzz0fnzD5wwThijXcthHsEtgsMuq3deK5+/Jj/ikw5iZNDCUMbMVP7QZjKtc89JsRtNgsv4MnTBcYnAsN2h62a7HNdZHlxl/fer+RNKFTj6ZY1R2HCcSfyJhoZWf15XjRRoYi/HH1pNXPY5Fe8Ql7sRv83yKRv+x4tTDu9y/ZzEP44knnjAGcAbJAul+zizMRN2zZ599kSBc+XuP6/7+7Ff8sQUwjb+j45B94uWwJejAeHrq1BlLm1mhhHVXKT33y4YrD1/pnYfhynu+vtAAyh1zKph34sKEg7f4KuH5ZsNX8qv0vpwej+dXhOpzz/3YvngQ3/1Hi1eeB1+KMN6CMV+GyuNlw1e6Hy2/SmERsOzDynahYARWfBEjDfbdPXjw0HC00dIdzX84YoWbquKo8+LTcYd4jg4sm0aGzSrkNr29ctVQHFQ+vfLpmE+GfCL2mZS8h8FxaBL0eDS8uHhOsz0VnmnhMJNMf4ofNQsY2fcP9eM66aWoOL628MWCz8bbt99a1Hb4BDhon/bQktg57dlnn9MhW+83esgfrYYwTIzyuSz4QSOOeN4TEo53MI7NF9E7KysakXpunD/3Kwxrl9bqxLz17etGvD+muS/QyVcVen2mmdOIyMvpMA1LZWLyHY7yZjUY8gEPptQzkctxdFqjpsa+vRF3n93rE8Z4z0QudpTjLB/PL+KrPWvx1wQwd4RlghufT/k8Olx++wIV55wQFrqchlg3kU7e+b65pA1eTG7k6xh5g63vVYvhnZm727dvt8+4rIFibsjWrVs1V2eF4UTZcfAJdQIP8TM/vWMCXJzzwvyUOKnP3ilPjlrJ1pdF0h/y95XQ8CBhKA8OGq1uy8rHOxY38rWRoM5PhGXCW73u1perQAFkAKXhManprL7fz9FEoLs04YgDjtAWWGRFI2KtB9PkCcsPwcJRmjfeuEYb+r5qazPe9rYdNmGJOQn0BjSylVqIxVqYOJxiNup5m9BFhTI7knkSbAjMXAdoYTEYC75YdMjamq1bb7ZDwF4WHTAic0m2bNli8yQQBJz5w7qdTRu1H64aFmkwh2bnzp2aK9Nt5YHhmdPARDLWsTSqoTBRjol0zHs4cKAjnNQMX2aKMquXBsb8ENY1+deVO26/3cpMnmguzGPYseNua0jEP9jRYYv3iL9p08ZieeP8Dj6hMzeCSXEsZbjjjjvsa82FC+etrGDJYWLbb2UXexZMdti8FoQZa4SYys/8HE4BRNCgIXYoPzAlv/b2uCp5uD4l4A4dOmS75qPec4oj2B09esyOVKX+9u+n8c+xuMRDQ3z++Z9ZPe/du88E4M1bNknQrrX1QWDC5D00oCeffNpmt6KxMXeF0xbXqF5eemmXDYVZL3T8+AmVZb7VB2u5wNHnxbD+hiHZzp0v2fwe5iMhTJgkx0xs8iIf+ODmmzdpPlCbePOsTdhjE3E6QGgkDSYZbtq0yfgAXHawHkiCGw2YhYKsZCY9ySDrEMCBuqB+mcMCb5MGZz8hDOvN5T7kAUAmi9GzcQYxsxg5HxbAaZQIDA6DQkiwapVeVm3WNBqOf2Ay0gN6D8M/8sgP7Hnv3v1Wme/QIeAIEJjJHbMwaRjM8oRB+cR8utiYCcOY+61vvdt61zvuuN0Y60daPcrMVmZgokazSpdGSKOCmWAytBaECQ0DZqOxvP3B+y2fH2mlMTSwGpr8BiWEUM/x27p1iyZFLQ23brvVGhfMh2NSG42VHwsbceS5bNny8HM/9w5rSPv37xctR23G7h1aho+AQUja2ibhCT1oGDRkBOgDKgMMTsNFmDz99LP2bIelyzYD3RzJQQMEVwTasmUr7ChRPhUzA5b1LpT7vvvuMfw6VAdoCq4JQCeCklnF0Ll+/XrTwBDUBw+ycDBOxYcmZse6QwNjgh9HYXBkK4KcBsrQkxMlqUcc+BIOQUUYZiffKyFNPbS3t9uVzocOgclkfLLnKBL8oIf84audO182ofeud71TcTba0Jfhkjs0iYsXLwjns6bFuFZLHTz++JO20BM6qdOjR5nVfdloNe1FWLMEBIHs2hR86/RQFjpKNGQ6QTRRTqmsRzclAgUhQqXSCJlxyixYGIEfgobKYXUrMxbVRszRWGaJqW699RaLd/PNN1sjlc6jmazxJDoaAMMFeiAcjZX2Sm9kRkPliyMtd4RBbeXHsvZDh44o/bmWNzNyWaEK8xOHxWPMzm1qikMt/BAS3usgnFaIkXEIkKxDG5GCLHriNHtUXujCGQ3q/RiGQIep4npmHoufR0OvFoXlBb1vst6XHo+p3vTEfjQERcPgzEzP2cJ3zZrVop/Zv2ekKTUFVu6Ce/TvFe1xXQ9psoDu1KmTamzHTKPhGE62lwBP6oRGBK2UN+soN8IaWtD8mMVLOFYSo5kgrCgT+eLvjvsdO+4yelcsj3vDIJzAinKAb6yrOFwaridphgyTqVP7CTcccXCcv8TMYWa3trevM+2SBkzHgt+SJUtsiJSlhbQ5VbCj46AJcrQKhnCs3yEN5uPQiS1dslQaC0ewUp9kGIdY3EOr10N8LtGEIGTWL7yFttndfe0TE5X4tHNTIFD4qhKPiKRhwmiMXRnzo2oj5ZmKTo8E8+OcB2EAGh1x+FFppIGKzSI1JD8GxjNnSlv8xTilRopmUXJR4HgY1zpg6kuX4mHuS8SYMBNhIhPH3ch5Rq1ljF96p7U0YkxnLvKhpyIMP5iPnpDFZMTxH+G45537IXgoo9lPNNTgnq9UGCTpNcGJr2UM4ZaIybMu2kf4itZk8WloDDtwJfxi1ZMm7wm7dWscApzS4d07d70kPI8a/Ux1Jz+mmqNdIXiyzoSgyh2FIfhG+9aWLZulQR021R+NB0FTcspU4WIcVhdHTOhQcFGoMDwmXBGfIm7E4efCOdZpqV5ZoQz/YO8AP+qAeqEOYtxIoyAfdvDRmjU3mtCkkzgnrQKhjAMb6j7yK5pprHNwI01odHyHEyzekAcnB5bq0Xezj+UqDz/dn3MXKLESMzUpEMgR8gAAODJJREFUBGlgqPysfYDx1q5dPcxINLLoNM6V+rt79x4x6Fmp63ttoRsNgs1wsAVs27bNGKKzszTk8QqioeJ80RrM7LRQ2TAEWsXKlXGNzooVS0XHGmtsxpAW2OPEVJmRixYB8zIsQoM4evSYmJdVqwvNYHrkCHt4nFMPf8qGP8TEroF2gWCIgiamB41oAfzwjzRHurlHGGAvQBOgYWPfoVeMPbVrOzCwfsO4xbTBB8HNOiNsPgyd6K3RGsCYoQW9MY3nVuGIsZdhKEMmHLYGhhHkBy3Z9InL3itoImiJ1BNrWxB2NDo2WlqyJG5FEamJf2mYuyS4MD6zRQCaD9omG2FBI/6HDrGXcPz8St11aRU39QQ+CFmGVtg/EOKUG0c46rfkCnZ8KEMqhojY2xhSl2NP2REqnCCIbY+1VNjLqMNjx16zoR42HIahDN8YzmJfee01dviLs6NLCy1L+UuWFesSgc4vdhwl+urnLtcd22BEGi57i6xvbzf7BdoAe72ijUQVM9osMFht2rSxaB0fUMNts7E8qjpjf4YhceOeVjXMLhl5D4ZjGmuvEuNv3rzRjHVWTWJob7j0OKj4MCH50esiEEi7U/eX1DMRH4MlXxAQDthgyBPH9o2o8fRU0UWthUbJOD+u4em3rxA0YBrVvn3YBU6KnngUKA2LcpI2DMxiN3pNHIzG0ARhw5CPBXFcEVgMBxF8GzZsMAz3qVFgO0F7QrDwDnxpJG7EnS/Vmi8oNEAMhmgyNNyOjg5rjNhzUL8ZzmC7ooHyDiMtgp0l+DQeNjICc2wbDPkQMtCOI7/OTo46jTvH0bCwAzGUpVxgT/4cY8pcImjEIYQ6Og6ZTQQhh0Ge+kZwtba2CYfTJqTBDWFx85Ytlifp04ipP9IHd4QQ6bHgEbrhMYZeLKxESCFw1q/fYFoGcRGKfP1DKPN1ymnCn+HbTzWtADtWTG+u/Oao/PtNCFEf7e3rLBwGeuxa5AEPUWbikB7CElrhDeoPDYcFhTjqEmEFb9Wby32mLJWGQY8eDoaAITFk8SkOfz7P4XhHw42VH42a3/zmt8Mv//LHisw88rMxDYew2EFQb12zKc+PFaiWvvLjnRvR8GP8a3t1iLa+vtLnaxqaNdYM3ZZI8Q9lgEFhIsLRuHGkTy8We099ppSGQbnJ0/Oi3M7QpENj8F5OwdTI6c3AJtLNlyXKwOdn0gUnz8/zJF/ccLpFuvHDWMt73oEvVzewQpu/J13KzRUsDCvFA9/sZ2P8ie/4e7qUkTk0zz//M9HXYl97nB7oQAtjK4F7773HhCJlIW3/JAsO/Cg7dem8gJ+4QxiRSnQlu0X0pxzZvKDvuLQINNt10jjQoKALI297+zoLSznQhI5Jc3n2mWfCxz72MRNI5ODlQxs2W5xww4FVpNGHbpFPyNvxIlysb45/jR0H8Rxb3teT8642tzIBNkzjjmd2S3P/5obS7Fn8cDATkn6dDpmm8XjvaHGL6cFENEAXJNn0s/n5vadN3u4KQyVG9Ebq4QjjcT28XwlDD6Tmb17ZOE4rL9yfPMX6Fjb7h/cuvPD3EPIekTd0NA+3qBL9ntZwPoqodjIiLli6Ixy/bLl4bzjauxjSG/NY+Lqg9MbcP9ivocNes43dJk3HafK8wZcvb9QrGHnaHs4aHAbsonAo+SMEPZV4BUvKmfX38DRsyrdYm03zuX3npV0m5NHM0Baz4dD4Dh44GN7+9geNJn9HfC+f3RczAhfvgKCE8B7Hr+Zv9V2q/2wdxBLUz9/cNZRqoctqMtnKqja9FO/NRYD6YihA47GGJ00n6/KuT/JD02L4RafD0Ci7nCNqKPHLC8KMiX1ZAZWlPd2PjsC0EShUOC4Jk9Ers5beeH05TZXqjTCV/D3O9bw6PX71fP1KXv6O+6w/z8mND4FpI1DGV5zRQ8Es/GCUxCyj45TeJAQmg8BIPXQyKeUcF+HAuTLjdRjWMMrx1SHbE403fgqXEEgIXBuBKREoNGjGtHytyDZu7vGz8bXucR4WP/cnDJtNH9TnRj4XEsbD+b0/exy+Hu3atcs+kV4blhQiIZAQqAaBksm/mthVxKGhYxxjPQjrSNj1nW/3WMuZ58Gpe+x8zpwRvt/zLZ/wnP7GIUpMq2Y2JetEmDCFYY3v/3yGZI0QC/TWak7FZT2z+JCvL8wd4PMtn+tcwKRhTxWVl6IkBK6BQO4ChaEHZ6OwJwif7ZgwxQl7TChide5cWd97NRFp585d4b3vfUgzJQ/ZJDMmbzFBiUlQW7Zs1qS0K5o1ydYGF2Sxn2uLzJi0xqfIZgkRVqYyU5N1LPv3v6Kd8O++BhTpdUIgITBZBHIVKGgnrJNg64IPfeiDtuiMmYsIBjQW5iTco9WYDGO+972HbSYl+6agxWzfvk3DmhAee+xxm4CEVoJGsmFDu2k6TI9nmT4zH/fv32eLwxBUstdbWseOHZksVil+QiAhcA0EcrWhIFCY4s6kIuYBoJUwhbpdR0WyYpbpywgV/NesWW1GVGZQskoTP9aeMAxiyjMTo+L8higTmR4d5xWwGpa1JHGeAXGWLtXZKdrpK+ugJbmEQELg+iKQq0CBdAQGGgnrabCNoJlgYGUlKmtQ0E4Y2rCmhXU2rNREy4g/UohzBLCBxOnucQo6QZiIxFRxhAh59PZGuwnCiiM/3TFdOq6erc8l5F7OdE0I5I1ArgIFIcCeEmvWrNI2Az+x9RQvvBB3QWPR3aXOTjvSElsKxlO0F182Tlx+zGJkPQVaC4voWMiGsMGQ6+tPWBjGStUXX3whPKvNjljNzOI3VuuSBgLlmWeetX0/8gY85ZcQqGcEcp/YxlCDuSC+wxWGWYynNHS+6OCPwMBGMk+rdS9oqjT2kcUKwyIwVqEynGHFLvYXvtzwRYi4aDQMe7CtsEEOhl/WiaxaJUOtrgggjhVl+T+aESs+EXDJJQQSAtcHgdwFCmTbXBMJB7QQ1yrwZ1Um80VME5E2wUIsBBD+3OP4SuQLxhAmOLQWd6xOZdUvWojbSXwxlqeDP+9tAVrZGhNPJ10TAgmBiSMwJQJl4mSmGAmBhMB0QCBXG8p0ACTRmBBICFSPQBIo1WOXYiYEEgJlCCSBUgZIekwIJASqRyAJlOqxSzETAgmBMgSSQCkDJD0mBBIC1SOQBEr12KWYCYGEQBkCSaCUAZIeEwIJgeoRSAKleuxSzIRAQqAMgUlvX+CzUcvSTY8JgYTAFCPAjPO83aQFih8TmTfhKb+EQEJgbARYs5a3m7RAYSFfcgmBhEBCAAQmvZYnDXkSIyUEahOBaTnkmQqia7P6ElUJgYRAGq8kHkgIJASuGwJJoFw3KFNCCYGEQBIoiQcSAgmB64ZAEijXDcqUUEIgIZAESuKBhECNIjAdv6AmgVKjzJTImtkIcGrDgQMdOmOqZ3hv5OmASBIo06GWEo0zCgE0E87i3rN3rx0Tw/100VaSQJlRrJoKW+sIIDg42YHjXbZs3qQzun8moXLQ/KaDUJn01PtqKohjNHr7enWWDmfuDNo5O61zW+2ojPFMlON8ZNJYsGBBaNTB6MklBOCj3t4+O0IFNOAjzmgq5ycaJcevDKjRcsJk+fupQhK6ODHzos6hOnLkiB1U19191cr0yL/8wM6QWr165VSRN+58cxcoAHf5yuXw8MMPh71S6XBLliwJ73vf+8KNa240AZGVxF7h7sf1kUceMRXwgx/8YJjTNGeEOlge3pGYiL+H9bjpWtsIwBMca/v888/b2dd61HlPhXD7bbe9ocOh93/ttddN8Di/jVU657tynsC/3G+sdMZ6R1oIkz179oZDhw6HhYsW6qTLG60ML7+8x/KhPNczz7Homcy73AUKFf93f/d34emnnw7vf//7rRf56U9/Gv7sz/4s/M7v/E5YuHChwO2VMarbNBcO6eIH4PyoRCQ4V9LisC5OIuSZA9TplTjQCw2I9xzoxSmDTY1NpgGRBucnuz+Hr9NjEZZ3HMre0twybm1pMuCnuNcPAepu79594b777hUvoKG8cTSPFtPV3aUTJ18PGzdutAPjaKR+eByHzhEGBz/h3yfeID34B22Y9wMDaDm9xnvZQ+QGLO6Q8Svx+Y3HwY/79u23UzHvvPMOOzWT8uzevccE5DvfeVdYunTZuNMbT55vVphcBQqVxzDnb/7mb8Jv//Zvh3e/+90mdW+//fbwD//wD+HChQsCcbcJHIY1N910U/jkJz8Zli9fHr72ta+F733vezp2dGXo1BnIt9xyiwmSl156KXz1q181v3vvvTf85m/+ZkBAff/737cD0RE+99xzT/iN3/gNEzjkjXbEoe0f/vCHpRm9XxV5Knz5y182NbO9vd3SWL2a40ub3yzcU7rXGQE6Ic7Bhj84OZKOopIj3IULF+3YWho8PLlz1y7rvDZt2midy6OPPhbe+tYdOhb3ZNi3/0DoU4NHAN267ZbQeflyeOGFFzQ0uag8ZoVbb92mxr4k/OAHP7TOkM7tzjtvt/tK+Vfy4xjdY8eOhc2bt+jY3JXGdxyze/78BUsL/m9qakgCpRw8JP6pU6es0u6+++6A3YRjRTnD+Ld+67cE4HlJ6n3hV3/1V8PatWvDn//5n5twuedt94Rvf/vb4fd+7/cM1C9+8YvhypUrJgD++I//OPz6r/+6qYi/+7u/qwq+1SQ9wucLX/iCMcKnP/3psGHDhtDV1aWK/0H4wz/8Q4v7t3/7t2aH+dKXvhTe+973hs9+9rPhL/7iL8LXv/718KlPfSoJlPIKrOFnGnJPT1/45je/bdrtqlWr1GG9S5pmo3gmEo7meunSRdkj5qlum4yX0E5bW+eqQR8PG9avNx5Egzlz5qx9tr3tLdut83n88cfD4sWLTJAwRL/zzjtNU0azYN8R4mBIfdvb3iaNePa4kUKgXZEJQDqRCSY6MQQdgoVzv+fOmTtCWyb8eDWfcRNxHQO+US+8jolXSgqVEdUSYDivmHs/q5jhChWF9H/sscdMAHDA+RNPPhHe8Y53hDVr1oT1qvTt27ebuon2gWDhh6ZCL/Kd73zHhjy3afy8efPmsHDBwrB161YTVM8880z4+Mc/HpYuWRq2bdsWPve5z4VNmzaZkGtrawtPPfmU9SzPPvus0VeJ/uRXmwignaxbd1P40Ic+GD7ykQ+b9nr8+GsatgyMIPjl3Xul+a4bbpQNGhq1tc03e8U5dWi7dr0cbr55i8UfFI9evNgZTpw4ZXxx4sQJacvLNKyeHY4fP27Ch6Fyvz4Q4LZs2aJ3USCMt9HTDrq6uk3AtbTEuKSFhlUuTMjr6NGjRhthatHlOuRBcNxwww3WWPkURi+CA6gnnnjC3jH0wS5CODQKhib0IgCMfYMfUpxxJ/GuXr0azp49a2kiUBgm4Uc8bCez58gmorix4vttfDtXPRKCDD8clXr69Gl7bm1tDQ899NAww1mA9KfmEfDhx/z5bVb/CxcuMK2BTqhR/6jjgcGBcP7ceWkSbcPloVMjLPXOsANe2qahzcmTJ22o09MT7XOLFy82nnzllQM2vF64cJHxYLS5RK0BPsOmMl5hMkyEbsrj8Fz+BRO+fuHFXeGet+2wdlAeJ5veVN3nqqEAAEbXD3zgA2b3QBPAZvJXf/VX4e///u9tGEIvcNddd4UdO3aYvYVKQo1E5XzuuefCj3/8Y/UiuwwvLOGML5ctWxYYQjG7kIqnUk3zUX448kUQ3XfffeEb3/iGfQ1AgP31X/+1MY7bSx544AEz6hK2FivLCpP+VEQAI/4zzzxrHcPZs+dsyAJ/NKrjwPlwe+3aNSOGstQzmjGdDzNTly5bGubNazUbyxx1RggOhh98wm2UYRZ7B3433bTWOr5IzPgNsDF86S/50/nxyZtOcix3WfabAXWuzfpoUKv82fh5ubEKcT3fAQIq5oaNG0xdRBv57ne/a43/M5/5jA1pMNpiUEWDQagwXkUAIZ0ROqh8GN7QRt7ylrfYEOhb3/qWaTj4vec97zFjLOERTAikjo4Oi/N+GWAvXLwQsJ0glDDWEgaB9eijj5qxFu0Iewr5cp/c9ECARobB9cUXd8q2cTQw/NkoPmtqLtlKnn32uXDHHbeZ7Y4OJ+ukwIRXXjkYtsvIiq0EjQW7BjYS0mOog10PfoI3GU6hDc2b1ybbx1Lj5w0b1tvQZSKNnbBo4K++eqSYXhx+ZdNAu0Kb7ug4ZF8n2/XhoFY/GEx6C8hspYznHnDoLXp6e8JVSX2GQTRcpLSppRrzAh6qJP5UID+MbgCPa2iQEitVFU2EcAgPHD3IHGkXg7Lyk8YsWeFJn09wMBCVQFjekRc9Ez+emd7cp0/NMCYTnqpVXY2Q9Cd3BOADpgLwozHycwMnxMA///zP3wof/ehH5V/qKOAD+Ir5H/v37w/333+fadHEgU/7B5znivxmftFmoiyGNQU6SoZPWUFAGuNx8OdLL71s2jI2xBtuWGy0Exf60FyOymi8e/cefd3cGm5ae+Pw+/Gkn2eYXG0oFAzAAZ7G7sMS/GjAuEYTFnHMy3uECu8J72EsjWIFAjgOP/NX2vav+J53zCtBsJCep0M8m5tSFDS8w7BHfkmYgNr0cs5LNGwc9Z118AZzPBobR/oTBmHDZ9pNmzZLM5lnfIQ/fNpYaJZWzVOJd5vdI/oqvN0Mx4tP4/+L4MOgi1D88U+eD6tXrTChBi/29/dpGHdOtp3TYeOG9WHN6lXGo+NPPd+QuWso+RYv5ZYQiAjQgfBD8GQdfmgofKmhQ5nKzgTBdvToMRNuaCUIQehDe7/xxjVmL5yKozGyeF3rPgmUayGU3tc9AjRadzTiqXJoKHGWd5y1zXojJrTxkQBtuiBhyBT8WnZJoNRy7STaZiQCCLhyITeVgm4ilZAEykTQSmETAgmBMREYOaAcM2h6mRBICCQExkYgCZSx8UlvEwIJgQkgkATKBMBKQRMCCYGxEUgCZWx80tuEQEJgAggkgTIBsFLQhEBCYGwEkkAZG58Z9Tb7qXJGFTwV9rohkKtAYfYfez9MhnHZnJqVn1yrdeTPrEQWk1XrSOPy5S5bZzGZ8nDuCrRU65iTxUrVrq6rk8KVSVXQMXlc48bK0FWto359fVY1aVAfrM+ifiZTN2BBGmBTrbue/Hqt1cjV0ng94+UqUNjR+7XXT1ZdyTBHl5iedRdcq2UWFn0dPXrctgKsFkzSYJev02fOVU0HeZ8+fSYcO35iEmkMaVvCK9oE6KRNIa8WExaoHX/tpOFaDSbkyxT211W/ly5drro8pHNcm0ifOnWmGjIsDmmcUb0wjZ16qtZd6rxsafii1ImmAx3dWow6WX4lnddfPyV+vTRREnIPn6tAGdQWfOznwPTi0RzglbusH/f9/ZqinAmXvfe4lfz8HauRWZXK3qNZl0lS77Jv4n02TdLwqdIekjjl8cqfPaxfSQNMxnKV0nBauA5p4yA2SM6G8/fZdCv5+XveWd1kE/GXxWulV9k0eR9xRXuMAGbfe3KV0vF3XPv7Bq6pFZSnwXPWj2nrYEs9ucu+L/lFOv05eyV+v9KpFM/DVS5fKU2rX0sjS0fp/VjpDL+j3VTgV39fS9dcBQrgZysAsFFtueJ4xzCkTwzlDnWe3jPGLTGNp1WKE3dfIx7xSYd3OFc7PR/8eFV8beHIo1dbKgzHEU2o3lnHkCCbhlJQ+Lj+gnBsf5AdvpDWlSsllZlnhnzZYUXMj3RiTrwjDMIXx5U0YWx3kdbScI24CGmnPeLaM4JW8Ijn1sR0GRI4rjEf8CgSIQ/ueU84HK8oX3aYGPMp1Z9CWbhMMhafdNwRJ+IY8yKfLCY8+8/jUPbsUBlMIq4leknThwRF6CRMPAVwHFSckUNL6tc1mFheylfiAcqBfyyXOjLRkR1ue5wsv0ZcI+9ZVGJbOn6NPE5duCvn1zfi6nE9Ru1ecxcogMVWfFxhztOnzw4zOqrlmTPnVfFRZabCUOdRf0dTO/E/q239YDh3bB2Jn2sy7L1y8uRphalsZyAf8jh37sIwM3dJEJw6ddqYFFoJ85rUTmwelRzvic/+ozA8zzD4a6+dsPIRJ+ZzOlwRfdyXO/wuK1+GhV5elq9DW2+G0c+fvzhMq6eBYINOygyNlJcr2eDPTu/8yIMfeJ05e94afDktPLM/DO9phDEOaVyyNEgPR/onTpweIWScHq7EY+d26PVn6pzyuLAyjFRe6rmcDo/TrXqjPANFCUGjjbh6wx0y3M+pziulQTrkc0LbOmbfsxH1Ze1HjB8/aCWfbBinAcFzRTumMbTsNlyjpgyfsaexxzFcNdzy+iN+1uFP+Ts1nPJ8ic8WBWCOH8KGdpEVbtk0avk+1/1Q2HH8hz98VBV3Rjtn3SHQB8JVMRjX5iaGIWyMRK+ojZN0j+MIA3oFwrDXRWw4DFfEBGIw4tDY+rTBL4wOz1ExvUp3QJvjNBSa7BlNiMY5ODBruMGzCTG9DhsZd3f3aCOnOBTSThhqLN3hYMeh8OSTj2vTnfu1DeDq0CNGIm3Lpyg0oMPUailVNDDyifmyZy3l6zHaiQMzwSS9vUpD+bJnR2QqNT69R8TA+OSDits/wH4YaFtRU5iljaaIQ5iYHhgh7GKv//DD37eNd26//Q6jg4ZHHOgjDo70OLPGNL9iPuxBQxo4K5toI39wbdGOZwgp8okaDuUY0L410fBJmcmnRXt6REEahS/xI44xX9KlvsAPjA4fPqTd1V60HfOuXOkN89vmWT5xMW1s4B6HM3DAYFD1Oaj6pM7pJMi3ubiPDmmyUBhcXbha3ShP0ok8QRoRd8raY9qvsJQfGJEHP+qpQat7SYd6wQ9aDxw4qB0CN4VFOogLPqKe4c8+yl5MF5rQdCl/5FfKEjEhLfzBjA2piYMzza8Yhy0rwZd2Ac0tzYoDdsX6sQg1/CfXxYH/43/+ZfhvOv+GHdG4X7lilcDv13OzNuRFiAA2u6Y1hmY1BByCAWDnzIkbMlHZxGlpiQeAwSwxTpPixHN0+q1S+7XsWwd2WQURR0yv9+x3QeVgvScP9peA0RFaNNbZ2sGN9wi/P/nin4THJAA/9alPa7f8X7M0bCm5GlkUQt1Gt+8M11XszVvnzTXasUnA6MShfNg6EFxsqNOsNGgBqOoMc9jHFGeML1qhPWJCGr2GGc840qSxzNbu6zgY8rHHfhj+9E+/ZHujfuYz/1H75z44nAblowEqipWPOAjXfuGNwOGoCWgFg2z5aHBN2mSoqSniShoi2uKAlcdh79VS/fUYxpQRh0CloZMujjgY57/61a/ouJJ/1AkGbwmf//wfqJEuEibslRpMK2J17dzWORYn1mef8UBBwg/B4rQ6JldUnx7Hy0te7CXi5QPHVtIkEzmwR5i2iB+JA61c58xBcDeasEDjgOc+8Yl/J+3sgs5s+mT4pV/6JaMVPqHhs7WA816fMEOowFeVeA9+jTzQZPlChwkl8bjFKdYFR4J4u4Amyrt8+Q12CBhxatXlqqEs0gbV7AfLRtUL5i8wAAGYbRhhQKQ30pmGzlaOOMBkiBQrCG1DGg0NQUzQ3Iy2QRwJGAklb2BXxTD0ltaQVUH0zn1Kl3zYTpI4XV2x97UtI/XcozA0HgQXjZXnVStX2T63y1esUEOdo7xjvp4GPQ09JHHo9SNjiFY1dHiWRgsTWyNVOPK9KkaBgU0IKQxxKOPs2TQe9ViKiFDxOCZA9ewYgQkNDBrJ1938+Qttx3/SYT9cGlfESI1FjE/eCBSPc7VHmStvcGXrTBpBZOK45Sa9L5oADWW26MWRBm64vGZTgfGpixarv16lQ116PtAPFl6f5INQZ+NnNpFm39fGRgSs6tzK02BfRmjoHqdXwov6AxO2/yTNiCu7+EXBhTBngyTieHkHpFkh7IgT7T+xofupgnRWRmsxDmWGtzwfylpQQ56nDgI62QkfwdciPkIQUwclfo11QVnJnzTYcQ3eK+dXBLXnSx446yAydUFbcFxJLwrzGLaW/+YqUNiZ/pOf/JR6pVvt4C2rkIEz2uT3BmOEPjVAgGxraw2LVXG40xrnDl0c1M72S415sK9QSXEj4XkKD+MPaIPfeeZH4zyvsX5nQ6ck+lJrLF1dV4pxFoa2eVKtFYcxLPks06759HgwKFoPmxHDFDQ0eqL3ve89thk2u+t3dR3Sfp/awFhpWE+rHdARNMSJqirzQbrViywxdZex9qXOK3ZgE8d5kA/vF+qQdw6FopeH0QuFHsVZZuWlF2SosXz5Etu6EsGGyr148UIdiBYPRjt2LNqgPA5jf/Ya/f3f/wOVtyG0t6+3T7cwf5s0H1TmkydPiWlDsXwN1ttyAuPSpUuscfAZHs2HfMAIwYC9gM2aFy1aYHEZ+9MBeHmxPyBU2QO1VbvGc2wnaXBMBengBgdP6C8HVy03wYn9iPL8yq/8sp3Ot3nzFmkslzNxGqQ9dlpjWrFyeZAKHS4IZzRMyoswIk9O8CPfudJAVOUq7yVrxCsVhvJiy6IMRqvidIlWevkV6hx8G0g0EoZaN2hTauJAK2mTD0MejtzAlrZa2y7+0R/9UTh8+FXluSwsobzaKhLeAw8wWqxhEPV5VnaniwHeY5PzZtX3FRPWzq90MtiR5s9v1flQSwwjzgO6eKlgPM7Q0T41nxgQhotV53ONNvgGHGvd5SpQWlvb1Dhv1wFc640xEAQ0SHqWuBsVm1Vzjo7URTUMHD0zFYa0hxHoef0XGaNBacSzesxfYRAM9HY0LsIwvOB0ODQL8ikMkgbKgDbIFhMUhhpNuKCioh7LS8zJtns3ShjcrnhxqAStpEGcQcVtKNKCMIFe8rA0lQZX8vXyeT48myqbKQvldCZHkHl5bU9TpYXaTo/mmBAG4QAmNCbyIsymTRssTzQc7B7QTRwYHRwJ5+WjHHbms7C3MHqHi2GE2yC4QqvKW8yHYRian9WXla/Zygxthqv8SIYf9gPyhS46DtItWF00W7o0ljVr1hTzRDOMPbp5WMOJdTM0FIdY9l6aBulAD+lSBqNd6YMZde4YoYVYnoQXHYQljvMQ+TC8BUvjPYWLvKfht/JhZzR5FbFrsQPhVq5cbWfyoBU576GJOM6kyX2rcIsbqTsekRbiDInXGBJTH04r/D5nTr+VC1oQmpHXirhaHef6/YSiVOVyFSgwIkCyaTSHGAHcCmkeMB4VSAOk13GGpURtOqqAhso7GpGqWBVdApc0iAOTwUA47BEwB+9wLRqCeM/kTEY6MS0aWUNYpp6axgnz4Q9TzJnD+cZxh3QaxerVK4dpM2aL2ZGF5c15LQukfXgeMNfaG1eX4ohZVqrXjbTCZBa1eI3MR1lhci8P5V65UhpQpnw3qDFiRCQfmanJXe+brPHTuGk84Ow4Eo5emDixfEFM3Wq9nzVIIyQS47STzhIdtobDT23BtCoEBYIXB52uNZCEJSOKoIc6JR7ajQmX+NLiOAakQw+/Zk3ceJnw4IwjeKQlqHHNVnlWWMPHD0xuWguu8YgM/NCAYjyloWfiGx3FdKgL6i+maS9Ne6G68aN84IorYRLLAvZgumhRszSLqFkSJ/LeohF10yaNB8GV5VdL1P5E2pfqiFE6IdLAoSnDr8TBD1pju4hbPqrapo3LVaCUo2IVKcHizsH0Z67YNYS+eTmzZd8TB+bPOtM0ikyPfxPcUsomG9TunY5sEARe9rkSbeUJReFTilUeB6HZ0DCS1mwahOfnDZZ35WXBL9IW86mECXFaWiJmhMdl4/BsmHCTccp62EEHcbKuEs40NFwlOkijPE65X3n5SCdLB2mXhyl/Jkx5PvhlXSVMvLOI4d5Y3mx86OaXYSt7XZ5vNp/RMEFgZF02Dv48m1zOBpom97kKFIytqHL0XtU4GA0pjmrr0ryadOgxfQhUTXzikAY9UVSZqysP6UQDYElbwW8iDiaHQaGlUBgpACaSDpshUzdoNdU68ocO6IGuahzxoKO8oU4kLdiL4ZkNPTLa7ETSICxDZ2wYWY14ImkAAVpMiV8nErsUNg4dxfNF4V16U3t3uX42xsLPlwPG5dUyHPNGMIg2SQ0tqaYTA5aeA8Mg49zy3mK8KWFLYL4B6rCr3uONmw2HgQ56qsWEuNhL+AKDkLXeLZvBOO8ZekALRsFyzWScSZh9hTpGE6sWE8oT58zEr1TjzTsbjjSY44GR3+xxVXZgfM7vldHc7B3lqkk2w1HuRYboYD6RjugwfmVYPkrgMbwpD3WDTXAygnaMLK7bq1wFCsDgqhUmXurrkc71S8PH607dxK7Xhw7yjIbPieU+MjS01EvdGCKTLM/1rBu354xEfPxP14OW8edWfchcBUr1ZKaYCYGEwHRAYKTlbjpQnGhMCCQEahaBJFBqtmoSYQmB6YdAEijTr84SxQmBmkUg18/GtYiCG7uqpW2yRsxq803xEgK1iMCMFSiTFSRemZ5OEiyOSLrOZARmnEBxAVCp0svfsdAQl52IN5rgIO5o7yrllfwSAvWIwIwSKOUCgwp1P4QHa1149p9XuAsKJo3ZupTMRCl/52llnz1+uiYEZgoCM2YeigsOr1h/di3Et6XE3wRHZmYks0hdyPi7rGApFyLlz55nuiYE6h2BGSFQXHh4ZfqzayVso4DQYBo9U5tdIPjVwzOd2ze6YWo5y9xxvrLW0ze/auZYZxNI9wmBaYjAjBMoLhwQItxz9fVFCAmcC5Ly+iQ8P9YB4cq1lfJ45c/l6aXnhEC9IVD381BcgGQrDs3EhYltH6nVsb6YbSwhwDuECPu5eHyuZnspppnNJ90nBGYaAnUvULIVSuP3YU4UCNozVUOc7DAnG360e1bjEgdh5JqOhyVdd9l790vXhEA9I1DXAqVSg/YvOdHQGu0m1VQwGg3bHzBcIh/XUqpJK8VJCDgClXi2kp+Hr7VrXQuULNhUig91uEe7mOxeJuxh4hsVZys9e5+lId0nBBwBeIT9VvwLIv7Ol/i54x5ezfr5u1q85joPpU84ndfm3WcuczRGDnCo0nD8pbKGhqhAaRNUUu9AWLmwIdw0t4odb5Qe9hQEEgZa0mbj4oYGHe6kOSrRDhPTHcsmA23J1Q8CfNiDJ7CzXcuxo/7Lu3fbBlDbt2/TLnVztVP/ibB79x7b63bTpk161xLYaf/AgQM6JWJ9WLt2rQ21r5X2VL7PVaDopIrwlecHw+OHtStX6fjiN638DcMCBWEiCWZCRUMU7W7WIKn/b+9sDP8+nl5RFQ1oPByzya5vcSf0uIFzEihVwTntIyFQ2BJ0no4huVZHcvjVV8PPfvailZnNsxEo+/bt1wmFu2yjc3bYZ1PsF154MXR0HNIxIRzNsTIJlCyXoCnohIdwoUsnyun6ZjvrJxAipqO4lqKrBEEjR4eWzhuvmhSMsv399EpISLSfOC8lTqZ1baXq5FPEaYYAGvB4HOdMsdt/s47QaGtrsyirVq2yc61Xrlxh+9AilNatu0knKXaF9vZ1EibV7/c7HpquR5hc56Fc1YHzFzSF41wXZwpfD/KvkYYJE+3raZqJD3m0/yp7hWo/2NULW0L7imv3JqPlwv6pp0+fsfNdmmw/V0120w77MIJrKdfqqUZLO/lPTwQ498hOargG+QyVORSN4dEsHfOClsszv6ameAwKAqRLB6Oxx272+JlrJD2lr3MVKGrXpisgxMcnxyeHDbYN3NBAFCYDesZ+MqjhDsdBokUs0ImDfAKeqCNtTt6DMahs0oA57Ked1rOzZ5NQmSi69R/eedNLCo9k/ZxnKvl5nFq85mpDEWZ2vFZmbd2biklRnujgJx3SLY2oQfIFW/CgjowY0umB3kv4pLaJEIN2ckXHW8YzipWBnDNBNp1Kftn36X5mIlCJL8brV8uIXdscXcvUT4I2Ko8fQgHhkO0JrpUsWg5n6Voa9lVnxsJ4LajS+xmGwIxpCawOzjqGJk06vhPhcO7cuXELFeYOXLx40ca1Y30irNTbZPNP9wmBekRgZCurxxKWlck1E7w5KIzhDhOHTp48Gbq7u03AoK2U/xA8aDLnzp8z2wnChNXGpFeaexIzy27IVJZ9ekwI1DUCudpQpgpJGj2fju0qYcEVgYDQwJjKFUv66dOnzcDKnAD8CYfrl1Zy9Wq3WdwJy4QjEyha08P0e8L5r1wTmqoyp3wTAlOBwIwQKACL1tAwKGNsIWofCACEgQkVzXLlGU0FwcKnOxcQvOfHM0IEjcZ/8auOfyKeiupLeSYEaguBGSNQHPYoSBpsaMNQZWhIoz6h4J95ERIMb5iwhnPBYhqJzTHQokANlQiHn7+3dMs+F3ue6ZoQmCkIzBiBQoMPkh1oKZqJMiwIEAruGOZgF/EVye7PlfiERZCY8Cgb6uCXbCdZxNL9TESgrgUKjZzhSiUXhULURqKmoeGQ1vuYP1qLnMc1YYHAKP7KNRPCuu2EMO6y9+6XrgmBekagrgVKecVZA89oKbxH44g2EmwlCI0oWHiXFSg8845hkmspLjDsa4/8k0sIzHQEcp16P1Vgu2Agf7/3ndvww2aC493w+4xm44KDMNxnf8OaiQRKNpyH5ZpcQmCmIDAjBAqV6YIie49QwWEzwU1EoBAeYeJ2kyRMQCS5mY7AjBQoVPoIAVMmWMZiiqxG4uHKhQn+lfw8fLomBOoVgUkLFKaiTxfnmkg5vSOES2Ub7nCUjM11FKEhO0sypwzjlW6mDgE2U8/bTdoo29t3HXYpyrvUFfLLmEwqvB3plRUqI9+kp4RA7SAwp2lO7sRMWkPJ9u65U58yTAgkBEZFYCqG3ZPWUKaC6FERTC8SAgmBKUUgzuCaUhJS5gmBhEC9IJAESr3UZCpHQqAGEEgCpQYqIZGQEKgXBJJAqZeaTOVICNQAAkmg1EAlJBISAvWCQBIo9VKTqRwJgRpAIAmUGqiEREJCoF4QmPQ8lIkAwSS4Aa2bYbr+RGamTiSPFDYhUG8IMDObafSNFVa011pZJz1TdrwFQpj09rJnqwuTayyaGW/CKVxCoO4RYGuMoM3RG/VrGmUNWW2AkJuG0t8/aMJkvIdJ1wY8iYqEQC0gwD49wdoPM9ObdY52ra4ny8WGghDp6+sfsWVALVRToiEhMJ0QoB1xpEstr5/LR6BIvKKhJLvJdGLfRGstIkA7GqzhhpSLQGFDtBrGoBb5JtGUEKiIAO2ouMFgxfdT7ZmLQJnqQqb8EwIJgXwQSAIlH5xTLgmBGYFAEigzoppTIRMC+SCQ22fjfIqTckkI1C4CA8WpV9aLa15JPW49XNMaylhT33jnvywLmdEq65HDvdGhPzDMWMZnD5cDSSmLGkOAumeW+A8OFsKRSxzdUmMEXidyalJDMaz1J56Wo2nHZaKcRuvS3qYlF9/jr69qJvqbcxSVA8pzQJnDJNDabFOk31hDhFMQjlh+Q5neGDr51BMC8EZXXwj/dz+nIgyGlfMGdVZ2GWPXQYFzbHbjR6tP0uLHx0P46s8K4XIPTbDkEBp9qp0fdhTC//pRIfQqLCFMmOjmqKT/Fx7nONFMnNLt8J3FIR4//RktfCaZEWGz/t/YF8L3DhTC6SuF8J8fbgyXe+PMxvK0e0Trf/p/DeFsVzHPYWrSzUxAYGCwYB0emkqW3+qp7DWpoXT2hPC/ny+E7sGGsGVJCA+ujc0X7eNsN0eHFsKFq9w3hJ7+IWkEIVzSc3d/COd1Pa6GjaLip5IgoHrlMa9Zh6fLn2fCzmuJAutybyEsmDUU5s0qmObTKSG2cHYM2630cXPUm1wQXS2NQxJyhbBozpDuYw9z/qqu4hC0pY9swj+EKxIqjbqe7y6E2UJ50WzR11cIRzvJP2pY0E6cuU0xHcso/alLBLKdC8IE/qxHV5MC5fCFgnrxQvjApsHwwush3LsmhKt9Q+Gf9jSEPWcLatx6lkBAveqWGvn4qyE8/1pD4FwjrT20n1cWQmi/4jyndD6+LQ5LHpY2oTPSrZH/S0dDmC3BcFlC5iNbQrhxwWD47z9pDH/wYJyR+MNDWjuhBn/PqsHw+ccaw/r5EgI6VP1j2wfCyjbPJTKIkgg/OFIIb1leCA9rrHzwfCHMQriI1vduGArti6I2RbhDF0Ig73etHwqbFtenga6Ezsy7Q2hQz8xq1UX2EzTrgn7x2qvOpKHAG460LQTrU9SvTPeupaYEigP/iBrj/TcOhXULQnhCDfT1y0PhZGdD+Ma+Qviv99PQC+EvfxLCqrmFcLyzEL77SkN4aMNgWKcG+829DSMMXt4THD3fEA6eGwrLWwfD/3mxED57bwgPd4SwcfFQuG35UNhzrhC+trsQ/sNthfDUCWwxUfgcvigB1hxCj4TEo8cKYfP2ofDu9sEwXxqHO+iGgRBez5+Mwu7ZE4Vws+i5f20Iu88MhYclmH5tXmSsMxKW330lhNXzQ1giTWf6s5Ejka6OAMLk4QMhvHKu0QTKoHijU5rwXnUkzQdix4gmi7thrnhKHcvyVj1Mc4lSUzYUteFwRvaFF06HsHWZJLjEHUOCnWrgPzleCBsXhbBdjX/LkqHw9rXSHFQh2CN6pEC+dbV6+huGwkMbB0NTplSMStZIq1izYCi8eHIodEiw9A1oOKO8BjWkunNlCBsU7/alQ6FHQ5cjF6XhqCehmTPFGSEBXbj5zUPhwXVDYf0NlYcpMBHhSfuGlhC2KNz6RYNGd480KX4Mvb78TCF0avjzoS2DoU3DrGnOQxGc9HcEAhjpr+hQzbMa8tKBnNaV4fhl+V3UkBkNHH9+F8R3aC76P+1dTWkoGFgRHA0aj/zjvkENFwR891CYr0Yn80fgGGUEDK6HI5XVcHk27YB7efVKWGQdsmWuNIxl6gX2aejzs9cL4d9o6IPdBZWTiiQGwkCjKt2ToJ6Vfr8EC7aWWUWUyAvVdLQvSLZmSWkpun3FYQhGL4RQG5JWxRvSYIhzUoJw92kJNA2l+CqUXH0hwDDmA1uGwrs2xP1/4C+EydkrDdaRPHBTtLVRauxyc8TgmX5w2oJRUwLlilTCn2qo8K82DoR3ttNwByUAQvjnvY3h7TcNhkdfbQhP6ceQ5+VThbBwVgiLNWRolBD44eGCGmohfEfDH9coqBUaMMbTzWrEj2jYwZDkU3crjmqvWf5PKF5fvwSNtKA2GWZXtw2FBU1D4TH5z5XRdt/ZhnDXykHlgACKQiiKoFKd885+SpMrjqszSLyXMJEfAulf3zwYdor+r+8phGXzoLsUj7jJTX8E6HToKOjMcNj24Yc28dT8lsGwUHw7xwwnvIUz6sPVlEDBcMWw5s4Vwb660IBvWVoIr54fClv1tecTd0jAyPjaJkHyDgkYKuhGDWc+tnUovHyyITwvtfKulQPholRIb8xeTYuloUjZCD9/UxRCs1XRH1bDfvywbCMSNAimT9ym+QEytP6Xu6QpHWtU5cu+oqHQzRq60It8QHHnK+9yt1k0D0jItWlI9H71PPN03a4h29JWCS6V4Ya5IdyhMmF3ed86aUvz1HNpvIxN7qy+SG2QrYVwySUEpjsCuWwB2adxRVeXvrlewzFPg3Fnq+wPDHdw+HXJTzvfyeaB2hi/0LRIYjQ1RE2DYUuPtAw0E4QQjZ/Pvjh5mX/Hec1PebIQPn2n7CUrhuzLTrfS5hMwgoyhyTxpKDjsIJ3yZyjF16BWCRbyg7ZZEkTln3n5tNwjaQXJ0IBmw/ANN1u9EPMOmNTk71v13sfYfFKepTBJoBhcdfsHdrgoG8rn/qUx/MKWgfB2GWGdxyda6LlzZ2nXtvIuc6KpvDnha0pDaZE0aFIvjlBwN+wnD7Vz++KChhiDRE0EpWGehBACAJc9wJ0GjqH3nzS8uEdaAsMLPhMzFGJuSYu0B6QOzw3FVBEefO5118hL/UfDqFSNpOcWe3uvsE3EkbN09b4tE5HyNUqjsbIWw1jg9KeuEWhRB/jO9YPhJmm02Fjq0dWUhvJmAIyQYfyKxsCEMsa0PiHtzcgvpZkQqISAWNAmVHJFmFinUqVMSRpKJYRz8qMj4AuRfUkpGshyyjplkxAYRgDZMRM6sowiPlz2dJMQSAgkBKpCIAmUqmBLkRICCYFKCOQiUAq55FKpeMkvIZAQyBOB3Jp69stLngVMeSUE6gkB2lEtd9C5CBTOZG3GMppcQiAhMCkEaEe1/Mk5F4HCJI6mpiYd+JyEyqS4KUWe0Qg0qGOmHdWytp/LxDY+3TbZEuBmrQzWkaSabeaT0GY0h6TCJwTGgQDtpyBhMkvTxWlHPNeqy2Vimxc+ChGOJUWgMO81uYRAQuBaCBRkNGky7T7O8L5W+Kl8n6tA8YK6YPHndE0IJATGQqD2BYlTn8uQxzPza1TZalhvc0LTNSGQEJgQAjkZZSdEUwqcEEgITFMEkkCZphWXyE4I1CICSaDUYq0kmhIC0xSBJFCmacUlshMCtYhAEii1WCuJpoTANEUgCZRpWnGJ7IRALSKQBEot1kqiKSEwTRFIAmWaVlwiOyFQiwgkgVKLtZJoSghMUwSSQJmmFZfITgjUIgJJoNRirSSaEgLTFIEkUKZpxSWyEwK1iEASKLVYK4mmhMA0RSAJlGlacYnshEAtIpAESi3WSqIpITBNEUgCZZpWXCI7IVCLCCSBUou1kmhKCExTBJJAmaYVl8hOCNQiAkmg1GKtJJoSAtMUgSnZU3aaYlU12YODg+Hq1avh7Nmz4cqVK9rxf6jqtGZqRM6imT17dli8eHFonduqM54aZyoUNV3uJFByqJ7e3t7w5JNPhq985Svh8OHDAQGT3MQQQKAsW7YsfPSjHw2/+Iu/GBYsWDCxBFLoXBBIAiUHmLu7u8PTTz8dnnrqqXD58uUccqzPLI4cedW0lAceeCAJlBqt4iRQcqiYxsbGsH79+rB06dLQ2dkZBgYGcsi1vrJAQ2ltnRe2b98e2tra6qtwdVSaKTnoq47wG1dR+vr6AloK2gnX5KpDoKWlxewnrfNaw6xZs6pLJMV6UxFIAuVNhTcmjhF2cGAw9Pb16hhWne2cjLITRh0NhYPC+aHxNTSkD5QTBjGHCEmg5AByyiIhMFMQSGJ+ptR0KmdCIAcEkkDJAeSURUJgpiCQBMpMqelUzoRADggkgZIDyCmLhMBMQSAJlJlS06mcCYEcEEgCJQeQUxYJgZmCQBIoM6WmUzkTAjkgkARKDiCnLBICMwWBJFBmSk2nciYEckAgCZQcQE5ZJARmCgJJoMyUmk7lTAjkgEASKDmAnLJICMwUBP4/GWcO5Hdo3+cAAAAASUVORK5CYII=
iVBORw0KGgoAAAANSUhEUgAAARQAAAICCAYAAAAOFzJiAAABQmlDQ1BJQ0MgUHJvZmlsZQAAKJFjYGASSCwoyGFhYGDIzSspCnJ3UoiIjFJgf8rAwiDMIMigzqCWmFxc4BgQ4ANUwgCjUcG3awyMIPqyLsis5F2FhyZ8Tg8tsOCzmfp8rSimehTAlZJanAyk/wBxUnJBUQkDA2MCkK1cXlIAYrcA2SJFQEcB2TNA7HQIew2InQRhHwCrCQlyBrKvANkCyRmJKUD2EyBbJwlJPB2JDbUXBDgCfIxMLI08CDiVdFCSWlECop3zCyqLMtMzShQcgSGUquCZl6yno2BkYGTIwAAKb4jqzzfA4cgoxoEQy4phYDDTZGBgUkWIpUUwMOwrAnpZFyGmpsTAwJ3KwLDndkFiUSLcAYzfWIrTjI0gbO7tDAys0/7//xzOwMAONPPv9f//f2/////vMgYG5lsMDAe+AQCHRV0I/KGkpQAAAFZlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA5KGAAcAAAASAAAARKACAAQAAAABAAABFKADAAQAAAABAAACAgAAAABBU0NJSQAAAFNjcmVlbnNob3QfPE58AAAB1mlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNi4wLjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyI+CiAgICAgICAgIDxleGlmOlBpeGVsWURpbWVuc2lvbj41MTQ8L2V4aWY6UGl4ZWxZRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+Mjc2PC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6VXNlckNvbW1lbnQ+U2NyZWVuc2hvdDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+Ci7xUuwAAEAASURBVHgB7J0HfFzFtf9HxbIl94obRraxjTEGbNM7JPQSEgjphZT30ssn5Z+X8gIv9aW8JC895KUR0khCKqRQDITihGbTbAzGxr0XyUV1/+d77p7d2au7K2m1K8nWjL26987MOXPmzMxvzpQ7tyIlzgUXNBA0EDRQAg1UloBHYBE0EDQQNKAaCIASKkLQQNBAyTRQXTJOwuhQHj1VkL9SKivw6hMNDNRyrKgg5+V3ZbdQ8mUjnz9ZzheWz7/0NNmU7C6lUlXIX/PpWDj5wnz/OLUf5nP0/fsbTaTvSKpCshUK6/28olEkSpI78o/LG8nol0Su1PAqRNMxrLN0kviVmsbPQ+nvK0o5KXvoWShRAafUNrHqEeyU0lfD3uBYqPwISyrXYmjISyF+SemUn+YQsFCsMFBW1iX7WnhyaOSbHGaU8WvXabJ8O9JEhY9/RWKFi1KNYCfLJ1eWZP9CNEn9VJZnIX7ZWLl3paZJ5me9f27a1o8n0/ReXuNSdf5cqMxzASibt+xdR/65/ArFzNJGNF2La1TF0BhtT69lt1BQRV5MlnGdb9W0tra6trY2B5pWVla6qqoqvbdMEjfVnnLtqXZXWVHpKqsqXXtbu2tta5VEZFACTaXQVEo19caMJgP08DdaLaaYDJaW0dizf6URRFaL71v4vhiaQhyL4defacqZ19yyRAvUyY61spj6UAwNeaV++nXf8p8rq/lG16JohJSc+u0hl2tpn8oOKF0SVxp6uwDFnoY9bseOHXLf7saOGetGjhyZAw7Nzc3uwIEDjuvQ2jo3pK5Wn3ft2uUaGhrc8OHDhW6Mq64epGDjpw3wtAnwNAltdXW1GzJkiB/czftCxd5NVl2IXkxqyTTJvoVFKIamMMdShyZL2LlvcozC0hVDU5hj74T2FqCUdJWnWNW0iGWye/du97e//c0tW7ZM2cw96ih34UUXudohtQowQ4cNdVu3bnWLFy92zz33nHvta1/rJk2a7JYvX+7+/Oc/u917drtxY8e5iy++2B0ltDVVNWq9tLS2uJaWFof1s3r1avf440+4mTNnuNNOO61YcYWuY+/WA2adkhaTWjJNsm9hAYqhKcyx1KHJEib7+ml3HsOPHd0XQ9ORy6Hr0y8AhWHI0scec7/61a/cKaec4gYNGuR+dfPNbuSoUW7EiBHulltucR/+8IcVcG677Tb31FNPuRe96EVucE2N+81vfuM2bdrkTj31VAUXAGf69OnKA6Dat3efe/KpJxWIsG6Iu3///m4BCr0SMwHZypS9i6pGFKMj0Jg/sUpJU2p++WTrD+mUToaoNOJ5hX9wpdJASZeN/ebTVQGhYb6kWuZLGOrMnDnTHXnkkWpR4D9u3Dg3SoClrq7OLVq0yL31rW/VoRAg9Oyzz7mnn37aHX300W7Pnj1u/vz5CjSkTfiaNavdZz/3WfeD//s/V3/EEe5isXj27dvnzj//xV0VLz3eBg6oiPaLk0eLynHfbPykStx1mqxejaZzfj5NJFd5aLJ5Nt10nk4hGl/u6L5zfj5NvrxaHONmz1lZev+uGBl6i6ZYbZTUQrHC6o4w0DA5NXPWLDdnzhz3yU9+Up+xQBYcf7wbNmy4Wie1tbVqrQwdOlStDyZnd+zc4bZs2aKWzbx589RCuUhA493vfreKgCWzceNG19TU5L717W+7N7/5zW7GjBluwoTDuiRiNH1HVKSkKPPnMGmSr1Q0fqqF0vHDfJquyl0MDdqJXGn048vg58dSMZ36YT5NUl6zk9HZ5ghNYYmzKfp3Po1N8h840CTzclWZeTnzZ5jNcDslHWU7iwYyEctCAxb4IG+ej/jU57b2Nq37PPvpQGdzIHZFJhYX4gsQvqx2b3m153JeSwoovqBZhXCHi4o9649f9ESDZyizcuVK9/GPf1wL5uc//7n73e9/78444wy3atUqd+GFF7rBgwdDpI4VnmHDhmnhXHvttRp+5513uj/84Q86sTtKJnSvuPwKd+mll8okbot7wxte737wgx+4n/3sZ64uZ0I2K1FcUquokX9ULNmK7FXThBn7iCsVw18Ryj5FPP0w00ZU8ahUkcvS8Jz7lJ/G9N2RJsuByumn030akxDK/pjXuH4iebO+vvy5YTxFZWj+0TVbKk4XEvbu3ev+8Y9/uPHjxrsTTzpRGz7gAJDQmWFBb9m8xR1oOuCGSP2dMmWqmz1ntjvssIlSzwdn4jfJcHzLtq264JAtkyhNygkg4ofVTjj3I2U6oK5uqKuoimqTSZord+6TxSnXtWyAYor3KymZyPpnn1ASKzcoDguEFRjAg2HLnt17FCRe9KIXi38W4bFYJk2a5GbPni1DmzXu+eeflyHQs27s2LE6PBJmstLDLxrV1dTUuBNPPFEK8jApAH+kl5Uoe5eVLd9d1IQIlbtM44+e1S99mwWgyNfSiK72FEW2p1x++TgUpkknr5d8HOLpdJ8mJkNO6WZT7bu8ZutbNq8AatafHJjec3MT95fntOWwd99+t2vXTq2nGzZscB/72Me0bi1YuEAsj2rX3NLs7r//fvd76RAfk7lBhuM46jfD9+OOO8696lWvcsccM1/qaq1aJiufe1bn91iUYI7Pd1g09UfUuzlHzdFOFDmYD2T4Pm3aNFdTUaOWitHky4+Fl/NaFkDJ4KUoMFuQUTY0LOYPgJx//vkKDD/60Y80Yn19vbvgggsE0ae4j0/5uBshS8I4gIFhC5O1KPNlL3uZ++lPf+q++MUvujGyZIy1wtVPh2Xil7/85e54GULVDBLlwygmg3rxR5xfIBrXqmACDfEL8ovREBf+paRRGbqZjtKkZeEe15lsfhwl6ISmM35JOuiMRmUoJq9CY86AIVMOEdMOddXic2X4whwfXNbIauEnr/ukO/nkk92xxx6r9Xb8+PEaTtz9Ajif//zn3c6dO3VOj1VHTVNkWLp0qbv77ru18/vOd74jgDJF6TZv3qxh1H+sHt/RuZLWCSeeoPOLhLEqSifa2NiobWFQ5aAMSZJeM4FlvikpoFhlyDTINKJnniUzeu/16NBgvgESID3ojN8QsUCGykRspWxUGyHzKGpVCN3EiRPdl7/8ZbVgQO6zzjrLLVy40LVJgdfI81ABnuqq6px06BkY+nBlzGkymLymY19O8+NKX6txPblzw4mUjuMHqHcy13wyQB4HYWOZj6YY2eJ5tzTsWlAGixS7FqQpkX6Kzmu67KD3XaZ0EuTTvUvpeQ32OTF8oXNi39M//nGvWsKzZO7Pd/Bji8P73vM+d6D5gA6HvvrVrypIsE/qyiuvdB+Xek79Hi8LDubQHQDBMAmQ8B0d7gsvvKBzgVZutBlolixZ4hZJ/Z+A5Z0GzXg9iefZ513q+5ICihWOjdLJoF/JImMz3UDTYdAQj0kqNrJhEuLidNqoWQ2SuFgnOPihbH5JaSlNOh0sG6PJGOMSJgmpvx/m81L5IjiJ6NP8MkReWJZTxC2Kk+sbPVm1kBgxGbJ2QjaFctAkwZ+lk9FPVoT0nSd32sdoosfoyciyYWn/PsxrJLnIkSNDVCO1niC0HyZRm2Sydf3G9WqdACLXXXedY4jDlXk5rBa/nlJ2/KOju/DiC91vf/tb9+CDD7rJkyfrUJwFhDvuuMMtWLBALZcasTyoa/pPrgz9eebqO5s7wS9Kj9xk3QGZg/Qd/LQM0/lB+7kUfuzS3pcUUEw0q5C5yo6AJBPHa8j45aMpFGY0GqeL/LpDY4VQiAbJk51PFY+RpSmko1yq0tIUkjs3Xf8pK4Pvmy29XN/oKUvTl3mNADTbwUVSZctIn706xPCmYW+D+8QnPqFzeZdffrnO87GAwIRrsoOfpCQNGUvmvPPOU8v7gQcecM8884w7++xz3Lx5R8tvnlrYxMNBA4hgfbM9Iu7oDJkb5MqEL/90+CX0c+fOVcAyXsZPr15+4jzL9VwWQOm2sFKaqiBF6O5Rt6FgMUu7uoTWHe5UMgOV7tCFuP1RA90rTYbGzF0wBGEBACsYy5gJVvZG8Rs9enTGquaeRu03bEBg+PARapWwEnTMMcfonAsLD348LBCGQywaAEQsUPiOV0lmzTpSAWWHTAbTVrCYkI85Rmj6i+u1d3nonVi1sV6Kl/hsBcbW61GMrxzQmILFKTJLgaUftUDgRW/R0tKaXlKLzEUDF1OysMnQ+Twt3C9c88tCCRUx7pCpO/7Q9wca5DgY5U6SuTOd9iyv1C0aNkCAVcLk65NPPql1mFUarI7DDz9cJ0lvvfVWV19fr1sc4nUJPtu2bdNXSgAMgCMpzj6ZyN2wYb3OIVobIQc44gsbcVk9YMmwYhnxY4iUDSNm3MXTjIeX6rlXAAUFARosc/EDBEB0lIFjxvqRRx5R02369OkKOqAwAKSrMoIijFlxlXLPGBVUhw9Lxffcc4+ahGeeeab6YxqC3ugY8zCii8alZiqiYO4xNYnfucLzAYKyD38OEg3Y/AKlCchb/UgSn0lZ3mz3G3jUuKMhh85tyOYy3nbHn3qZ5IwP8fPVM9Kgs+uO68qmNuOXL10LL9W1rLaSFZ6h7+OPP67v42A2/ud//qe+xNfe2u42bdzkbrzxRl3WfcU1r5A3gpt08gsl89bxaFkGflp2vdL4a2Xdnh21dfK2MUD061//WjYMDZEds1v1jWMKlTeWr776al2+W79+vdJgGq5ft97VDK5RE/bA/gNqvo4aPUrHob5l5CtXK55UlqiLyF8BLa8+bdJ9Z7CUFJ7kl8Tb9ysnjZ/XQukUCkPWpPAkPz9fSfed00QxkNt3Ppj4ebI4WNCynUwe/ZgWivxRfeBFVN9ZOkZlfHg2Gj8+9zR44hmNH56PRunSMvjxC/nH45X6uayAYspZuvQx993vftfdddddOvbDfGStHcBoaWuRJbE1umGHGfS169YqmDBDzmw4Y9hrrrnGffozn9YlYp4/8IEP6EYfloexdFjDnz59uowzZ+lGIvjs2rHLfe/739NVI8abF15wobvhhhvcpZddqlYMk2T0GADOt77xTb1PQnH6jAq1dKxSquHjlUPkH1WW5DAvslQYXESTe6cBWuXiXDqj8flFXIyDNaBoSjLiYzGyMphPNh188tP4eY3TGK+IA3+z6WTvolhJKWT5xe8iGp+f+WRj4pPENYoZyR3pJEsT3VkYV9+Zv2k0KSwfjZ9fi2P87Nnnx71PY2GFaKKwjtIVojG+5bjmrk+VPIWo8FgOZoLK3sdhOEJjxsTDUljyz3+qtcFRBKy3Mzxi+fiySy5RsMCKwTq56KKLZY5lUGbn4ZDaIe7ss86WlwKPVRD661//qpNUvCQ4uHawe+ihh9zVV12tE2c7ZTILy+clL3mJDrXYDs04lAmyZjniIBdMIrlRR/aOikqPlPUxdeHfMYx4EY3PxWjwKzUN/Dq6fHJH/t2jMamT9JA/r1FO4zTl0E8xeTWNRdaGPdk1KiN7il+TaYgFLOVCk9EWS2P08Sv8klw+/6S4pfMrM6BEWWV7PEOcH8kuwMsuu0x3sgIujE8b9zbqlmOW59jlykYdhhdYDvfed58Cz6DBg9Syuf++f7hGOYSpTmipjqzr337H7TIHMkjBiqEUALFFLBbmX9i9+K+H/qU7FgEPgAygmjp1qhszdoy+2Ux8ZMl1kdxRY4sqQBZw4sUnzyJM1OP4YVK5GSqp8/3xIKwAjZJ1nyaSIUox+ptfBs1bRoau0SBxMXkthqY4/STr28+rryOLbbrytcA95Rcv16hOWMx4GZk/12xYcTQRr6gOwcvnF4VFf7P+5ptEY2HlvpZ1yGPC837DCFk+4/gBhjHMntOIsVL4MaSpr6/XpTgmSnnpb8KECWqVvP/971cLg/d2hskk7hte/wY3TY4iYNmGeZFzzznX3bX4Lo1z/XXXKz+sGZb5vvGNbzhm4K+44gp3wqITtIKwuoQMWEHM6bzqla/SnbUmK4VPJcpe0xVLQC63YhiFFHU6zK+stDz887lkmohXREN1j+jtrvs0+WVQWYW95ZM0o3Ty0xAnWYZiaEqdV+NHLnJdcl5F5txoHZ6S8ppbxh1I1MPXKR7F0US8kSHuOvrkxkiiyY1Rvqeyr/JYY8iXBWbAcTohJcpj5YYT2VYsX+EuufQSBRVWhm666Sb3ute9ToECELLeH2DQ1RrOmBUg0a31MpTC+sk4SkAEYTnZ0sGCoUYJLrnKhHX8eKWAl+UlKSxKy2JET/7fwjTETKom+fjBLV9FLSVNLuD4+clqI9eXp/6e1/y6y5+rfFqN8tu90is1DfzyOZPb2ku+eKXyLzugFBbUsls4VtdDi+HXOQ0xzEXNvnMai5+9FkOTpe54Vwy//kzTMYdZn9LJbQ0rfy9eurSy8ifd9VY6UdqW7yRJSulX0jkUVMQvySX7M4zoSGNx7RrnF9HkhkZPEb94fJ6LoYnosulkbYhkuS3dKC17smsxNBFtVgLjxbUzfklUndF0LIvO0ykVTS/llSGE/MeKijeySGORjnxN+/eRbZj18WmSNE7MuH8hGotrV0upeBrj0DvXkgJKtsGJEmVCK15oVoDpEM1hDk1EAXEm9xmaND8CIppswWshp2kIM2qTIYcmHa8rNNBFtS8ab/v5IZ0Osnsy5OQhLVExNGkJuKjrTAaLx7g9ozvxtPskGbI0GtEeC9L4/Pp7Xk1WvUoZoRub18iEUUZe+SXVoUgxvl5zaUxx8Iz+mU9W//hbDc2pP2kakwHKHNm8OqRhyiWdSlruHBr1s1wQ0juupEMeVmd8JXUlC2S5XDQUSH7TNlk6nyZbHOk7uSTx09A8afn8/BS7Q0NcdNQZja9/oyHNvDJQ6fKUWV6aiGGyHvLpoAw0vtyW1871gx471jaaZZJ/Qd0VQQM/35nc+BWUQcJN6q7T5OaJ8uwNVzYLJZ/wEUJnQzMNJevV4a4QTTzMiLWAMG89ZyrtOo1Q0Eg8HnlvY2kRT9NL8M/wyBcW889JPxbm8/Lj2X1BGYSXxcvw6YLceUE1n2wwzxeWz78TGl9u/z5/Oh3BxOoDSSW5QnUoKT5+WrdiebJ04vXO5I77+7xVBs8DGuPneefcRjTGPSeo7A8lBRRfWkPESFlZFfhV2BQZz3oSTS6/LGIbP2iMH3Lg31Ma5IrqBtw6SpnJbw7o+HmVGDk9QzYsqhb2bNc0xxLSRFL7/L37POkUTZOHX9/lNVNCKoLVh0iebB3K3qGbrH78OmT+2VqQvbMwUtN6ktFDxCsbM3vXgSYjaoIMOWFZaTPeKnNhubNxy3tX0n0oNGgtBJHZerHoOerlowavKs/kymhorxZiV4uEqnKLwksnHcnSyaHxegpLx67EK0RjYXY1vlyjfEQyKT9Jx/iarBbHBLdn8pGNG1UCozHe6C4bx0tHmBmfrtLA01zEM3rS+zzpWHyull5G7kI06ULqQNOJ3Jae5SmSsxR5jQRSeURua8QZracTpIwjZ3qPnjRY6aCM6LP1wWiIK/f6P/LTus8t72zg9D66RB7mmX6S8FT0fkcHGj8mOJXVDfzS/OUa+Uf8cuXGD5/ecSUFFMug6i+N0ijX/MkX5UNPYf6qfMkr+0L4tbayP0QjqQb4PIFtgFO6jBJRaOSMX/pRLyaDpZMJU21nZcj4y43R4Gd0WhlV7mwF1/B06uQt0/MJA8urXTUsLaj5KQ3KSMti/sY3oomILMyuRkNcc8oPfSekQxxfBouUoSFCd+ROl2u3aDrJq9UBy6PK5tEgormM3F3Kq1HJNS13BC7pchIe+qzBUZ30KFSdSWWBaGmc0ejIz36oqA7LubOyB4pdUMY7w9N0l/GQG49RJt9eeKXQVEobYI8V766RtqafjoN8kf4ihdizXdM57SiLl0Ypb0s6KWsVwxcw3WZ8r+w9BaEg0qoFkg3oeMeHwHgjuEp+WsixKAXTicW1x67QxOP4z/49POPPlo5/jceJP/tx7T4eJ/5s8fxrPE782Y+b774QTaEw4xePE3+2eP41Hif+7Me1+3ic+LPF42phXAEZv876YWm8IlaGJn4PLWcZ84VK3SipsfP/6QAwsagGqDHvzKOdF0RbMIAksEtyJ4FZhnPpbsoOKPlEpTBAdc45Sfm7WvMRiD+Wiik1CVQKkBYdpBXPikwrIKzSvYH625NfBSnkqJixaywGlMYvit01mohOKn86XZ7NWSUtzM9iR9eu0cTljiQvnE6chvSQG9e1vGb1kxsfDl2Tm5hZZzT4xPWX7cWz8bt6V0z99WVJSgdNefu7k6IIjnB+zyBtB91pA92Jm5hwFz3LNinbWfrdBRP40QsAQPQKvqnYWVrFhlshRBWR3gxO2Yoe+fPML2oKxMAZTfSU/RtRF6DJ9CS5/LLp5vpnG0khGZJoCsgQy0s2P92liSjz6ichr6RQjrwmlYdvnWiyXfxTEEyiDCRyypZVYnCnYAIVna8dkJ3MpW99Sw4oVN3ol1uJyaaF6ecJBBy6apn4KoIGE5NyM34WbgBg/vEeIetvFMIjXamzYdylHQgi4ZFPZGtYkBdLefjPxOmURmIk0kiamXaW4ROlCkWcJgqJ5nEsLPeaK3cUP80vk7esb0SbS2P8iIW+/Gf1U/ICNAlyK49u5jUjmyeDyZIJU1k6/smVO4rNX/sZRcH6kI4vL4qpdc1cSaJLgwrAYz/i2T3B+pNw3kPTz5RmanQixxxP0qVztffg/EDLT8dS8mOV777kgJLWZbqHzhXcFMmReW3plwL9GCgXRbWIFcJ9PocieYnQ0iIeCqTAcPpXKl28R7D0NZL8Qfn5aJRfOtz4RXSEwDty2St3cIxcLg1+MRqJGu81MzR6E/HTW6GOwjrSaGqSV5zxy6UxmSK5NaLGje6MJsc/zS/SakxupY1kS6bBN0ZTorxGOihFXiMN8Te6i3Ki5dpZHZJw5v2og/lqKDo1a5rvTPF2fWuzDO+bmvV8Wql0knAEJrz42irhykuAwkAnkij/X9oPaRAfuc1pfhLqvoWX+1rSVR5fWLLoF1YmLK3IJOukTVZ4tm3fJocqbdHjIfn2az6ngEPBiPKitGKpqaI7ymCqT5TPo4kaWpS60mTY+yFp6bwwX97cws5EiqLIo1bgmJZKT0O6iRrylBOXrfs0pZe7GP0UkBstGPCmrBbkWlUdStarD1aupECHmNcJaw4Oa2zcpycRNjbu1TmPqXKgNcDRsKdRDraeKYsLVQouq55fLYdNj9ezewAZvyRM3nhaKrXE5ePqcqy70PhUEjtB7jiPcj2X1EKhmKKq69XVtOTZImQuJBfb29Mm5CY5GOmf/3xIv9sKYDDPYstxVFjf8Qwdvn6In47vD60vmx/WGU2ULmllqaDJ0mX9LZ2kMKPhGnHL0lkY9EnpdIfGl4EUkvjF0+kpTZyf5ac7chdD02W5pb5YHQJXNC3tyXPrD/zMRbqzp/RV6hzmRNYGi4XLI+lw0v3qNS/o1y/3NDTKecbr3D6xVugw98uH0zfIUaZ7xTrh0HXaw9atW90O+XTp6tVr9PTB+Kc0/FSsPFNt2fpDOHnCJcodBZX9b0ktFDJiY1WUmkFYucfxjKkYt0543rZth5x8/6icqDZSPoDO5x35jAFHM8p5JbIGz8n05kyhnHkiJ5yot6blpYOnL4NWJmGG0vVeriZfPJ75S0QiwSpyXp6URnyJm8MvLQN08bSMRnnGZLW0SkWjAiN7UjpdlNv0YHIfnHmVckgXoZVTujDRQqb8LK+EaX7TRPF7K16sBI6Uzu0aI87Go0mON6USHDVntqzKVLldO3fp/N8zK55xu+SA9fnzjpHTCjfrB9Y3yJXw4cOH6emEJ564SD/TYXJRy7NpRXAmLUmtocpqkUQFy82r0ebmOytjOe5KCih+YzBhLTNJYRYHK2T16ucFmTe6dXIy/cqVq2SJmMOSIrAYLt+KfelLX6KFD03UVLPAgF++dHx/GlcEbVDkp4lC038pKKlcxsen8+8zhSee6fqboSEsiT5Dk66lvo7iNGlpMjowfrLun8lTPhqjzdCIR+beky0uN3QWz7/PyC2ecZq4DEafoen1vIp+tAiz4EFe4nLn5E8eTG78cbnPUS3KNvAojv0lrxMnTnCz58xyq557Xs42fsQdd9x8N1xOIqSOb67a4l784vO0o8QSYZGB4RA0c+S41GVykuAOOWSdEwnZKpE7jNBakmkDubJFeTU5TGbLq/mX81pSQPEba25GpUDSuYi+JQKiZouDvSWc87px42Y5/nGofL5xupz/WiMK5xMGTu+tQqbZ6IXjHOPO0umqP/HiNJmCsMYmNdIaioX5dBZmaSq/btIov0I0XpilU2oZipG7GJqe5FU7E2khHcrB00+HsLTCOvgLjbkOYRYgVz8sQqKoUXtROtzuF+uE84vPOvtM+UDYU26FWCUnnLBQThwcrFYFn3057LDomNPI1pG5GZlDbJED0xnK6+mDadijpRioROBgEGHXKHnLTVJ9zI3ZQdySeZQUULoqVTRuzMYGhafIB6XbF7XLZzAe1xPwjz56bvSxLonWAUykoePsq4L6wLMBgHl04VqQJlbh8sWlwiWF5fNHrHxh+fwL0RTKZiF++egK0eQLy+dfSO6iaAT+zUKNy1+IH3GtjIw+a9tlOVmcrI/dUeckbT0zVO7kDZFCjtWd5XKMKR9EPyD3s+VbUkOG1Loj6uvdePnW1NMrluu5ykOH1rlBNdIMpQ7t3LVbvoG8UleFxo0bo6ASTwOZARe0QDvKtoFIPuKjh6zL+mf9ynfXS4CSzRR3WB46oepZKShm8uRJ+vW1TZs2dboTkILnl+N8PeYE8JCVISeoAA2FRtFFLpZWTpjP0afx/bnPF5brH9UH87NrYV65jakQDXyiPHWNhviF+Jl+iOe7rtGUN6+ebCQUqy+J4OGR+LmJdEadi+b0mAskh1k7OxsbvpPkw+eD5aB0wISPz42R70eh79EjR7k6AZGhwwCSQW7UyBHyjs4gt27tOjdNPi06Tr7GwMfoiKcJZNlmrBT1kjSqdEoAKTpzXYnTGY+uhZdx671lIltCVoDMmbCPhHX0jCOakKB0/LFaOgBGOnJFRZVYL9H248iLtLLppKPJpaO/yZAUluXFXcRPe7O0XFmaXL4RzyxNxMf+Wly7+v7JNMXw6880kd66m1f0ZTS5uutuXrNlKJIIK+qYuYhXuvJ1sQ4BJvsPHBA+SXBinONXlSLrGQmiz9R3VneGjxgugDI2PXeYldEj0lu0wWHrABXTBb7Llx/8e8OVBVBQnZmTflWwzFKgAAofOe9eoVAhUGS1rvrkTcdLP65EkwF/X7b4k0/n0/j+0X0uFwvvKk0ude6T8Yqnkxsr98mnyacfP078vqty+3RdpcmVNPfJ5+eXRW6s3CefplBeffl8DvjjDGD8MF8GPx2718nUbtZfZIw7bSeCHZn20knD1+FOug0AKOTBl9vPq5+W5dX3K8e9zfWUkHeu0nJwVh7IPpnjVWyW0gCIrjri8qYliow7Px3ukwpPabyI3q0GFaLJGxYXJP0cdYK5ukiKGpchqshJMbN+XaXx4/n3Eadk2bzOO5tgJ3f9Pq+SeSu/SA9R3lVuTzHebTrHSTqK/AbJFyy7V3+TeGXbA594qZJ20VlrSNEGpN2QvoGEL3cx5ddJ8XYruCwWSlclwHRkVpvZ7c4sFbVMUKTsRzFFdjWdYuORDr0XldF6kGJ5BbpDTwPdqb8GFNG8XLIuOqtj2qGmwYQhT3dcr7UZaTA+wHVHxo5xhZUxs8ZIJMNmwnx/ZSA0diZKfAethssf9qQwVrR5FeVnjT19Ja6fjj7Hw5JoxE9QI1luwjznq8pCLL9etEgOL20L00L10jJ/rp3xy5uO0CbpFX7F0EgBZYYAyIXrTLZEmpheI07R33z8els/JrdfJ+OydQhL68f8qRPMgUQ7uvPPqdD8o+Vf2dyZVoZBQvScVFpZrcXbACEmg96no+arC+S1N1yfWijxDIL4vJ9gDReFsdeku2gc5xuegwZ6QwMGLvlebLVhl8oi7TtTzwWy6dJo8nFYKVUbgE9vuH4FKL2R4ZDGwNWANapMQ05bGwNBI5b3cufVrK5yp3NI8M9XKPgXCsuX+VLTdJdfMXIXQ0P+uytbZzTd5ZcU34AlX/kE/+5roOwWCgWZr+DyhVnhJ9H1Jg3qTJKh+2oOFP1JA1a/kGmglK+f53KWRdktFAqsu5kpppB7g6ZQPgqF5SvAQjT5wvL5k0a+sHz+hWjyyVwOmnzy5fMvJEM+Gvz9sHz1xY/j6yCffzGyFKIpFFZqGfz8leq+pBaKL1QhIMkXls8fvoXC/HT9+96i6U35/PyV4r63dNRb6RTSST4Z8vn3ZrkWI0MxNIX0U4qwsgFKKYQLPIIGggYOLg2UfchzcKkjSBs0EDTQEw0EQOmJ9gJt0EDQQI4GAqDkqCM8BA0EDfREAwFQeqK9QBs0EDSQo4EAKDnqCA9BA0EDPdFAAJSeaC/QBg0EDeRoIABKjjrCQ9BA0EBPNBAApSfaC7RBA0EDORoIgJKjjvAQNBA00BMNBEDpifYCbdBA0ECOBgKg5KgjPAQNBA30RAMBUHqivUAbNBA0kKOBACg56ggPQQNBAz3RQO5XgnrCqY9oeYWbs2j37tvrWuU7KTi+yFYjp+PzuQ2+EWuOsz75ngo/4tbW1bqaQfINZT7MLudl9LZDnqamJv1GkckzWD5d6cvcHZnQhbli8wMPZNq3d5/qpVo+11AneipWJpOnTb5s4JeR+XPlq5Hwtw9X2fdm/Dg9uSdPVu4tzS1uSO0QN7hG9Bwrd2TkA16t8iUGaOrq6qLvPxVRN/yy0DwWwaMnee4r2kMCUKio3/ve9/SbyCiSr9Zfdtll8jHqw3IaAieTP/fcc+6Pf/yj49uzixYtcueff74bUjWkT/SPPCtWrHB/+ctf3L59+9zZZ5/tzjjjjKIqMRVYf/KhbfvebTGgAjg/8cQT7ve//73KMW/ePHfppZdmvjNdrKKampvcT37yE7d161b5DK2d+x4dCjVEPtk5fvx4N3/+fHfUUUe54cOGd2jsxaYLHXlqaGhwP/zhD/V65plnulNOOcUNHTo0pyNpbml2t9/+d/f444/rSfavec1r3JFHHll00qUoj6IT7yPCgx5Q6E1plAYodARjxoxzR805yo2Vzzr6HwWjIgMoN9xwg9u7d6+7+uqr3TnnnKONpZjG19MyQ55nnnlGZQdQkPW0007r9mFS9KyNexvds88+63bs2OFGy3d0Z82a5YYPl4bpWWidyUsDaJfPay5btkx09D2Rp8Zdcskl7uKLL+6MtNNwwPPGG290L7zwguSvXeSSrxl4svGZlGHDhrmTTjrJ/du//ZubO3euGzFiRE6D7zSRPBHI0wGxPCj3PXt2u1tvvdX97//+rzv++OP1g+VW9sh4++23uz/84Q/6WQzAfebMmd2Wga9ibt++3a1atUo7imnTprkjjjiiqI4iT5b6rfdBDyhUlF//+tdu27ZtaqHw7Z6mpma3+O7FbuGihVphTPs0YOLv2bPH7dq1yzU2Nma+qUKlokHx2Q4zwY2OqzY27zMfxOeX+VYQSOY50uJ7LdpLCV+NG+NNHIBk9+7dKg/3VGqGYXxOhIYQ529yEMbX5pC1ta3V8YH5t73tbW7lypXu8MMPd7/73e8UKBn6WcM1WvtUSTwPiE8crLctW7aqyU/PjkyWH0vTeEJDWEosI5MpPpQgDrognzQ07keOHKkNTFKU53Ytiy1bNru1a9e65cuXu8997nPu1FNPVZBFTpwvvz0jBzIlpalEaToaOeVOvhoaGt3111/vfvzjH6t+GWbiyAf5RU7qCZ2V7/z0uY/rj2f8Seuhhx5y73jHO5Tfq171KvfZz35WywHgtPz4vA+V+4MeUDChH3zwQS1EKumoUaO00v72t79173znO7WS+JU/XnAUPhUIi4Vx9pgxY9QUxgy3gqeSELa3ca/btTsCIioGlgBpMh6vki+6mSM+lRGeAB0NEutj/Ljxrm5oXUGLSGlleHBg/wGHCY4cjOVtXgHzfeeundooAZshQ2ol780ZQCJNAGHnzp3a4yMfPKyiEw6Y0nDgSX6Jw6ctaZRxBx0AQGOEL2nW1tYqb2tA6IY5F+SlcZq8+fSOPO973/vcscceq+W2bt06LcMHHnhALaylS5e673//+wqMU6dOTQOP07joFSuMzgDZKG/kr6utyymDeD78Z8CCOkMab37zm92kSZP84MR70qIcAX3SN/1Z+lYHqE+EoWPSIT7PlAc8GGYB8oeqO2gBhcLhR+XbsGGDVvTZs2e7o48+2t1yyy1u/fr1Ohaml6MBxB29EQ0EE/xvf/ubDoWorMy/nCPDIMxdKj4NiMr71FNPub///e9u9erVCkAAyuTJk3Ue5rzzzssMr2hc8P3HP/7h7rvvPrdmzRoFF2Sor693Z511lpr1NLokR+MlP7/85S+1EmJtvOUtb9EvJxK/obHBfe1rX1OwoiEwJHnyySdVNio6lR6A/M53vuOmT5/uXv7yl+vwhzwgy5///GcdZhGHvGGKoyOGWgAkOo07GgU6evTRR1WOF73oRTr3BCABcMjLcIJ48KNHZv4qn0N3J598sjv33HM1Cnl+xSte4b797W+77373u9oh3H333Vq2EydOVKuRT9Y+//zzmk/meMgrjnQApgsvvNBNmDBBwUwDCvwB6NATaVHepA0gJDksr1RFSkGB4ekdd9yhQ2wAFv0h38KFCx06QRbK/gc/+IFaKNQnAIY5ma9+9as6jHvlK195SAMKFeigdAIIKSm81Ac/+MGUjL1TMl+S+q//+q/Ul7/85ZQUckoabEom1VJiwWTyJ71zShpqaty4cSnpXVNSCVNSEfRZeo2UVLQUV5msTf385z9PSaVJSS+TeuSRR1Knn356Ssb0KelhUtIj6pV0pQGl/ud//iclPVJKGkZKKnrqG9/4RkomGFWG2tohKX7Sc+vziSeemJLJwZT0WCnk4V6sBE37Ix/5SGrLli2p2267TflKw1NZpMGmZBVI+QsApqQRKM8FCxakZPI09e///u8p6SlTxJdGoVdkE3BNCRAo7f3335+66KKLVE/IQzhX8jRnzhyVGdnRKfKjH/IqjS0lw5DUe97zHuWLXq+55pqUgIfqVRpNSiZbUwJGmoeXvOQlKWn4mmZG8XIDb9IRENI0kct36E46gdQFF1ygcdDxBz7wAdUrMj322GMpAaqUTN5qGaFP5KO8BNhTb3zjG1MC+j7LzD0yynxGShq85ov6gb6gpVzFMtL8UIavf/3rVT7C/vSnP2k+0D3yIhv5JAz9IQP3MkeislJ25OG4447TcOoT5UGeSQ96dHkou442bhJM90M/kB/rgolIrAImIF/60pe6E044wWEm0wP985//1F4+n/hMPj799NNOKoBaJVgD9LrMQ7AigZVD7/nJT35SVz4wYaVRam/zH//xH9q70VPdcMP3tQdDJnpWelqsAayQs84627397e9Qq4ThAL3ct771Le194d1TB08BFrWoxo4do+www1kxotek12aI9MUvftEtWbJEw08++RQn4CWTn/+uQx7mLeitsUDQpe8Y1qBbJjDhxYQqViEmPXHJw1133aVX4qF/euqk4ZPPN35POsh9xRVX6FATXT788MM6ZGXYiAWElYQFwCTntdde61796lerlcgwThq/ruJQHkxSF3LkhclfrEbK///+7//c5s2bE+kYxq1es1rrg+mPidq3vvWtTsBT84oubr75Zo2D5YvusVpsUnzGjBlq0bG6hN+h7A5aQGmW/QTSa2nlpjKyvCeWh2PYA6DgGLf+9a9/VTNeeoUO5UiDYDhBZbjpppvc//t//0/HuFTaf/3rXzpsEUNIKzZgMnr0KF1CZdWDsfe73/1uBZWRI0fIZN8WrewMcwA5KhYVl4m/66//Lx3CUBFpgMgtFoOOsZPk6iBoAQ8A8HWve5379Kc/LfkfrzFpmP/93//tPvOZz+iwB5nEytKhF6s/1113na6kkN/3vve9OlkIqLD6wX4Y36HbqqpqNddpGKzOoFfjRwOmoQHg6F+sEG2o0HXXkReGIDj4kQ76YpKWlReGbQxDv/71r2v+/ud/vqJlwBCKIRxgTifB8KiQo1F//vOfVzCinJjUp56wUsYzP3MGbIsXL9YhnVgmCkDo+9vf+rZ77WtfqwDIZDPDIYZiYim7d73rXZmhDUNKZBZrOgCKKba/XQ8c2K+VmgJkLEtvgeMeS4PeZ69UECoCY9l4w6XCMwdBT4MlMXrUaB370yhw8OVXKasoMqzRirxjx073i1/8QkGCysPSJpWRhjh79hy3ceNGnc+gEVDxmRSmcbMxjCvP+NNYaCRM1vmVVxPu5h9WOMgzjZErjrzRyMQc13xjeQCSWBekj4XBKhD7cWgITBQCrgADK0BJjvmYY445RiddaWTMEWEZsGRPD036NoeVRN8VP8rI9EEe+PHMHA2rWJQFcjD/MrRuqKuVvFDuAARxAUWsy9ZOLBTmUJjIlaGqggpAJcM8tdDIm+8AWCxh5oegY86KckePw0cMF+vz7Vp/oGNuhwlmAJiyQF5orCyY+EbOQ9kdlJOyVDJ6RkxtLAcKjhUChhMUGGYsjuVjhh5MqDJZG3dYNTS6aiqArNIwfMC6oVKSBhWcysDwgB5J5gYUxOgFR48eI0OA8VrB2UTHJC4Ni1UnHBWpXiZh4c09PyYP4YejgSB7Tx3LxuQZ/lZZudqPfACMgBjWFgBA42EHLK5Ve/OUrtoAvCybJzn2hMh8g5P5HbUcmAhmKILeASP0iEVmFkYSj0J+6BrQWy2T3tzDjyEW+aIxA9KAFmVGY6W8iEfHwX4jwJxGjSwAZyGHbiiHk048SYdNX//6/+rw9ktf+pLqoU2W4c0BsJQpaVHPGCohGzyQB2ACXAingwCccITL38y9lk+6rNTzEP1z0AEKBUfFoXHTOLinsOhxo0KM9ivgT1x6t8VipVARrTFbWdLIiKP7J1KV0b00QPgYLyqNTKZpxcESoRcHcDZt2ihgtVqHLixB0kgBJKMjjSTe+Jnz45qfXS2M+DQmHCsO3Ps8LH6hq/GyBmmWhvIU/vBDhywhVw9KrhLkjTkA4gAkADVDN4aG6Bp/QJUG3lXn54OyAJCxmvBHVhov4GHyw5d4OKMFMPnhiOfHVc88f8gvYMCKFODIbmXKET86Ir+uENdclF5Uhshgclg46QM8vkuK54cfSvfJtacf55DCYT8IFYAenjEtPRQ9qFUCGh0WzMaNGzJLvvQcDDt8h4nK2JshD3y5Zyct9/RCVGZ6POZHmGiUFQA1calg9/3jPvfNb31TAQVrg4k9Jm+xcBhi0NtjGQFkNA5kpcJypdLVi/WC7PEGwLM1Iiov8wjIRUWnMclqhfL28xG/J/80cuLDi23tgwQoeGZY8v73vz+zREzvTxrorhAYIBdDRCYbsSIAlXvuuUeHA6TP8qltRIvLE38mX+jVenPer+H1CVlZU90Rn/JkiR0gGzF8hFoB5IvGj8zolHJAN3Qa8KTM2LZv9SCebtIzFhVDUTonhqHwo/zNkQ5lih7ZgMfWASbma+R9McqYsicfxGO4zNK775CLsiAuV5Pbj3Mo3R98gCK99JatW/RdEwoLkJClYu0dqXw4Kh4TkQAAcy333y/DoRXPuEUnLMqUnQEIKy6yDKoVkok5KlS1mNMTJ05yUyZPUQCgF2O+gLkUKh89/Eknn+SefOpJXUmisVGZaVSY/UwO0mDY3l0vwEElw2z+5je/qbLxzHsrtgqQEUpumBMB4AAbKjHDFeZpWLEBjNiMRcWMO+LSkJClUfaqLFu6TO8BE+YcfvrTnwr9JrUq2BeBnAAMFgb7WrjHEvvoRz8aZ63P8IU/cwjsZaERMbGMmU/aWBPI7PfmiYzEk3IDbOHHPbpZLFYk1glyoBf29hwl7/XQAKcdMc0xd4JVBHiQviy/a1o/+9nPtLGif8DyqLlHqTz50o77Q3eKrHqxF4W9IraT1+IRzmQ0nRZzcgyz773nXrdg4QLNO698MFSj7iETcdEVz+gFh0ULWDG3x94lhkiHqjvoAIXhCcMOekhAgUrEygI9GpUPx9CAnhSw2bBhn/Sia9zzq593xx1/XE7vQ2OjV6SnhReTbzQQeGHen3b6aVoxqASLpcJTMahwLNPSoJYs+adWHtLhRTJ6+HNkUxwTtsyzUIlYRYGeIdoaGSLVyo5OXkxjI5nNY/iVi7kBlkVp8NBQWZk8BFSQkR+NtkKAxxzzHkysYkVRiXfu3OWuu/46XcJlRyqNnU1kv/nNb7QnxpLipT8aL9YUvSwNlnis4uRzNBSWhQFWhjvoo6qqUleXmEcCDLviyBOrUAAK4M8zsiA7+UA/b3rTm3Q+hjQpX5aIWdreKp3Jxz72MdUPumC1CYDFOrj88ss1X1YPuiIL/Fni5v0h9E19QBZzyEhdAmyZkKdj+ch/fETTx7IDGJED641tC1wpHzoN8oJDVx/+8Ie10+MaAMW02w+u9Gj0EvTiNGB632nTjsg1JaVeU6AUMDtOmXikUKn0FHLU+1dqL0hPwpIklZrKQ8WkYfFeDBYHlePjH/+4AgvAw5CDH47KyIz/G97wBpUjqnyLdBKXXh9LgFn/devWEltkGqON5d3verf2vjQgZKFHZkhCnugRmYxkORJaQIkKTi8OAL7xjW9UKwXgYxiE/DQIQI1dseydYYgG4DF8w1KCv2xMU32RV8AYKwpH/sgDfAFRk4MJZwAvGkpmQQa9YvIvW7ZUdNak6TOsw+Kyt5yVcewPuoEXPT1lKKoTJ+9OiexmjdGDA3xXXXWVAgOy4WyuAwuNRk3eH3vsUQmJrCYAGPl52RP9xR2AS10hHdLkCuiYvJQj9YLGTtlSbjgaPnKjd7YJAH5YR8hBpwYv+NSLFUp9AXR4DwuHHytQgDh1i0ljAMvypJEOwT8Vgq7ZAeNBkEHGoqw0YClQOBxBwOpJ3LG56YW1L6j1QQ9GpTjnnHN0CHHvvfdqr8bQhZ4ZawLTn4KnYQAoVG4rfBoAG5+oaLz0hdlNxcU6AtBmzZotlTTqjZCDtNeuW6tx2ZzFfA4NEZMY64YxObyJt1qsFoZnNHx6QtKnEpNPwAHwxBKgwrPKsuD4Be5vf482eMGTeQssExwNjQbBfABDJcARkCCcPOwSy+XxJx7XlRnACjBiWAEPrA4aGtWB1TKWhQE89s6cftrpClpss+e8kHvuuVsa71UiY7M2VPZdsHxKA6RxJjnyB5jF5yisMWPF0bsDpgBPEh8sAvJ355136hIxcdhXw1zLjBkzRUd1iXTkfd++/TJxf4uCAeVGWcTlpZ6Qd8oYEGc7P3MspAMPdMoKIvWHsoEe64n0ATU6BHPoEeCmQwDYASGAlzIsNFdl9Afr9aADFAqKykkB42h8SSYu8agUxONH46CnYshkftDi6HkiP5aJJZ7E9XnCi8bEhiniEZ8hB70rceFj4AM/S5t47IlISZrEj/O2eL488LIKHNG3SnpRXrEeWIbm7WJoiWdL3qQLH8sz4chk4Tzzo9HAt1AeiAMf+MMDXeyVl/+2b9+mQM68EzuJ8afBMfdx5ExZzhXd5XPIBl+ucUc6lhb69HXpx7X8RXkkP+2q+6Qy8OnIN+WH3uBh5UuavjP9EId7rA3LE88WHtcfZZYkNx2GpWn5i9cVP/1D4f6gA5RDQekHYx6wDJhUpnemx6VRMxRh4lveuVEL7GDMV5C5tBo46CZlS5v9wK2rGmA4iPnOBDcWBENCTnJjboFl3eCCBtBAsFBCPeiSBmwilxUh5loAFOYiJsnyOpPC8eFDl5iGSIecBgKgHHJFWp4MMX/APARzUEnzBeVJNXA92DQQAOVgK7E+lBdQwQVrpA8LoZ8nHeZQ+nkB9Sfx+gWQAGopNp7J+03xFSOZ25GdNYJ4Uq27uMmuP+n3UJAlAMqhUIoDJg8RmKRa9zm3d6NzjS/I24J7JPeyFF0le2hqp7jK4XKeSg2HGMkGs9iy8IBRUx9mNAx5ilA++xTYeMb+EN4stQOKfVa2B6GlpTWz/8T2mPjxDuZ725uBLrjXPSuyu9b2bpQsbzJv41Kyn6dFDkDa+ayr3HC77JF9Vt4glBPqBsv5NRWy/6V5p+zs2yIAM961jz/fVRx2rHjLztgqeR0jWCslK4rOGAVA6UxDCeE0IDt/A5AYP35Czk5ZGhc7I3kdny3w7Kplzwa7Xf0NcwmsDyovgJVNhmz1Z9MaO29HyUFV/q7hnmdIrJJ2OZbyQINre/Z3rmrTL5ybITujJ5wpe+OnCXve32KDmrww2SJn0ex6WN7Gu8u1Dz7PVcx/g6sYIm//VvMyXu4mNvEIrgwaYNAZXDc1wJ4MfXlQXvDjhbQnn3wihwOAwjZ43uXgJUDiLl68WDeD5UQ8yB/YMcpW9Be/+MWypfw0PYryCdnaXzoHmMiu4MaNLrX0W65q353OLbzEucmnyIhGqm5qe/q3LbpWCfCMmeXcgmtcZc1TrmLJZyTKCnlZVOZcmHsJruwaCHMoRaiYXaK8dYr1wZ4Mnn3H2874cW4H767gbFhgwwSLbxOdLMni7AQ287d4XKGNxzN/i8ewIykN/MzB2/hjZQAM5lgS9sPNn2s8fZ6hRRe8r8S1gy4kjsWDR2cf5SJOxslQJ9Xc4NyK37uKvf9ybtZcGeKInto3ybzsIElbTm1rq5SlbBnZVDP8bJOflEWlAMuUI53b/7hLrfiFqxj0b86NmirKlXmV4MqqgQAoZVQvDYmf73hmeICj4TIEAiQ4XR0HICS9MUsY8XifCB4WDz/7EiB+8CSchg5Y4AdI0NCNzkDD4kXv2MAzok2a6yEuPz99ngs5C4c/c0k43meqqYwatoFaXh7y7k3bxidc9Qt/dO5IOYC7Wr7k17JZ3vGtdLu27nPLH1rvtm7glPuUGzG21s06Vs6wmT5apk2QS3Q8bqSrfO4x17b+Plc57KWCJwFQ8uq6RAEBUEqkyK6y4S1VTpujwWPd8KYqb/7yBi3WzHR5+5kPuPtv3TJP0djQ6FY+u1KHTrz5XF9f78455xwFDd6WxjrgjV1e/+dg5TvuvENf5ONYAz4TwrZ5jnDg7WzoAA3e2OYta17F501e5niIi0wTJhwmcyJy3q7EA7T2NOzR0/w5woG3rXkpkHjI7Fs46AEggYaPkvHKPu//MDQC4DiACLo5s+e4YcPTxwgICHZwykNeZFzyfVddJ6s6WB7NMkfiqt2OLfvcQ/dtEiNkrJs+Tz7ZMajSNWzf7559Qr7tvHGQm79wgqsC7NoEVAYLKD12s6uYeZFYKvJGeFJaHRIPHsVqIABKsZorko6jCDjgiHmYSZMmZ05y49V4Ghy9Np/e+LQcis3cC9YEYHGLvHrPQUuAD1YHDf1Xv/qVnq/CZ1eh5/gDjnKAB/Rr167V1+o5MoFDn2j4xON4BoCNc14AFNL1HTz47hDHGnC6PJ+X4BwQPj0BHYBB+pw1wxySDyg+mPAdHb7pixxmrSAb39jh7JGXvexl+rWBpFUh3iRONW5x1Vsfcm6mHN15QIaOkqZrlyGOAMWLrxwnlogAUVV00PeEce2ufsYIt3mtnO5/QL4qiJHSxFBOzofdK0dEygpQxZBRohsmcYMrlwYCoJRLs3n40vgYAkRnue7QYwc514TDnDjiEEuBs26/8pWvqJVSL5bI0seW6glnNGbAZMqUqfJ2b/QNZz5wBUgAOvDVBi0AwRCDeRsO077jjh0KAJw3wmHSrFDxzR4+hAYw8EUAO3yatLFk+DAYR2ty3gfPHGcJGHKWB2fLIC8WDkcwkhffMSzC6rnuuuvd6tWrVF47zhEeq+VMWs5QYbjH8ZpJgIJ10bTiLRh1AABAAElEQVTpGfnmshzC1CrDwf17xUqR5WE5THz8CJmQZQjVLoDCgdCAh4BcVVvKTR4r4Ej8Jrnulx9HXcj8yv5VS9zQUdNdxWCqvNAEVxYNBEApi1rzM7UGz5wGK0F8Ze6NctoYQxyGBnx1kNPZOMyJRgnY/PJXv9RT36rkLBQOhXrHO97hDp96uFu+Yrkei4i141sJkcVhE6b75JCkI/XcXA74AVTMGgKsOOyJj1IxhOGIAo6s3CiHe3O0IZYFQxQOZraPl8GDc3Xx5yAnzrjF6mCEgSN/ABn52LBhvQyjhqklYt/05dxewnjJkOMQsHCYMwIofZcSUGzauoa3V92gZhm6NEl4lVgcKTnsSPCgolomlgeLH4ACPgiYpJolzy1yRgqytMif5ghQZPTl9r/wuBu64Go/iXBfBg0EQCmDUrvKkh6aQ6E5PYx7jmLEGrj11ugQaE4P43xVvn3DQU3Dhg3Xs2uvvPJKnX859bRTtVHT47PKkuTY/8IBzBxTyT0OKwgLAasGiwMwAQg4gQyAwRLC6uAH8DFvwmHfHPDEWa+c7woIcO4t6XI+LAc44+DDHM+DDz6ge3EAHvLAfBGOORz8mIcBsLBY8ItPRDPkaWve71oEDYa0yIFWMvGqICH8t25rcmvXH3DzF8gRmMOkCgugtOxvcyufanSy7uOOnD5UruIpAOMEYNpa5XCl/Q0imyALYAMABVcWDQRA6YFaaTz26y4bemTOeuWIRYYd9PJ1Ml/BsYMccQlfLAl6e5ancQAC8W2VhkbIUAIgsDhxOUiD4wkBLHOkRZpMBGMVAQDQAzBYTVg4li8sH6yJdlmb5WhGLCR4wYONbAaGxpslc+RuFqsCWqwYDoAmLg6AYmgGD3Sw+vnVeiym0du1olJOwRs6TvKfcnXNba4ai0OsEjBhyX275HjFZsn3IHfMsXIWiwDElvXN7oHFO+RWPvcxulbOaJGqzahIaJsPyGrX5KmyJC+rPAFMTMVluQZAKUKt7KWgQeFYgeHHVnv7QDiv+NNo8McRFxCIOwMG86cH9XtqGiQ/GjeOBmjpWoOP8zBedoXGAAA/6BhOMSHLFXrmRLAgAB/kBsTMEd8mbVlWJn1Ag3fwcPF8kXc/36wcMcwC9HAmN1esIz4sZnnSCOk/FTJfMmTSbLdd5lyb98vrC3Uy7EGHVbKsXl3l6gYLKIIOzfITmSplP0rd4EjHFW3ix1ztAQGvJtkPJIAybNapshWf6h6Vm59WuC+dBgKgFKFLgMMaKcummO779u/TZVfY0QvTMzMcoDHScGiwNG5z+GMVcHARS7sACdv1Gd4ALDQy5k+go1Hidu/epas88GdZlvNKGe4wh2KN3vgnXWnEpMFELt835hkLgxPxafSkyT0rP+awZDipnolczpXlUyMMUWqrahU47FR+iw/AMMHLtVoaPocwAV5YUvA3i4srOpwxfYZejd6uNP6acfWCC6NkPnaHG1wnn0kFyMXSWXDMGLdlR5ObNlFeAmwVnQpGjB0+xC1cMFbiyAn2IrNrkvNrDzS7A3vb3YGWoW7c5LkCKFkrzdIJ19JqIFvDS8v3kObG5yVoiDR0Gijfi2FZlcbNj0nMz33uczoHQc/MMizzBvHeHCBgYnLVqlXaYBcvXqy0zJewB4ST6AEbTsIHcGjQN998s349jxP9OREfmqamAwoOXVE61gOrM6TdIpvpaOjIx6QwAGfLwsYLmVmOZshCXm+88UbdU0I8QOmWW25RXhYf0OCUfU50q6kZrGALGCE/umBehm/ffOELX9CVowMiOzQdnPhV1o5wI096nWvYV+Uad8t+kn1iOR1ococNrXTzZwx3dQLs7oBYS/KrkcnaOYcPdUdOlM+KNMvLinv3u/17ml3D3kpXO/8yV10r80dJ6XRIOHj0RAPBQilCe0xO8jlPrBAaCN+I4Zk5BqwQ5iGY+MTRu1988cWuvr5e5y0sOeJhIfABL5Zv6dWZoNy8eZM2sBkzZuonOvB/61veqhOjzE3cL1/r45s9+AMMpM+J+r6LLCFOrI+GKH4YjRqZsJqapeHxvWYaO7IATvDEWSPHiuDsWFZnyBefU+WjZuSHuRUmVxkmATzQkDZDJ75T85//+QmNw6Qtk82ki/zkF4uKj43ZZK0vo91jUYw64Sq377m73a5tj8hop8UNleFWxWBZ7WmVqoslYnkX+cU0jDaziXVyYJ98jna3WHE1U9zoY6+QVaGuf3PZ0g/X7mug6jpx3Scb2BQ0GnaSshcDEGAIgglP47b9IDRYhhHXXnutu/aN17qh8t0eGhwnxvPxJywF6PmuDxYKQwmsBnp1Vl0ADZZUORphzNgxOiwgHmlBi7XA3AfWAxYAz6zQ8HEzGjeWzP79B7QRs/MWAAAcCBskFtbTy58Wi6RB5WUuhXxgDbEsDHDx7d4rrrhCV574vg/8SZ85HSwZ3jBGD3ya1DbbkR8mlVnSnimAuEuGg+SL+PbtI7NW+J4On+Ngdy8yJTkmWCsF7AaNmuIannvUtTfJ5LQAUSU/Ge5VsBdFwEwUEv3kO0GtMm/SuLdNLBM5MqVtpBt1ypvd8Hnnu8pqJmQTLKGkhINf0RoIFkoRqqMh8VEpGi+mPTtVzVqhpwdMGK7wpUIaM993sR7fkuOZhgSe8wEs9pwAFPTuAAmNGT7wIy7PNHg+CgZwAR7wZg6DZV1k4gdP6M444wy1DmiwDGes0cLr5FNOdp/61Kd06MEQDceSNd94ZtXHLC0A0eZQWKnBKiIcSwU5+d4ygAgQIhMrUMRho9oo2Xj3oQ99SOdQWE1ibw15gY6NdCw9s2kO/nmdyFpRPdjVHbHQjX/xB9yuB2+Qj5WtlDkRWUoWfBgk2/Ely7oVRVaGBexkjkjwZX+T7FUZMtmNWniNG7nwSgElrJMAJnn1XMKAcB5KD5RJA7GX8zj7hGEOfjRIGhaWQPxEeLajszuUXhvQASCIv7dxr0wPHJB7Pi8qH5gSYKDxY/lg0bB1Hsd2fICkTr6RzAuFbG1nXoN5lHPPPc/ddNNNbrjsV8Hx0qABF1d+OJObSV0mlXlmSRp5WaXhGUdjB6RwDFHMOkF2gIEv5fHxNNLBWVpxGsAGqwce5JW04O3LpAzy/UGmtmbZnLbU7Vn2e7f/ufvF/Ngkq8gt8iEzyVMFm/jkDe/2apeqGe0GH3GCG37cVW7YkafI+zuyumTDonz8g3/JNFCgeyhZGocsI21A0hvzj+EHQwNz+RoLjY05GOYtaFT8uK8ZI11u2kFrDmChAS5evFiHJ6wCsQqD9YB1gXUCAIwbN16HG4CJgRhyJbmM3CI7cptT/zw0yM0PK4kfzuTMl47RACIAkNEYnXp05Q+rO2Kp1B5+vKsZO801zbvYHdjwhGzNX+Ha9gLiMgSqHe6Gjp/phkye5wZPPMoNGjFRaUTIrqQQ4pRIAwFQSqRIGklXGkq02sFQJvoYN42uEB2Ac9qpp+mcyo9+9COdL+GD4TiABFpWm97ylre4177mtcnvxRTIY6G0k8i6Gx8e0HSXTvMWEafFEB6DBrvqkTIMG3GYq6s/SawW3l1i95qkISs+FVUytMzMlQQgSSuuVy9hyNOr6nY6l8BKB5OrrHBw3AAgU8ixisJkLyss7KLlvRqGQvT6LPuyCnP88Qt0qMTE64BwOizzzpsBtJgnkWtwfaeBACi9rHubiyDZbp1eJvEBFoCIH3ywbmzlxuYkejk7IbmggRwNBEDJUUf/f7AJU1/S7g4nfNpwHzRQSg2EOZRSarMXeAXw6AUlhySK1kDuFsui2QTCoIGggaCBzDujQRVBA0EDQQM910CwUHquw8AhaCBoIK2BACihKgQNBA2UTAMBUEqmysAoaCBoIABKqANBA0EDJdNAAJSSqTIwChoIGgiAEupA0EDQQMk0EAClZKoMjIIGggYCoIQ6EDQQNFAyDQRAKZkqA6OggaCBACihDgQNBA2UTAMBUEqmysAoaCBoIABKqANBA0EDJdNAAJSSqTIwChoIGgiAEupA0EDQQMk0EAClZKoMjIIGggYCoIQ6EDQQNFAyDQRAKZkqA6OggaCBACihDgQNBA2UTAMBUEqmysAoaCBoIABKqANBA0EDJdNAAJSSqTIwChoIGgiAEupA0EDQQMk0EAClZKoMjIIGggYCoIQ6EDQQNFAyDQRAKZkqA6OggaCBACihDgQNBA2UTAMBUEqmysAoaCBoIABKqANBA0EDJdNAAJSSqTIwChoIGgiAEupA0EDQQMk0EAClZKoMjIIGggYCoIQ6EDQQNFAyDQRAKZkqA6OggaCBACihDgQNBA2UTAMBUEqmysAoaCBoIABKqANBA0EDJdNAAJSSqTIwChoIGgiAEupA0EDQQMk0EAClZKoMjIIGggaqgwoODg2kUqlEQSsqKhL9g2fQQF9oIABKX2i9G2kCJK2tra6lpcW1tbU5A5bq6mpXVVXlqqvkWl3VDY4hatBA+TQQAKV8uu0R57bWNtfS2uIOHDjgnnvuOff888+77du36zNAMmLECDd16lQ3a9YsN3r0GDd4cI0DZPqrxQIQtre1a55aJW/t7VlwrKysVNkNJHn2nYGogSoA297erlHIr9EFcPW11jf3AVD6Ru+dptrU3OSeeuopd9NNN7lHH31UgWTkyJFuyJAharE0NDSo1TJz5kx35ZVXugsuuMANrRvab60VwGS/gOOGDevdI4884latWuX27NnjBg0a5A4//HC3YMECN3v2bFdbW6t+PjACKFhnxF+2bJlbunSp27Ztm4LKmDFjFFQXLVrkxo0b54ZUDem3oNppoR8CESqksJIH54dA5g7GLGCZ7Nu/z913333uK1/5itu5c6d76Utf6s4++2wHoNAbU2T79u1TwPnlL38pjXSDu+qqq9yb3/xmN378eG1QfoPsKz1Y1QL8duzY4X784x+7xYsXO56xMIYOHeqam5v1B1Aed9xx7i1veYsChAELVglAsmTJEgXXZ599VoF08ODBDksGC44rwPKyl73MXXTRRW7ChAkKvHFLp6/0MJDSDYDSz0qbBvLQQw+56667ToHjC1/4gjv66KO1gfggQWPF9N+8ebP70pe+5P785z+7N73pTe7d736Pq5XG2R/mVQBHLK0HHnhA87NlyxZ3wgknuJe//OUOi2LYsGGaB4Z0v//9790f/vAHnRf64Ac/6C655BId1u3evdsBml//+tcVLAHXSy+91E0YP8FVVFYoUN1///3u17/+tQIs/D/+8Y+7GTNmdNBZPyvqQ1KcACj9qFjptXft3OXe9e536XzJJz7xCbdw4UI3uGZwIkAAKvTw9Pif+tSn3GOPPeY+8IEPuPPOe5E01qF9nrNdu3a5O+64w33zm99U8HjnO9/pTjnlFFdTU6NWhQEk+cYSYZ4Iq+zJJ590b33rW93555/vbrzxRgULAOYNb3iDzBsdLkOi7FwROmA41NjY6G677Tb3ox/9yI0aNcp95CMfUd0xpAqu9zRQJT3hdb2XXEipkAawTh588EH3k5/8xL3mNa9xl112mUy2CpjIJGySo0EyBOLHXArDpHXr1rmTTjpRh0dJNL3hZ9bT008/rdYTw7CPfvSj7sQTT9RhDo3cJlJ1pUrkB2QYthx//PHumWeecVgdzJP89Kc/VYvmXe96l5syZYrOscRp4VdXV6c6mDx5svvTn/7kVq5cqcNE+ObTX2/oYqClkTudPtBy34/ySyPcu3evggmTi+edd16X5wFoUNOnT9ce/eGHH3Zr167NLC/3RRbJC3M8f//733VI8vrXv97Nnz9fwdGskrhc+NP4maB9//vfr3F/8IMfqEWDtTJx4kQNj9PZM/QMobBq3vOe9zj08LOf/UznWCxOuJZfAwFQyq/jLqewf/9+NfeZnJw0aVKX6awxMm+AlbN+/XpdoqVh94WzuZ1bb73VnXvuuTpfglWRD0x8GYnHUvgrXvEKN2/ePPfZz35WJ1m7QkscwPXCCy9UALv77rt1UtvnH+7Lq4EAKOXVb7e4AwRYKSeddJL20N0hZkVj9OjROpG5detW19rW2h3yksZlTuThhx52TU1N7vTTT3fDhw/vEpggBPlgmHfNNde43/zmt27K5Cnd0gWgwmrY29/+drdixQpdHSpp5gKzghoI+1AKqqd3A1lapXdn2bOYJU+WWtnwBigxUdlXDsvowSUPKsAxbzKouvsTozrPIruAK6u61+cBKFg5zNswUbt69eq+UsOATDcASj8qdnp0HD10V0z8uOg2WYmFgKNhF8Mnzre7z6S7fPlytUyYD+ouKJCeAmr3sCQjJrTsa2G1h9Wj4HpPA0UWWe8JOJBSsjkPQKBYIDC69va+mT+hvEibDXkAHD+TqTfLEgsHQOmLtHszn/0trWChlKBE2MDVnmrv0coKYMIwBeuCn4FLd8Sj8VgDqpRNX33lSBsrizxYPkyu3pIJHTJBben3VroDPZ0AKD2oAbYTlJf2GK/bUKMYllR8dr3Cg7kUVnx42Y3hQlcbI9YA8ygsv/rgUow8PaWpr693bGxj2zzzOl3NQ0/ThR5dMnykXIqZiyqFDAOVRwCUHpT89h3bHUuj9957r2NbeU96Q2gBkmbZqs7+C4YMl19+uZrtmO9dcUxEQnPkkUfqUKMrNOWIQyNmh+9vf/tbnUvhxT8slt5yTGzbxDQrX8H1ngYCoBSpawCAzVO8Y3LsscfqS2lYCD1xWCf0rI8//rj7kWwhZ7mV91a6Cigjho/QF+RovH01d0H+sUZY+uZNaV7q412k3gIUyoVNdffcc4+bNm2avnDYkzIJtN3TQM9aQPfSOmRiU2lZPWCLOLszeUcFUKmqTN4i352MN7c06/knvJtDY+QtY7aVd8XxQiAg1NeOoRqvArB7lzxgNTHs6Q3HMQkMtXgHiDJhk1xwvaeBsMpTpK6xJHgTluEF+0awIpjv6OmvZlCNbjOnMeoGNTHfDzaHDthcxhktvLDI+SW9MUGKhQcg33LLLZoe58QA+MH1ngYCoBShaywUKi9XgMSGFzYR2qOrrJDYC23MBZDOwebIP/tAOKKAd3B4C5g5JvJTTseb1+yO5eVKLBPe60GXwfWeBgKg9J6uB1RKgArvFl199dVqpfzmN7+R+aHmHk1cd6ZALLobbrhBl9/f9773dfnlys74hvCuayAAStd11SsxaYiHiuNENuZPONoRq+GRRx7W5fVS54/le5an//KXv7i77rpLD5rioKVwbEGpNd05vwAonesoxChSAwwHOUj7ve99r1omHBjF0QoAAMPFUjj4cCoc5+6y3M6KEnMnTAKHPSil0HD3eARA6Z6+QuxuagCLi2MIPv3pT+skNscRLF+xXCdNu8kqMfrevft0r8vnP/95XeECvA477LBe3UiXKNgA9QyAMkALvjezze7dc845Vw+g5phHjoTEUunJyg9WDruJly1b6j7zmc/o6W4ccH3yySeHidjeLNxYWmEfSkwh4bH0GsBK4eBsjrXkfaUf/vCHunr1sY99TFeBurpxz5eMYQ6f4/jiF7+o+4GwfM4//wJddTuU5qH8PB8M98FCORhK6RCQ0famvPKVr3Sve93rdMMbB2pjqTQ27u3ynIpNwLJLmWEOnxDB4gFMAK0AJn1bWQKg9K3+B0zqNHQmSXnf6B3veIeeYM+mN5Z3ly9/Woc/nU3WEs43i5iAve666xRMABVOhRs6tC7xywADRsH9JKMBUPpJQQwUMQAW3uvhG0K8XsA2+euvv15PqmfnMVvn446VHMBkvXx1kO/vfOhDH9IJWL5ZdPLJp4RhTlxhffgc5lD6UPkDMWkAhR9b4i+99DK9MqfyrW99Sw/XZkjEwUgcG8kwyT5humbNaveLX/zC/fGPf9SPhV177bX6WQ52KYfl4f5TkwKg9J+yGFCSAAIMU9gez16V733ve/pjboQvB7IZbnDlYN1jwoY4Jl+Zb3nVq17lAB2+v1PMZO6AUnIfZDYASh8ovVCS/oYvevJD2ZE/QGHOnDnuk5/8pH4wnS8H8l0evq3DOSrsfP3a176mLxuyl+W0U09zw4YP69PzXg7lMulp3gKgFKFBGgI9LFdeeCvlS3wsq7a2tOryKlvHD3VzHh3yIiHzKq9+9avd3LlzdV8Jk65sUFu1apWercKKELtgiRtc/9VAAJQiy4a3WJkHYKMWn8zkdHcaR08d56xs3LRRzXsaVE8PbeqpPL1Fb8DCG8pf/epX3e9+9zt9c/iqq67SrfTMqwwUXfSWzsuRTgCUIrRK5QdQOLOEYxt5h4QjD0tR4QGUZcuWKaBwnkhdXd9/9LwIFRVFgjWGpTJzxkz3tre9TV/4A6iZoOXwqOD6vwYqZMxemre0+n9eSy4hr8uzjHnzzTfrnohSnF1Co2KvBq/9s7N09KjRA7YxUTVLYfWVvOADw7waCICSVzWdB2BN8D5KS3OLa2ktzQelaEBm/tfV1nXr1PvOJQ4xggbKq4EAKOXVb+AeNDCgNBB2yg6o4g6ZDRoorwYCoJRXv4F70MCA0kAAlAFV3CGzQQPl1UAAlPLqN3APGhhQGgiAMqCKO2Q2aKC8GgiAUl79Bu5BAwNKAwFQBlRxh8wGDZRXAwFQyqvfwD1oYEBpIADKgCrukNmggfJqIABKefUbuAcNDCgNBEAZUMUdMhs0UF4NBEApr34D96CBAaWBACgDqrhDZoMGyquBACjl1W/gHjQwoDQQAGVAFXfIbNBAeTUQAKW8+g3cgwYGlAYCoAyo4g6ZDRoorwYCoJRXv4F70MCA0kAAlAFV3CGzQQPl1UAAlPLqN3APGhhQGgiAMqCKO2Q2aKC8GgiAUl79Bu5BAwNKAwFQBlRxh8wGDZRXAwFQyqvfwD1oYEBpIADKgCrukNmggfJqIABKefUbuAcNDCgNBEAZUMUdMhs0UF4NBEApr34D96CBAaWBACgDqrhDZoMGyquBACjl1W/gHjQwoDQQAGVAFXfIbNBAeTUQAKW8+g3cgwYGlAYCoAyo4g6ZDRoorwYCoJRXv4F70MCA0kAAlAFV3CGzQQPl1UAAlPLqN3APGhhQGgiAMqCKO2Q2aKC8GgiAUl79Bu5BAwNKAwFQBlRxh8wGDZRXAwFQyqvfwD1oYEBpIADKgCrukNmggfJqIABKefUbuAcNDCgNBEAZUMUdMhs0UF4NBEApr34D96CBAaWB6v6Q21QqpWJUVFT0WBzjBSOfX3t7eyYN35/4/PAz/8gP+kgc41lZWRr8tTQj7pGcpN3ejh5SrlTpGP/+eDUddCevVg52JV9+ufXHfA40mfocUKgcBw4cUL0PGTIk06g7KwirkH6Fwq+1tdU17GlwQ4cNdTU1NRl+27dvV+AYP358hjXxm5ub3a5du9y4seNcVXWVhuG/d+9e19bW5oYPG+7WrlvnDjtsgqutrc3QFnsDsO3bt1/yvF/kca5KQKpuaJ3K2tDQ6JqaDjhkNHArNp3+TId+t27d6oYNG6Y67Wpe29va3a7de0Rvbao78jhUdEe5dJVHf9bLoSBbabrcIjVhALBq1fNuzZoXFAzwMxe/59l+LS0t7tlnn5OKuU39jAYgePKpp9yePVS8iBfXzZu3uC1btmbojU9DQ4N7+OFHXGtbq7LAv7W1zW3YsFH5NwngrFjxjABAUwda4w+h8bOryRO/IvfKlSvdo48uFb4r3GPLlsn9Y2737t2qA/yNh381PmTJ/M2PayE/wpJc3N94mL89+7TmZ3EI8/3M3/zy0T7yyKOZsrO4RuvT+Pf7peO5/4EH3NNPL1fdob+kMoUGXoB3nGdnafnh8XuTBf+u8s7lYRxydZb1Pfjv+oWFQuOvrq6Wnnuf9jTDhw939EYNjY3S+wxx1VXVrnFvo2to2OuGDx/m6upqtQGueGalmzxpohs5coT28BReWxtWR4uCAtZHS0urq6qqcuPGjdPSwurgt3PnLkmzSsMBC+LRy+3YsVNoW9z+/fvFWmjWijNjxgzlAfgQh/iEjR072mFVYRURf8+eRul1h4rsYtmMGO4GDRrUoYYwrKGXJR/19Ucon+dWrXLPPbdKKr9zABjykRcsp+bmVpF9TJQ/oaVR7dy50w0ePFjyPVKGRxVKt3v3LpVj+PCRrnbIYFch/lh+uyUtdIuOuDLEgDcyI++IEcNUzsbGfeLfpumQF3TWqPqvVSuNjLS1tyk/QBH54UP+KT+swf37D2jZIBt6TKXaJd4IkWeIS6E31dEetSiIG5VTq+qYvMoAxo0ePVp4DUq0ONoE9Ldu2eIWHH+85IW+sEItFPICIJM//KgfNHj0VFtbp3EIS4n+GhobJF/73KhR6GmIq6yq1LTIC/Vlb6NYpkIL/QgpQzoXdDtixEg3tK7OtUueqCvIS92sqxsq+qvWMkPX6I48IENTE/WkSevyvv37pAxGib4Gu8qKSq3Pe8SSRo9YwWYdSwYOatcvAIXClPJzq1Y9L5WzwZ1x+mnScJrcI48+6o6cOVMr/N//frtWzubmJnfWWWdKb77WbVi/TipAo5syZYqbMCEaykjz0gJpE0DCenls6TJ3ysknibXxrPAZrA0Avhs3bFK+Y8eO0Yrf0tLs/vmvfwnPDVrhaRCzZ8/SRnPvvfe6Sy65WORbpTypbMg3WirlOeec5TZt2uT+9rc7VIYqqbg7d+xwl156iQDB2ITKgZXVrub+hAkTtJLTcDdu3CSVsE6e26UStrgnnnjcrV79ggIGIHDhhedLxW5wDz74oKuRBrtfhk2HHz7FHXPMPIn7pHvhhbWaNxr2ySefLLyGuNtu+6sCBwAwb948+c3VPCMUlf+OO+50l19+mTbE5cuf1oY1vb7e3XHnXdpYAE0azllnneEmTZrsnnzyKbXaGGbQUMjf/PnHuDvvXCx8AasqTWPVqtUyZGyUfDrV5SmnnKIA8Mc//lnTQkYaO3rAonzooUfS4NmiPF/8ovMyDd1XIPwADIBcwVEaJsAJoP3617e4kVIeR889SmSdKOVxu+oYAD7+uGPdzJkz1Eq99977tFFDc+WVL3EjpPOiMVMHtwhY3XXXPQpoAN7s2Ue6dTLcJU2GZydLPaoSAII3nQUd4PECbrNmzRSr81m3dOkTAvSDFIhf8pIrJL3NorMnlV7wVECnXXXZIID2oFhaI0eNck0y9F24cKGbPr0+EUSF+KByfQ4ovrZQONYBc5P0lq3SE9B46b0nT56kjaJRehAsi3nzjpJecLs74ojDtSFjOVApcDSgjRs3KECddtopUgHHaGE61+y2yVwKjfGSSy6Swq9x9933gFBUaGXbKSACEMB/2bInxFpokrCU9kjIQU9ID3PKKSdLg2p2mO3rZWj0iAyZzj77TJFlmj7fc/e9KgviUJE6OPFnvoR5BPgwvBozZozmlXS2b98qvx3uhBMXaa9IOsuXr9BGfcIJC6XHHSZ53yF6eU6BYe3adW7RokVqbTSIftDdI488pgB1nDSmvXv3uX899JBU2iPUqkFP/LAQsIZw6J4G3pq2jmbNmi2ANVUbxUNC61yl2yLynnvuWdK7jxJged6tXrNaZI6snalTp7gTTliUHho6N14swj1i0T0uYLd9+zYB3c1u8pTJ7qQTT1TL6bbb/qL5Xbt2ver11FNP1fQfeOBB98LatW7a4Ycn9troh7KhjCg3GjMOkHvReeeobLfe+leV/eij5ypQoz/qD0PbuXPnyP1kHV7efvsdAqiXZtKhvKoFGC84/8Vu957dbvHie6Q+XKxWHUNR5uEYbhmQbtmyTYer1EEs0zPPPE2B9f77JQ8vrBEZsVAr3BlnnK4Wy3333a/yAOZz5sxRGQFmLLpDxfUJoFjDZ1hjlVs6Yb2nglKx8afycK2vn6aV6Jlnnkn37OOkoVZqQdMr2kqB8cXsXLr0caUbO3ZsJhx++6RxYaYzBKAxzZ071y1ZskQbKEMtQAZznwqSaogACnlsGIJVAT3pU4kbBRii3nqcqxlUI5O7Y5U2qiDkhTtWkHKrDCBCDwdIIQsN49lnV2l+6R3pubfIvA9ASXo0fuTYvn2nWkkMBwEj5KD3ff7551UeeAlDBUjAb82aNZL/KjdEKi1DtRESbM50H+k6AhbuqeCAMFYHk9EMuwCwatELE6BYByNHDlewA3Bx6AU6wBy5Vj2/Wsz/fQKcDeqHFQfg0LOj46FDZWgoZd0oQxDKa71Yhu3t6GKk6oWhRWUqGo6YvNE1pXJR5ugGx5W0Kb/KymrtaBjKMS+HLDRshinkAUsWyw9dUs7UCRzDIVyd5G+QWFAjGeKIjDU1g3U4h8yUFfmoq5uhvBkiYW3h3yp1efvmbXLfono+cKBZ6Ks0Pwx/BkndwAJFnikCvs89+5zqBz+GvoeK63VAocLSALdt2yEVYKgUarUUQpsom8KNrAsKmQbULJWT+BTswoUL1CxeKQVBIzryyBlaBoTzs8qFJ5XrmGOO0R6cSnXUUXPE6km5aqmE9GyMxakM0FHJjGabWAXIAi8ahvXeGiH9h7SjX7TMTFx+DFsYD2NKAxQmF5WNBgiN76ZNm+pmzJip8kSNFGCMeKETKiGrPZjQyERDBBzQyfT6em3Yu3ftVpZHHHGEDvvoQZ95ZqVWXsb3VPZJkyZpw2HOAAAUUcVV6OoSemgVfsiIvqNeP7I4aOSAKitSDCuQkfg0CABu3769amkot7ROuAcYsJywjJqbh+qkKfoh7V0iL8MR5rnQL46GRtikSYfJU0p6/xaZgxil+iMO+YbeHCCA5TFIe3/JicgGaJEnnDxqvqkzpNXa2q5WC3yGDKnVBs7cCPEBTcom7rRMYSRxSNp0RjzyDghE+WgXfqO0fFaIBYmFOqR2jFicG9IsK7Qzi+oLfCKe4yTdEVJX0Mfq1avVHyBFxoPdddRmL+SInmnVqggYqLTbtm2TXnamFEyLmvbM3mOm75JxNj3R89LbMQQ47LCJrkWAgJ6XilAjvcbGjRvd1KlTtTFHFaFSCnWImzZtijTIMTKGfVoqzlhtQNAwYQY/VlZoJC+sXacNDh7MQzz++BPakFavXiPpHSaFXaWgR2HT0KOesVLuIwuJXpwKfs8996qlgNyAFY55GMbQixadIDzr1A8ZkYNKOUqsCSYFceZfLenQ+AcPHqK9IRVt7doXFCBJm+EajX3t2rUqi3ipKc+kMzIJRmqDYm4F0xt69Ipcfk8YLVUPcUslv8ixdetW0eMUlQNAZIgF2KKfqVOm6JBhmwxdGDYgH/MDNFCRXIEoAiNp0CIQ+UdG8g8gARpHH320e+DBJRI/6lCYMEanWAzMXfADLNYJIJ115uk6J7FF5sDOlvmbqCFGvImjP+kYcNaZkD5po08soWjIB8DvUp3MmFEvHctsBWUAGAuRtKvEesMBTAA6c2DosbVV7uWKdUf68Cbdk046Uazlx3V4yaR2i4Dx1KmTFSCZ/+MHOEPLL5pbijoKyp3JZIbwDN3Hjx+nlpPyj3U4KtRB+KfqOnG9Kbc1HBoz4+o9MlY99tj5WpnpVTClN4pZOUJscxCfXoTxLwWwc9cObRQzZkzX4QUmLr0YoAQ/q3g12ihHKXgwBMDcZVKNno9KxJUJWyrJwgUL1KKZOHGigNBUbVg0CNJgrAw9FWPixMO0oY4aNULTQ2dUMHq7CRMOkx5rkvhUuPFi+tOQoEcm0maVhsqEowGQLvMQyI3MJjdgQG89Rcb4o2VOhR6soWGPNISjtFEDhsi2axf8Z0i643TuBf1gijOkYY5gisxVjBT9jdJ8btVGgcWAPKRNelwnT56oQE2lZ76EeRwaP+Vy+OHTJJ1dqq8FC45XHdlwj2HFxIkTFCzQC3yxprCKsNLoxZlkht/06fWqxwkSzjBk27bt+kwPP378hLSOR6olg/Wz4PjjVDdYQ4PFwhojeUZWHLpD59CazjRA/qBfQJW4gChlvEE6m+FS7uikTlZ7xkhdojNjLggec+cepfMnxourpilykw48afTcR3xHSL4nar2iI6NTmCdAyZW6whI2ZTp9+nSNQ/0kDHkUuIQ/99OmTVPgoQ5SVkz+0zkeCq5CCikaPPZybtrEjGcZEoey6VkQhbEs42ekEv1rYRLH5jAodAqYK3MwOHoXnvkpj4Qs2RiZdKAjbeKzhIdjWRMrt1A6xLO0lCYtLytJ9OqA1c6du6WRbtPZfECMtKLeL9soIj96P0zgrNM5I8k/MrahB5njwbH5zfxSaZ1FVOIvLODvD89MPwxlTBX04KYjaNETcqBrc/hhUSxZ8k9Z0ThRGwM08MOiwNqjkQEcNB78Fy5kCZd5pwikyANDGueyfH15LC2u6D6pPPBDFvJEesiA8/VjfvhbXkzPFs8vY58n8S1fXI0X/vxw+MXvqUPUE2k0OfWHdAmL6jP8svUWf9LGWV3gPqpnpBPFNdAk7GB2fQYoB7PS4rIza//MMyu10dEADpcVCoZLgwZF5nQ8fn99pgExv8UmQHpwhiTW2OgA6NkZFmIlMeysr4+sD4vTX/MV5Oo9DQRAKYGurWej16HXpceikR2MDc3vlX3VmL9ZNWZdHIx59PMV7kurgQAopdVnB240xEKNrrPwDgz7qYcBDuIVym8+8XtbD0npJfnlkzfJ33RQbP7hWQxtkix95RcN7voq9UM8XSoYk8YMF5KcBMtqQmve8CSa3vKzxtGV9IiL5cJwiWt3HfqBrjtpdjcNPz57RigXPz3uGcr5fj5NZ/fQkQcm4bvLA1mi+a5os2F36TuTrTfDA6CUWNs0DlZHWlratNKyRLg+sy8hNzE2VxHO28z9ydGwmBeionfmqPw0hjUvvKBL7jtlBao7jglUaDdu2lgUGHUnLYu7Q/brsD3Ab7jkecmSfxUtA7y2yvYHNl8CrD5vSzfflY12rIqxtP/UU093mz4f377w75N9KGQ0Wg2Iem4bj4PwMilOKH8yqwC+GUhBRfGiOLaCkFSAzLBnVzGiFRGb7c+GsV8gWkXAD2c0Pm+Lb3MkFjcbn01zsgejpVn3KcyfP19XQ9h1yQazJLmZc9koS7S8T2J7RIinv7Tslh7pRDJoivxR/ZisTAbjfB0aLfqDJ1d+tgqiBNCkV3osPi/asWuX5VaWOU3/8TxYfJZ7l8pKF/s7yKs54rNaFelKdr5680tWhsjCnhaWWO1oCeTx41r6xpdrriydl6GlBy1gyT4jtivY6gplwf6nE09c5KpTkS4Llb/qUetrVA+Rh/hsSMSRnl5Vt9G8WhWrcaqPbL3nPaItWzbrtoZhsm2C1w6oC2zcs9Uh48dzki40oX7yp88ApaGhQd+LYM8Ga/3sZuX9FjZTEcY9eyPYz8HOV1WqVD56TVCcvRJssJo1a5b6sQ+D/Rq8PAjaszdj5cpnZe/DSNkstV52iKT0XSD2tdCDYBmsW7feDZY9E8fMO1r3Dyxf/oxuNYc/7phjjnbjZK9Es5xRsmzZ47ovZOrUKVLg06VXbtZKSTxkYQ/E/PnzdNPc009HG/PY8Ea6+n6SVDDeKl4tOyOpxPMkTX1/RyoyldEc9+y2Xb58uabHHhc2ZLEVnz0cNHb2p1DpqFzsBCaPCxYcp8vQbBIk3yz/Tpt2uMZjFy8006fXa6WHhv0m7PXgJT3isvOVvS3ss+D9G7aGsy3+jDNO130lyIds/5+9NwGvK7nuO+s9gCBIcAMB7mQTIAju+9LsfZPUWpy2JGsmtmTLiW0ldsbzKbLGXxxbtkaxLSf2fDOejCeRE1mK7dgjx7JaUne7W92t3kiqm819J0iCABdwBQmCIAAuIPHm/zuFAi7R4NJs8OE9oOrDw7vv3rpVp85Wp6rOqcKaOnDgoOp28laebatZGzduspUhfC7wbcGHiIRQgZtDh2ptBQyFU1lZITgLBeMBgx0a0jbeZbhQL6dD4MOfY968+fLn6FFolBlSoOGxYw2mxBYvXmTvHDx4SL/xKj5qZeJrMn58qeKKWty27TvUCAIWi9V2L/ChPPxTUCrEZtWLTjjtLV1KpzDCcIeywRcKJzbaDe7hoaOyroAdWqMc8WoGTwQl1tXVm9csyhJHQ+rFk7i2ttbyzJkzx2hEfj4W5SwY8E9pbDxjq4Uo6EatrrW0tEphz7hBYQfYc+l7QIY8jGH37TtgBESwYHZMUAQGT0yC33D4QbBROCGhTHiOlyMKCAKTB0Lt2bPHvEcRJhiUJc/9B2otEhfFhFJ68cWXbJyMQMAMOBThAPbWW2tNgR0+XO/Wr3/bvHYhZE2NFIOE8dVXXzMYyU9wGJ6rCCkBY/hnzK6ebfAfk4JCQPA/qaysMKcqAsiampqNoTGpZ86ssOfEGhEqDyMZl4dG6ps6YEwYDhMaIbsgD0xwBFzTp0+XF+w7ctw6ZQyJqzvu3ijjTYrcpX6UkN835IDBjqAEqxDlS16UD4oSBYCj3TvvbLQ8k7XkTTtQSEnLB2HYtGmz3QeGvdp35pSGKiyT0zNXVlZ0KxOa0yYlhTKh7FmzqkS7bVKoR81LGtjmzp1jwgg9wYPBr/LBM/E3+/btpZj3JFDWcPykRQKTF/jXrl1rtDis8ARoi3XFJlbwA8OZZ5/9oW1XgCKmPujmcX9j8cCFwrh06ZLbuHGzKVvaSaT6bHVemzZtUZtPGU1QZgT5jdL2A5s2ETF9wRQoivHgwYPKU6/n1dahrF233tpXK0UN7iZPnqK9XTYYHwFHEhZ8hrAQ4THgpOND4ee6dQImB0ShYPoRLYwnLIhkzwysEqwLmA8iYAn4Xsu7sQMsQXNob94j0fOgPCD+Qw89JIHYYA5X0+QqjvlJD0mMyKzKiu4eBA9H3KMRFqwYGJJeiDgZeq0HHrjf3oHxYESsBQSa3wgXPThu3TBNWXmZBHee7cmCAB9X710sl/kRIwiuK7MQAHq9TjmjIeRPP/1hKbYiEwBgbld7koxkjdI/3NSxzGAsemr8Qq5rngLHOeCeMWOaLKcJrlJBkyjeSZMmGJzs8YKXMJYGnrsoXSwE2tEpawSFQvKK5ZracN3gBN+EPqDYOjRk8x6eJbIOvIcvjMwGVOCoUl6gWBrAh4V1+nSjhkXa80RKvaysvNuaoR7wyrYJPtCwwLyAMe8phx4d2KmX8kjgCsVPx0E7ly1bZvd7/8M6mj5tig1ZoDMewfAGwocz4P33rxKuJhoOKAu3fuar6LxmyksVgcalvneinWydQTQyfIDiAHeLFy0yWIeJHvDkqVN+oy4sTSwlvIYfemiNWW1YGbQDRQYdaRvu+otloTB8xOsYb2j8eAi29HFfPZAAA8ocXoPuWOot+tAehoG5nrI+5EGAIBKamh4JBkLA/Vg2ZT0w13xAbjIh8BALL83i4osmqAyXcPXGIoFJKB/m5l0+bIDDN+WRB8ZDwIPTFm71wED8BdVRFuVgCRDURX2UCXMVF/vgOpgdL1cYgnyUgfAwqUYQohb/rCy+SQgwFgRDIa8kFfgoHOiJyrYs3f+oD2vrshiVDYBgJsomEUtEz01bqBsPVWKN0roGRuqhrcDDN6Y/CXOeT8jDd0jkQSh5h0+XzjH4wQflhMTkK4JA2w0GMT3zJ7447vXk5R3M9J27dhms1MHGRrjEAyc4p2yUJh8SCoqhAXMqzHEQarBs2RKrC5gDLLyPomQnPYSTZ/7j4TXP624ecqZoPD1FF91HSSfnJ6xy+0fUcpG1gyhj+lvad+DgAfNWhmcYHgIHypB2MweGsx8hGCiMkHwbvWMgbaczIFIcaxI8E+QJD3ha9NCD98Et5fuhqachnWffMIcac+N7QFQeWp3hDb09PRi9N0QKjAohEWYQG4QSdEFsBJL5ChiPXhJzFyGDueipYVQ0OwRFcRzX/Ak9F5sTQUCvgNjxrcV+E2yHdVQua8NHhUogu5nRu51TJz0+cyoEKDJ5CGwB5uR3EE6GLMAQhAymg3kWLJBFI8vIv0MbEcIbBRETl3ieOXPmmsWBEIQ6yO9x4/FVUODh5TmKFKFnKEj9CCYChwBhPoN3ejzaruzG2KHNAd+UD8MzeYgCpw0k2ouAI8iUg2VIWeAfRUf94WMv6F9bm4LlVFelrBrmuqiTnpd3GD4BK7hvkmWFEqc8cLR48SKjk7car1ue5BCFSV6GwvDD/PkLjB4BP4Yrw5FXetzH6qUjoXxgZ44N65VnPclfY40C17FjDSofZat9YMRPWBpz5swxeoEjFAvDvKWCFWsamhm9VSbPwdWJEx5XDC03KJyBnd/gQYZ6lRUVXVV7vAV+CrSG37CO6+rq3SQpo6AQe+DNzausWyigASsApmI+ZPfuPUZweimEEcSKHkYUiJkkOj02M/PvvPOu5hP2iDnTxnxYOoyLP/TUk+6cNl1Cs6PRSUSDPvfcC6ZUUF4wFxYG8SrPPfeihIbdzBZIuU2yOQfqs3gNYwxWbgrdU089JVg3285iCOiaNfcb4wMryoB3DG7BTy+Gwnn9jTe1UxgTpb7nZ1zOrnMvv/yamM2HqiNERLf6cgxc+4eiZb4FhkVZsgUmVkgQfvDCO9TrP74Ohhzl5eXujTffMt8WdjBbI/MfXDM38IMfPGfmNDADJ7oi1J0sk20TUapsCPTRjz5tSgmlUV09W/htct///g+NVsxNEVBJO0I5Pa1wNpSlnrVr15tlg3VCFDVbT7Cx1Xe/+6zyjLJ3qR8FQcewY+cuqx/BY2i5XZOpDFMY6hqulZcgTSw55pEIPGSSGTgKu3iG4QEwwVNYqcQcvfLKq9YhYQkxLFXru8FFMQud7rSGR9u27dR9DX8ffMCUMby0TnMgdCzMlwAryoOVLQIyGaozhMOqCbywZMkizcFsUhsPGhzLlxP0ONYmtOGB0aN7AlqhK3CaDAhm6EPnwNCd+aBVq1Zaud3A5vDFgHjK0gsxtmUeAUYdNqxHr0EQmNB6SIXdcx2YlffoWTp0nx6HZ5jsvAOB+Q6JvAgQvR2MD9GoB01PGSzv0lvxG6UREteUw/sEubH7mb9mhclvqAPx9VhwYbJrr1L98Eu6YQjTM/ygXOCHwX2dPg6GOkI9PKctJNpBLwZ+gNkPB7qsEQlMMhDQ4GA4o/kByueboQ3vWrSurDXPqAxNrnSb/twLKdSN/wzBbdYelYFJDjp7li89TsCBH+Z0WseAsmPegLwej14wKZ8y2SMXePzwy1s/5KONWB1YlIG+4IP2A6sf3hVYPibKH3vsUVNs5CEF/uE3yqTrtj3zuNS8j/iE4Q84Iz/KibkUP2z0fBbq5jl1Q0uuSXR8KB3K4R60ID910u7AhyhCcMqzQAf4AwuZtgAPz6EndKHt4R7fDHOpG0XiLUSGh22aMN+p+xkL1ARP+ZAGRKFkAzEQ6M0319pOaKxCxJR/GICGDNVY3XrooQdNkPOvFe8fYtqNRXlYLga0m7mZoPjef2nZfWPQKhR6GpgRCyRftHt2SZ/7tUFD5jOwiJgHGiqJduNvhBIJ84vBMst1HAxahQLiIUy+ECLXGWWg4BuqNKTdpHzj30GtUAZKCGK9EQNDFQM909xZxgAamLFi0MRZrv6uq2OisbHxrE223Qx23zbvG3EnFZGfcv17/oAqJvMGMkEbPD/9BOyNfhK3gos2JD995eU5Dl2h7NBuvvsrURYrMH6P1+Dv8f5KhyZMjgY+5ZtlbuCOqW8MDIhCgdgw6wkdtsWKC7/9xwPZ8zvc7/mGqOET8vEW14HwXCdT8nd4J3wnywrlhPwhT7IsVkLY4BpG5Xl4P9TNNw5uTKj5VQUPe8gXyg5l8humJSIZJcKM/8aNm22v11BmeCdZX7gXyknCnqyLfDf7vLf84ATnz1/euHGjVtPkrNdFo2QdyWtfX1c7lbexsdH8VXivrwQ8O7U0zHI/qyf4DeFz0btN/O6rLckye7cttIm6KZ8JXXxmQr4Ad7LcZHnhmvx4B3P4G6syzOXg3MhSMauTobxk27kXUnjO73AdvgOM4Xdf37eDL9STa98966VZggzkwUQIHAQaPnyl+Suwll8ifwG8ASEYy2UsofFNj0CQHSfmseznvV07zXmIpWDKZAIWxsHngKjNcLQjvQwxJQR7kRchh0FYxuQ9guOY/GImnQlcljJxCsM/AqbkCFT8OJJjWdz1cU9HAVAW38CJfwPLgnjF4p6Phys+EiznMsmGNy6+CNynPOqnjhMnjitu6IAFo7F1JDEoKCUEkwllNu9mqRWmxvuUA9WT5QTS9cACji5Zm4hBYembdpHIgy8Fy784euHvMEahDyytkriHEsGnAzxDK/DH0mxwnMO6oP0slXOC4sWLF7S5sz8atVU0wJeEd1etXKHNtktvwB116DVTOOCL5VROJMRHhVCBgBsEivZCH3AVVjpoV6AluOOIz7C8e+lSmyln6NVNa8EPPWkHfMR96M0WEyT8km42aU9oQsOxBtexqsPinoi/mj27ypavPc9R30WDGR8V6AtfsRRMXXQO+C1RNziDjuAFXuU+71AOeeFr8gAPbafDwt+F39A+yX8GeI7+y7pCAQ94GSJ09Ex79+4zD8Ta2kMW54AzV319vSEeRyHiMFAU+JLgP0BgHsyNAoJxVqxYYT0RQWv8hog4v+GNSsL3A4bFKWqSIndhUCJH58+fb5YGPgaiqRFu8eKFKv+48jS5hxXTQQ+1dt1P3E994mPdBIUBcLR64olxBhs9LfXC6Ag53pR4xbJbPfWO0mbPFpUqxuSwLZhrpQSNk/VQnjjeHT3a0IWLGgkW0dBXLbgMRgJeYkFwxSY+5FBdve3MTju5XyqGC8oTfNIjgycYFF+S+1evkkD5CG2UFHvFEgfEsiQ7vOPiT3xLdbWc1rRPyAYddcHKAoIezH1og9DOnz/PYOPo0Y/odD0EA+dE4KSu+0QjFAKeqCjZenUaKJTeSRN3poARHDym8b7lmBQc+nifhOLDuQ+8htUOvIyx3qAv+EPRcYzp/fffr3IazeqhUwCuBx54wISV2B6UfGMje6DsdA/KWQ1nSgQWuKmPuB2UQO+EIkYZYenU1BwwGsBH+Jrghbxz5257hc4CxzYUILwwbdo0ebhybG2jOUHSRupcvHixvncbL+E1u0oOawTCwo94/qJwFi9eZHzjlRAR49OtvbQrH9KAKBTiHgi2g4irxfAwEyYvBKHXI+bDrIrhHcYcTz75uDE0vT69wINiFhJn8DY0NJgCqq6uNkIiyGh2BB+tjjMRTHH27HmzaKiLXgLh5Pkjjzxih11t2brN3Kd5n16ahNBeUE/GN0xNotcKsFIODElPzBGWL/zjSxaYx5m47Hy/XEd0wEwIGMdD4I596NAhY/xHHvHHU9Kj0esh2KtWrbAejuNAif3Ag3fv3hoJ1ruC81FzB58r6whhqpEVwDYDD0oYgkJBEaGAHn/8MVNMHD+KUuPYBpTNhz/8lPWKmzdvkWs/gZFzbOiJFzC95c6dO6xOlDeu8WfOnLXeMigW3342X5K1JXgPHDhgbUIRM1+BksJLmPdRKAjZrXpWnrHdAa7pBBDyCSlE7j799Id1K6M8nm4oAqwrrD7ogvK4fLndPJ/pJMA9Ch2nMOpHadF2OhyOmcVSO6/hNltWEGneZJth4bTWtxVAXSgt8GM8K2XtU8rKx5IlQHLHjh0WpYzyKYc+UkBYdIQ51MrbFWsMJY9Sxuqora1VudvMaQ0eIawDOnGyJfgDj3SaL7/8ip33lC8KJetzKF7IvaBzjaAi9D75Mah0gSU9thgakEk+zFUEjYO8hkkQITJMNWuWP4qTMHNMWR/Y5csYJkaprKwU0U/ZIVkoIMogX1UVe60UuVFiCkxQmI2hy50mFBemv8Ej5UiPT28IrN4dnXiWNvVao42JaIcfFnkTnHoCDtJduOBdQgxgSpics3dQopjW9NYIxwHt+YHVgXs8ijMkhi28R33DhhVYFDQ9PXmJfqYHROmAb9zJiBgbWgAAQABJREFUwScHkDGEoIe8fPmqMTNwcmZOOJwMgU4m6sTyw5sZJUB+rLM1ssYQluCKT9tunbxnqMdXTygB79CG8vIyDR23WiAp98AHiSYDg3SFCSk8AO2wDPDsJe6GTgjPU5T/hg0breMiqp2hEwebHThwUHg8aK76eOXeLNEG+Awlf/BgrVmU4XgOorv37z8oRX/MXp+mCGjuMXRBeYBzAlmb1IlhGYJ3+A5FzH2sEBIwsaeN4UGWIXRG4dTV1Yuf/NDPMubBvyDJWQUVIoUPFUsuzH2b+Q2GGcwReB72wXnm1ixiQBCuwwcCUA6mMoeF01scOdKgHuqoMZyVLaFHKLF+6I0gOMMHmJNelfc9c/oDuBAylAL5IXhvBQOsMKr917teGHpcsikPgQqJ5zA8DKZHKo/zgLzbfigjiQv/vo/NAUba6u/J3VtKC0FDiGkzMUk8TyaGUPTKJNoQcITyY2MjEx7Vz540JOYhgK2oSD20FFKHlBf1gQNfTrDyPE5QSDC5wWT5/O5j5EV4eY+6QuJ++IR7PlYKZQoeaF940vNNu5YuXexmVlRYO/YobgerhbIROGCATzwsXoFfvernicAxVk8oHwtwz959go8gxLRtOVFZWWFw7dy1x4Y04CqstAUo4DeG12s0tFwoawfLh+0v4BuUS5PixqBHmN/hG+V95Mgxo8+oUSXityajEUN5FAlt4B06sJCI0wp0ZirgiOpBiWHR5lu6uWq+xy1ha0QigJmz4EQ59vs4qB7Dj8E5JnKiGAKF4QEJAXuE65NgaD4oAwiFiU3vn1aQF/dCIg9DK+ZUtmlYgzJhjqC6erbNodD7w0wIA+NVFMheMR9lYma3aVI2WR7KxNftlRkTxwHGcJ820EsxbMB0JRKVuRbggym5R68eEvDRw/KMYYgvxzeca4Ru/PgynX6n+R0xJBYYAsNB5jwPifmC05roZpiExVBTs99VVlZYXeQjAA4m5zS9AxoyMWzBRKdNRLdevHjRjgvl1MDz58/JKmpT3SmzwpjXYrKViXQUEBOZ7IOCOQ9+yIuAM7+B8NTV1ZnwYf3U1x+2+whRgNfaZYLkrSyiwpNnAYE/hrjTFRRIQCFKCWUyffo0m4ewoYuGdwwV6QSgXdiGkg5l7NhSlTfJjVUQ4fx5fte2TdocaZmGnuycN15zVcAWDlPbvXuv4QLLJsAIXqgTaxi+QZlu3LhJcy5rLI4HZQxcKAFrj5QVcygov6ef/ohw58RHB6Vc/KmTwSKh48Qi9JHFUqpdNIRtGZ5z3jSKkkBFLwM9NA60ztXvrB9FGhDBvhoQgZ2oGDOOkEZmbE6PUFk5y5QMQoHwM9YNKz4lJSP0bJzepbdnZQXGmWxjVSJhJ0vIqqpmGcNTPszOhx5g+/bt7qmnnrD5GIYq9BRBQObOnWtDIYSB3gFlwtBo3LhSN0NMTc9G8uWxcdNk3SuwsuiZCELr1CQeyoI9YjlakvE9k3hYFLSNDwKCMkOhBMZlHgUBJb9XpAxdNLQTjrwgFRiOyqSQUHBN6vVg0jAPFcphZzgEDNOeI14x/WfNmqVhgAIwVR8KjboQNpRCY2OjDYOYa0AQaBNDJOaRWG0qLx9vQx/oQB3Az7CC9iLYlAdeT8t8Z+jIPBZWImUhGARXlpWV6puNnHo2awKP4d6oEn90KUND6gH31EW5lMn8E70+ihb4GIphIZAfJcjqENtkMjyiTUwsM9SYO7faOhKU73jlgS7QEOXNsIzJ/o6Oq2atoJi5xnq7UUl73qEz8u+NVR3e8oOuzKGh+FidYnVxkjrBkRpWCnyLqGYim7bA38bHwhs0phNjpbBEvAaeC8XzTK7TXhteCXcMcatmVVoHgDWa7IDAX66mAfOUDYKeREyI2GUWPSxjQhA+pPBO8ne4tt5CDMW7rJ5031cPwqoSE4acmfxTH/9Y9yQmwhrqhIFhuFAHDB/goKxQXnie/N37mt+YzyRgsXek/JhIDPXYw65/oczkPcrgA4ykAFuynWEyNrxXL0uAPURWrFhulh51BdhCHn6H+hB4GSDd+OI+5ZMC/u26653eOOEZ74T7Ae/JcrgXUhKWAAPtCnQI74dyQ9n8ZvgXUm8YQ7kBN321O7xr9XbRItA3wEAerkMiLymUz3US1lBfkucCvcI7lNFzLXyJnvBBqDs8C/WQP7TP7pkF3MN/3Mvl1EOlLEOZRGSoOiWTXOog/LTvZL5wHb7JEK5hxvBuuBcKwqzHmnns0YffIyi96wzvJpky3EvW19e95PMgSCFf73oCbMl3+roX3vfPhJ9EO5P5uaa3luybtRME8Mb3u0ohk1Jhof8OefgOcPuc/n94fjOc9K4rWQ7XSaHqq1zygJ9kCnWGsnkW7t0MRu6nMjcKX3iH9wMcfdEimY+8JO7xTjJxj/f57osWoZzwHcoJZaR60S+ZL+Tt3b7eeUJZufg9YBZKtpCR1Pj0uskeKFswZKse2srKC3v25hMTZgs/sZ57j4FBr1BAIZ2MOpSYIgYiBu4xBm4cX9zjym5WPD0rM+Bh/HmzfHd7PygTs1YYw6oX5zob6Wb1cP9mz+4ELt69lzi7Exj6Kw9tgfYsZd8rHugvWGM5t8ZATigUVhZYe2+Wj8jt0t3qAZiW5eHGxrOaRLzmfRm6Jk5vV+fdPkc48JnoLSTAwrIn8HB9N8lc2zUJy8pLvidwgKNXfR2OXD7qOt/bNFThHzCFAhMhaLiyI1zHjjW4ZglHuM8qSe8emPwsIfIsCCnfIW9YWel9z8pU74cyIfYEIccvhGXm8E5gAPImP5QVfveUeyNsPE/CQD4+LBHiG8EqE1YRibwoEmI7bLK4q1cmP+2lHPIkE7976vaWHAoFvxUcpXiHD3lIveEJ7yefc8398Izv8G64H36TN3ygV6BLyBe+k/mtsK5/tD2Jn5CfMimLZVT8ag4r9geFwipHyO/hTJZ24zXPk3l5GmDlmrp8GYHfbuQfnvM+n9vVRXkx3RoDA+aHghKprT2k2JZaCV67+U3g38B6PI5g+2r2G5ONkPMRcTIIITvb41zFodT4kOAbQA+9r6bGdrpns2QiZ+t1pgtKg7wEcbFSgB/G/v375bsw1Y6JZAuCYD3gT8EkJky1S8FbeCjC2PX1R+xdNifGv4E4EvwOcBjz7tY6pEyRuxz2TdQry7YIOfXhg8DJggcOHDRGpUzgRVg4GHzr1h3mTDda7SA/59DgfXlW9eAij1csvjck3kEZ2tK3/DKIEcGTmCNWr13DseqkeniOzCixFR4UGTihTI7ExNGOPMSG4OcATohpwjcCxQS+cToDDuriuFHwTQQxAgce8Q8CB7ianzzpHblwDEMR4KBIhDe+J4Q24M+R9LMhNqomAU/wEsUNHSc8jt0Er8CCnw6KljOM8BECj7S39yRzUEo4iBFwhxMhechLmfgTAQPWL/Dj40Kk9r59+wxvOMuBF6xiAi5xTsOJDce/3nXdWoTi0yQGBsRCoSfYK29UPGNxOMKR6tixBhPiE3JtXrfubWMIrJH1OsqBKFmO+dy1a5c5VeHR+eqrr5llg4cjFsDEiZOtvCNHJZgS4nXrf2JOaXg3bt++w8ooKyuXo5eOAhXzo2BgMrw9k2nnzt3mMUrMDI5wCDLKD8VA4B1l4XCGAxeBdyckXCjGN954yxgYt+8NGzZYfSgRhNR/97jIc0wF3p04mBVJUFFE4AOHKwTgTR2D0S7HrZDapRw3btpsZVEv0b5tEkDwgms3x3IgWBs3bhasV3RM6QYTShy88BpF4FAGwItFUFtbZ5balSsdlo/6u3tx+UhQFsqUXd3PN583BYpwY90VF+N8NcrqamjAFf2UhFmKzcIVcDs/aooXxURCSW/bts3gIs4IRUz9WFYvvvgjU5osR0P/q/IgRRnijUooQGgrOOmdUCi0f9269aaoUY4EBB5VOYFOvEMkM4oaHnnjjTdM2RUq3ufll18xXNA5bdq0yRQnWz3E9MEwkHWFAiO0t182hponl2i8CPmG2bAKYPr58+eaJ+GSJUuM0elRT4hp8W7FM7ayssJ6d5gSAUZoS0qKLZyfYySpg9gLYl1QIPS2uIVXVVV2M1+Jemo8YculZEJiWRl3bcIBECr2DTGPSpnk9Oh4nhLqjhIcO3acggJ9UB1wA39VVZW5eWPiU+eECeVmEVBP6LHxMcC6wjN44sQy82U4pfbh0Uq7OCkP+FEAPUnmugQUKwEl8bGPPW3l4RLOO3htLl680CyuhoYTtpXA8mXLHJ60swQT8UsoLzxaETYsH+Brb2+1dqFYg48J3/izNEuRXLzYKguy3rxysc7wdq2qmiVYK81r9eTJ00Yz2i+QRQsNH+zaO/UBP+0l6rqycqbRDysKL1CUENbE4sWLzMMWz98Q7IhyA1+09eMf/2ifS/3UgyJEORsd5SmLh3CrOhu8ZFFsKCIsJk49wCuYd4hu5uhQvJxRNuCaKF88pQkajOmDYWBAHNuYFEV4YRrMY+9yrLgKMSSmLz0uSgJ3dvLQa3FYeItMa3pgGMNcljUUqaiosB50i+I+cHmfO5fT3dLqSf2GSvRGWjQ2LAUfFASKgCyC5WD4pInL+xs2bDLlA5PX1taaMBB3Qe++Z88+gwcYgGuchmkIE8qOc4U79KE8Ew7VS53hAxA8823z9SLYxJOMtCGHP++HoRFWUUi45XN28mHNMRw/3mBWFe2mPp4RYUuZKeGLUAainhkycZ88RMqicDl3GYVDfAhu6wwTUJS0GVyTgBU8BqWGhfPoo4+YgIJLYKMNgS6ZTJHlxe295+MhpwxwhnWHgkRRYF3iyg6di7HUVCbl4a6PNclQhRB/2oo1QxQunr+URb6Q+I37PWEIu3btMbh5hus8tB8n6xBlwjBs0uRxtg0FdbNJEnCMkfIgXoaExzEWI9+U27suyxT/3REGsm6hABUKBKaGyRjWYGmcFWMzhoUhMLeZ34BZECx6qgnqgaZMnWQb1qxevcqYkjEwzEFA2qqVy5X3kjEi926VYEwCsqgDhoeBfPI7gxEvg4mMQqFHPajtAjgalF6V4dnSpUtsMyjG9yHB6wQwJpP8LE350VMCU089PhdBYggm7WhUbAltbZOS4pveNqTA+CtWrNB+JfNtLgXhICWrxKGNIRzCiiVyRXMm4BYFgzKZMWOaFMMRG7JhZdTV1Zu1UC7cJr0zUW4oSHp5rDAsFuY9aHtb2yXBd8XKZz6GuQjmsZj/oC6CBJMJWBjGEruyevVKbe7kLUKGd82CsUXtYA4NawHlGuhB9PiCBQvMYsWigVbkC7RFARJFTpzXqlUrtXHSGlO6WFtYPgtk5XI6ITxVLv6Br7A4V1veB7QZ1AyzRkMnA8wMz45pyAQMMd0dBrJuoYTerUJmOvMRzFVgZjMEoZcgUI2jRpkn4D4BYZja9MSsjHA8JozH5J2flG2xjYawCCh72rRpNhzimcVYSMjsWs9DCuUyJ8POWStXrrBHCCcCzrAJBkaoEWBg+eRPP2NzCky6btq8xQLuECgsLOvdCqgPd3aOlPRbAfDNtpXMPbBTGL0wCSZmXmX79p0SshVmkm9Xz7l27Tox8zUzwQmqCwm4WFY9dOiQ4kCc5Wd+IbQLa4+6aBeCWllZoc17tkhxMJnpZG3NNguI4eVBzV+AT4YJ4LGsbKLhNtn7A98EBboxuc3GUJySx2Q2Q8/169cbWCgYhlS8R2Q2OGJCE6UJLEG5AsMYwbp16zZTzgxR2epzigLeoBXzRdCWcsAd+GR4Ul9fb21lOAdNUH60b051tRAoRao2QycUEfMoKGVgWrxokcHLRDvWCdZKSckoK2P69KnuJ+9sMBhRmMCJpYoVR/3s8bJdq3JPlj5m+QP+4/edY2DAPGXpDSAg8ymcMwsTm/krRqFHpxcUjY1RIDyJ5UX2O8X0xspBoOhNEH7Ko2eF+RiOkIyxxeDkCcLHfZgeYYLhqCMwNM/oAXmfPPSCMC55YTgYGtgY6mC5ADP3ycs3dfgjVK/pOsDMfqHAwrCkZ3hFObSH6F/epQ4sE+ZJaBuwcz/ARF6ecwvh4RmwIuxYF6z2CHp7D6WE5XdZ0bAjWO1QmeQBTuoFz/zmmnLAWTKBLyZbUeAPPdSjCLkPDLQHGAqFD/CDdRLoCI7AS4CfvKwuYanQNu4z5AS3bFQE7YAh0IBr8O/byqrNCMMNCpJhLpYOeUKiDdTPPi4lUmjUwWPo0KF6qQ+60PbAK7yLoqPd4T55SJQV3rEb8d/7wsCAKRQIaR+6XCUYMzBKuB+ic5P3YbYQqQnj2lDiJmXwPNRDGaEc6gv3uSZfSNwn8R3yh2t+964vvMd37/q4x2RqaFsoz+4zBBLcQdC5Dol7ybwBVh8ZrTF/V3BaEi6uSUkYwR/zKiG2J5RDnpCPd3q3n6VgltWxAKqr/VYL5LP3+8B1WNEhz63aGp7bt2DoXR73Qwr4oDyUBkvmbF2AlZFMgR6BV0JbKBu4krgkb5J/Ao7J2/s6/E7WFa9vj4EBUyi3By3mGCgMMA/CfioMG4LlMFCwUC/WJ34+wNLbmhpIuGLd78VAVCjvxcmQv2OWQ1evnQs9NfCElAvwBFji93sxMKAKJTAuYMEoucwsAdZcg/NeC1totyhkcx/vZaGBvRPan8u8M7AYym7tPZMH2a3Xxs9MRDIJxofrwBxZBuWOqmM8zlg+12AELiYw+b4XsFEuHqlMrOZaor3QBBhjyg0MDJhCIY6DTYhZIuZDEB3emDBJb8EI95LfSfTd7D55wrOb5Wd8zpIsvhS907lz5xWr4h2y2DDYu7azynFzGHuXEX6Hd/gOqfe93r/7ykcehIjlUlbCWCljKR2fnZBCOeF3+A73+b5ZCnl4Dm4IeXjttde1NFxrE9LJ90LevsoLz0L+8Dt8h/t893Uv+byva95h1eaNN940fxtg5V4yhXJvdp+8N8uTLKev677e613Pnb5Hvt7lhd99lZHL97LuhwIymG2HQXFsw02aJc/D8owcPfq0lgmLzVrxPhQ4n13WMp42gNbqAu/x6ZAQEbvB8p71ULpHYuly5Mji7olErB5bUtbKEJsIFyh/p7x0r17FGvIz/hpp2Wl7OIThIBeWD2FWAslIHMJEPXhm8sHpDZ+HMGFJD9kipy/MbpaTgStpggMzvTyWBO/RNr80yhIlS9EdFl9E7AxL0pQ7Ul6krFCYhSDv12taCmZZnCVfDo96992NtoM7/ixVVbMMH+RlKZYlWmQLvxBWxIizgUHDcjL+M0xu9oYRBcW7wMfZQBwrio8JPhszZkzrzh+YnfaAC7xbCSRkpQWcUy4HVuGDwzNWbIg9IgaK/KzE4HfECk5YIuY9/EVYbg9wBbyN1NIxfi1XFT4BfcLyPTTyu+17uHGyIy/lkqgL71s2Ngen1MHvQHsCO8E5sLK8Pkxt8P5M9rrxDlfggzbTXmjLkjdBl5wakHRVAB7wAN24xiERfg6JMqifOC28ctmgG1iDiwT8y1lIhj/hi2EmJxQkV6pCWbn6PSAKBQbDqxV/C+Ji8B0gFgY/DVzBCeYiZgbi4RA1S/E4MA7OTgT1XRKj8O4jjzxs8Ry8gyCiHCDCihXLzMELqwf3coQHxl6+fJnlY0mU3dARbpzNjh0joKzEHMaIvyER/xIidGFsDnHCiqFMlNsVKZgHdZwCcTlYLsFzFYexhQsXGAPDGDBRXf1hW/YsFswI0Pz5841JaRtl03acvPbt22vwo7yqq2dr1/NZ5rSHhy6KB8bG8Y9IXJZ2a2r2247rxNv4wMIOC6AEV9SLQiFWBp8S8qMsECo8j1GewZ+F9hJxzDGm0ALnMzxpUea8i1BwsD11kCgbvFK/fpmyxD0ehcGxq1iaKA3qImQApceRrlPkeUyM1OXLV93CRfPddLUZz11icqA1gg5NaSeJofBbb73lnnrqSatj585ddlYPzmp1dfUmfByBunnzVnsX3LIDPWEFWHCcrDhMeIMOjz/+uDkxYg2jUGkTebGSeQ49ObYV+uPFTRtpO7A9/sTjstY6FES4xeLM6Bz27NkjxaYoeNX50IMPqq2c133EyiT4FCdAnDbBC7iAzvAPYQJeEbe7ysoK86uBpwhSRImDL2gBDmkPsWsc/RFwAl5yOQ3IkAeNW1lZKaKfcS+99LJ5zBK8h+DDRLiNQwAUD0RAg6Mw+F64YIEJcruYvabmgBBPANshUyK4a6NoIAiMi4CsWXO/eakiZES58h5BbzhIEXyI9yixJQT+wfgwFx9/PMck81pdvnypZzr1LhWCe82a1eqJhpkFU1Nz0GCDcRB2hkgNEjasBRQPiqZOQjZbVsTq1atV7xwbYsFUCCUCDyyHDtVa/QQHEkiH2/tFtRk84Mm7TMF+9HoMz2A6hBuBwNWc4SNWDkxMO4GXs2OaZcnU1R02qwqlC4zUB0xhLxYEB8Wxf/9+4eI+BViuUv0VFsM0TmfaIGD8BibwQoIuCP/s2bMs8I+jPwjqhHZEJePdSngEQXkHDhw04TgtAed96DF37my3W7RhXgYhxGFthZQ9nQu9NIm8WCIcDUL72F4ApQhdsRIJ2hw1apTl5cyc+++/3xQznszwCt6z8+fPM/hwYORUSdpJWbNEC2jPUBGlC17w3GX4RNtCKi8vM17CMkLAsahRNnQEc+fOMxyjJNetW2fKGq9rzpciUReWZLI8LBbCOaDP0qVL5Ti415QL/D5RPjbgnvcIQ4GXOJoWXkY55ksaEAsFZiE25pOffMb2D6GXwrRetWql9ZqmTMToJPY4gRD8xC8CBqfn44xfhA6GQCHgJo8HJhYHCoPAMISN31gnMDfOUQgswohLP+YzQoDVg8cqn5B4FoY/9A4wNww2UfXTs0+aNFlMftwYgHeIP0Le6DExoRl6EG6H4PIuVgHmKxYNSozzcOnRiTHBcsAiYkhy/fphlektCb6JfkaJoHDJg9IDrjCcIGoWfNGb0W6sLvaVoVecLEHljGUC7Oi1GbrQlqC4zfFNu8SjYKAJ0c/AyJDy4EENLSWI5GUoEXBBWzHTS0pGS8AbpRAO2x4u9OAop7HCLcqYciZMKLMD04ELeFCmDHWKFN2Lsmc4Cj6gP1YROAX+kLBaUFpYYMCHox0WEJHB5Ie2xCmhUGgbv1Ho1Gc4Fe7PNjYaXbE0xggv0H6SrEjwgPKBb2gDsPCep5sPlKTt4B9eQlGXl5dbveCHg8XwUkbwt2/fYTSDT8GpfegQu3g4tIc6wSMWMcGuWKLwMsO8cuGKYRnKskWK6NixY5YXvNGp5ksaEAvFJkK1qQ7DHno+3LsrKiqsBwDBCAffCCcan94Q05ooZT829a7ZMBwJwvAOgoVQolgw3X1Z/ohJ8gSFAXPySSaI35sB+J1UbhA3vEdPxYfNn1AYnH7IPMwsWTAoieC2X1jIEIIVIp1QKBhRYPRcCIQvA1h09KjagqKiDHrqysoKweMU37PemJ3eeLgY0ie9I3wkYQMu2s2+rPTIWEcwPgpHKsAEmnepi98CqTvhQu/zA6PHPx11ONGuO2PXBTTYuWuX9Z7MGWGqB9mBXtRPOezuRgIuaIjQch9akBgysG0Dwy/aslZWBcKWTHQEDD3A/RQpFIQLpzu2jwi0SObn2uOCzZJGdXUeUzUPttCHChjdPe0Z9iLkKCIUPh1aKJNv5qsWKTZov+b7UAB0KNAa3JgyUFuYp+EeeIWmtB3FgjXt+dZDB38SuV5Ts9+UNEGNPSzog1U93ETYc+TsGH3G2gHsWHD5kgZEoaDBMfcJJcecY6x5QUeBwgD0NGhprI+6Og1RmMQTwWBYzNy6unr1KEesp4LZICSn/NXVHTJmPKMeiV4Iq4XJ19raQ65ePSC9zNy5CtOX4Hqm8cqB9xm+YArD8EmlgoA3Np7tNjmJXCU/E51cw0gztecKp/VRJh+sCssnISJhJbGVQH29P5pz717tGCYzlkQ+EpYKEbFEBzNkQxEyJCIhvPTawMUkIAqC9+QsbsMALBeEjQ/txtpgywF6fXALHkIMkcEuuBBw3Pcl6gYzp93RVnDLvBHWVrF6S5vUtbLfq3yvCD5gBQdYA9RP8kPLWimBk6JTvU2SonRQWAjT0aMNNlTEisICgC7AXCrrk04DJZhMCBZKCIVTJsuHIQPWBlaeF0Dfdt7x7SpQW4plbU20oQ9KCysRvgJWOqFAwwUL5lnd3PO09wexhfqZOOW9S2pfh5QgSgdrjRMc9+ypsRUwrJOqqllm6aBoaA876bHrHSlMEEM/NrQCT5RBmz3OvLLnmg/WHXhB4fObYRR4zpc0IFtAgigmxlAcMBi9Dub57NlV0sps7Vhkggwi0dJMdJLXWxlFWiJtdpUVFerFZ5qJC2NhSjY3N5l1UFnJEY4cKl5q5VB+ZaXfiIi8MBCh71wjKvQIlM8qA8Mj7pOAkZ4GU5j8MCdmLxOk9DjAVyE4YAAEkb1IiNJlWEYdtBO46I2wSlCIKI/Kygp7FyFjYpK8DGWuao6GUH+0J8rSu74XmcKlTtoDUyOMwMkQCHzxPr0Y1g2Rs41SqswjzK6utqFlaAvPaRu9KHhlRQEYETQEFxyw2RMrJQwruEc7yRvepSywRs/OdgUovunTp5nSYyWNLQ7Y9AhFDP4WaAIaJX7gwEEND+YZDihj4cL51oGgRM6cYRvJZilnjk6tNJwFGgAf+AUGLAQUNCsl5GPIgRKm7eCAdoGnCRMm2VClsfGcYDxvihYYUcZCrfJPsFUW8AtPQZeCAr9ZFYo11A2cWBl0NtCxurrKhlil48eZkjqn+Zzx2rtn4cKFUihYapw53WQKiEl2lBH8Qnl8CIJF+VIeihEaMoxD2fgtIlDsDEmHy1pvNKUT+ID25UMaME9Zhj30PCCTBMJhkLCREfd1y+7TO2FpoBgwS0N+iMwMOQLP3AiMR+I+5dHT8y5lITRYFlhHZmGI8Ug8Ix+J+8klOmBkTE1ZJPJC2FB2yO+HVn5Y1tML+nd4L9lWBIQyEFRSYJQAB/BSfsiHhYLiCbiwZ9YOlSv8Wa8sQQHuUAbfJMoARlLoKXmfCWNS77YyJEOAeI8hW0i8y3t8SKEeYA2JKpm/wKpk0jhpEaBMf/jD593P/MwnTVhUgg0nKBc8BBoh8CgE6g/Jnqn90I1AR71i7wQagltSsv1p+Ai6dvEXFgnzFCRoFWgYltk9zrEQqN9bbeTlPrCv174q86RgZ8+u5Lbhr8N4Brr4zoz7ybZwn3bAiyRwlqyPezwHFiZu9Wd1B9wmaWi8m8AJ7+ZqGjCF8n4QAmFZPaBnqqysuOFVTMzLus/QIxDvhgzxR1YwAI1aNGxlhWKqJryTPT298s6du2w1JSj9rAD1ASvBennrrXVmGc2fP8+ssg9Y5KB/PS8UStDu9GjJ3gvqwMho+GRvO+iploMNhEahVwW8JJ3ylUYBbqyjfLISBpI98kKhDCSCYt0RAxEDd46B/JjpucP2JHvIMN6/w1f7PVuAZaDh6PeGxQIjBm6BgZ7Zr1tkGuhHCCfjWT69E5NyrDSQhxUZDm3CNXogEzDhYo3PSVAsdwIPJjZt4TumiIF8xMCAKRQEDcGxcaqu+Z38+Gf+HrPjLMseOXLsPQLKcaKcDMdqCP4CHPLF0mWyLAjj6/N1ct07+ec3hydZXsjbcy+U798n4GzbNn+4VcgTYOB38jrZfpzytmzZZsuF3I8pYiDfMDAgQx6EhWAzAqpYamTpDPdpfAxYequrw8poMz8IHJhYJeD0OwSupERu7xMn2SQscQ94H5KfMnEvZzkPpzk+rDTgr+B9JprNIY7yJ0+eYoFqYSIXIccJDAsIJyh+4x+AbwBOd6we4auAr8j48WVyoON0vFb5Zoy2oD78NliiPHiw1qySEB6AkiOwj5P2xst3Ify+TzEzbGmIgsSaKisfL3+UqQYfjm8s3VZVVak9k/ONnyK8QxwDA2KhsCpTX19vMRA48WBRcKbwRbk3b9q02awRlhfxiKytrZOy0CqOfARwkPIHd3mqec9IfE689yH+DRcl6PgOoEQY/uzevce8IDdt2qJvdo1P2b3jCjZjZ3QSCoS4DupmdQLFRQAYgWiU8fbbG7r8Fwrk97LdPF1RbDihYR3ZUaEbN0vREBU8zNUq3oSlbI7WpFxiXqgDHwgihVEm27fvtPs4Mh2VVzDxKn5lJCOnN4XRy28mpoiBfMPAwFgo6oGxBrA+qqtnmf8CIehHjx2TAB53n/70MyZcOEftUY89Y8Y08z7lHXr/MNGJ4NG7nz07xlVU3GdWDWfvYpVgYeDyjeMbLv0IK564KCr2XyEyF29FV+Cd4bCWKit9ODmC/+67m8yLF+9VPDTxQ8C6wQuVyFbOtgE+FA/XWBaf/ew/NcctzhuuPXhIy9k+poPyUKJ84+JNbAqxIasVTYpVRqAZVlgIq58+fbq5d+cbM0V4IwayrlDoqUl4RKIQEHSsD75xXBs2jFgVv4cFrskc0+mnE2701qQMFEsIYOOaD5vk4Lof4jqoD2Flq4SLF9+2uBruzaqsoIhE8i75wMEQDAvHB/D5Y0a5Tzl4YXqY093OWz4QLGPKinpRYLSBesKHisI1+XHTxpqhLBQf9RFA6NvhwSJ/SNyPKWIg1zGQdYUSBIPvoEjCqX/EuTAXwpCFGBViRbhXUEBev1kRzxHCkML9IHucQUPwnLnF65p6sCTKZcmw8RKCy/wMSgfF0ZPYe6XFrBAEm1gYooZx66c+hlVYECQUC/Mr5GEYxvAH1272tSA+hH07sGaAg+dYVsyx8Jz7BN0xt0LsD/E0xHZQJzE6uJebuz1WnDYiYjOpcaor4K0H3ngVMZB7GEhKVFahs4hPUwwSVlMCBSZQc+fO0Q5oG633ZvuCefqNEkApEIHMxCdDmuBmT0AfQrrh3Xe1+dJ8U1IIXyiTfAytmHRlty7KIqiPfSySCWuAYdDateutPPIwbGJjIq/8OGFvhKvQRky7du22yWAE/z6VzWTtypUrdMj6RlM6KB4MCoZXnMkMzOxpgtJBOTGEOn9+goZLW83KYY6ISdiysgILFmQXsfnz58kaKnCHag9pt7FHzZqLSiVJsXidixgYEE9ZhJcwdwSEYQ1RolgNWCPcIwiQ4Q9CTa/NvhRElWIZYFmUaEhRqN6fRO/fKisCCwClE/blRJjx6eA5UbNYGi2at2AYM3r0KBuWYKFQH1YPyob6sEo0mDILiSEZ76OUwvCMORDKoWwmVIlqRlGg1IIFgpJjToahz/XrtLXFJnpRZlhjWBzAyX3aiQICJpRNsI4om3ovXboiWPz+uVGhGMnjvxzGwIAolNvh41ZzBzy7W8G6WbkoFCZXUUiVlVg/XtHcDM6blRPu94Yv3Ke85LNb3U/muxkc8X7EQK5hICcVSraRhGB7i4l5kmKzFLINQ6wvYmAwYCAqlAQVUSzRMkggJF5GDLxPDPQsl7zPFwdj9qhMBiNVY5uyiYGoULKJ7VhXxMAgx0BUKIOcwLF5EQPZxEBUKNnEdqwrYmCQY2DAHNsGOV5zvnm3WrLmmff09SEQveeWwru97+d8oyOA9xwDUaHccxTnXgWmMOSdqyU+8ygOioH77D1zVWfj4LiHMx/OfzjYhTz47BCk7d8lDivGGOUehQcOoqhQBg73Wa9Z+kIBip0WTsBhY3jlTphQZnu6cDYR0dAcEvb1r3/drV+/3sIBfu/3fk9Hl6wypYKyOakQhhOc5CcP48k6D3jSJH8GUVA4WW9UrDCnMBD9UHKKHPcWGCwQf7JfnZ3USG1F8gqePn2aHQiGZfLFL37Rfe9737OARaKgF+hw+pdefMnCBdh8qrb2sPZ68acacgRpVVWlAiJLozPgvSVd3pQeJ2XzhlQfHFAUClYI8UNc8+EcXjae4kAzrtm6kvglnvGNxdKsU/2YU7F8ipkK7xIceUVWDkOgmCIGwEBUKEOIDxiWsE/L8OHDLEgxbPXggzLZkyZlh4MTWMn8CcGMbPZEjBPbQfitJHQ4vIIYeZf9XLBw4jTKEGKi2zQ1zqHcBkGD7TF7sXCAOnMo7MrP2bv+bGCOMi10v/Vbv2X3165dq930qt1Xv/pVi9Zm/93xpePdpamXtUXnaUPL1KmTbce5OH8y2Ljk7tsT51DuHnd5+SbDlXDGri7NKklu48DqDltJsFUEFgobfZfoEPQC7bDHu2yfmclwBrJ23ZO1Ezb6zktkRKD7HQNRofQ7SmOBEQNDFwNxDmXo0j62PGKg3zEQFUq/ozQWGDEwdDEQFcrQpX1secRAv2MgKpR+R2ksMGJg6GIgKpShS/vY8oiBfsdAVCj9jtJYYMTA0MVAVChDl/ax5RED/Y6BfvWUJbQ9poiBiIHcw0DytM17CV2/KhRcuWOKGIgYyD0M4PGcjdSvnrK4ZscUMRAxkHsYyFa8Vb9aKNkCOvfIFSGKGIgYAANxUjbyQcRAxEC/YSAqlH5DZSwoYiBiICqUyAMRAxED/YaBqFD6DZWxoIiBiIGoUCIPRAxEDPQbBvp1lef9QsUq8zV94mrz+8VczD9UMaBtgV2hPnznYhowhcJO6S3ygztxIeMu6jvunJ6L7BFhyiUMsBn4qOHOTRubcmP0nYubg2ddoWCNXJWH/uZjGfe3uzvdhuPOHb/EPT2IKWIgYuCmGCiSBpkqh9c1U5373OK0WzMt5YokwblkrfSrp+xNMZF4cPW6cztPZtzvvN7pXq2TEunQwxgClMBQvIwYuAUGmPUc5tyTFSn3xx9KuaVT066o4Bb5s/wo6xZKsw6d+/a2LmVC6A+GSTROskz2WF3eYgBZUaf8Rn3G/Zctzv3ReOcmluROa7K6ygMuGts63Tf26SpYJlGZ5A43REhyHwPICx/Jz7dqMu50K8ea5A7Y2VUoavjZds0stQgB13IHCRGSiIG8w4CsFHeRDjq3DPysKhSIdh11mkMaNe8YKQIcMZDAQK6tZWRdoRguokJJsES8jBi4Swx0yVEuKZWBUSh3ib/4WsRAxEBuYyAqlNymT4QuYiCvMBAVSl6RKwIbMZDbGMgfhZKt2AXqSX6S9OsLhr7uJd/pz2vqgmLZrLM/4b+bsoZpoqCwj0m3W+GCZ3eCo77yhXJvheeQ507quJs25/E7ua9QgHC4GEoOPO5eewR2McqaWaqrXJ/AMHwX6zNGn4Ax7o3UZ1Tini7vWVJ9s2akXLpMuAhw3bPKcqBgXC4Vr/J0VdotnC6k69roT9vlKepGO7dErud2Xz8twR8jM656SspVTBKeCvpQRGQk36iMW6j3x0FnfkNXlTtuQsZ9Yn7Krbqvq+y+eA4YJqRcaqK+uY6pGwNZ95TtrvlOLwThv1qRdg/MdO6fvSQf/Qt3SEGy3YSfblm16nuiQvx1LOXeOa8CCAtQWQ/OcG6pGPXPN+jeVX/vo1I8Y6Vo/n6HfvdX+EBfcHNPn0cUwzGrOeV+3NyP9amonEtq61zh+utPpNyiSSl3RSHprx1KuS//REiWD9PjFc599ckCN2eCc6v/utOdUlyYpSLnfv/xtPvMwrRrvpRyD/+lnDXa9aQ3H4hmf/vJtFs9Le026N1f/KHKlV/U5xal3O89lVZ9KTdMiuS12oz74qt6plizG8oQjzwz2bljrSm3/Uzvwj0o7/nfF13fkyn/b+S+QlEw1EfnOPeOBPwj6qlebREBRezJk1PulJhghayGDtF8V4Mn7MQyBUypt5kq66FJrv21p3QfYqpHc+f1wSGIa3okMdtY5a+SlUGM0e6zyitlUaD8vSM5CRkfZnHjvh69bXmG04OpZ5uvHm1fa8YtFzyXr+v6uPJRl+CfV55yxcJ0fauyqt6zp/VM9ybr3qTijNtxTvlU/sLSlBupXnVTi340KY/aNV4CNXd0xp1qz7hJcrFuxCkQ2MucWy6rrTOTcjvIO1iUjJoOPn9Bwj1xVMr9zbaMS6m9FWNFa322Xs64X70/bR7XiyYVGD6NvsqzRhbcsknilaOdbuFEFURZycRv5fvMXAXZjU671xVLNlpKyPJJyfz6gym37rCUkhTXw1Oc+81H0u6z85z7znblEYq7k6ylGeKv5xWTZvcpF0tVZbgmfcgrC8Zd1YVoOE88VqJh286LKddxTvfEFyWCb674kJMitp1RfvHG9KkpC5ydOiLjtp/y9/Q/r1JuKxTR5GmZpYebUm6TBHSBTMxXuxjgDx9KuZqz2v5AQrxE97eMTrnvKs9/eDjltpzsdGcvp9wv6t1nD2TclvMp98tznfvTjZ7AH9H9lJj2lRPqgRam3P7mjJupkPA1Kudbe8TAkJB/duHpyWUhghySbqB4Crinsr7xdNr97bbr7qKUyWIxywYx2POHMu7n56XcDJVdp20aPiQmrRaj/dqLGfeVpQpBlzLaJOVy+WrKrVRvW6hyrokBPz3bua9sdm7OiJT7Z4KvRgqnUopqqco9QI8oxfK1lWl3UmEMKLR/OjvtvvKmXgyxUQHGPP4GrSXCxwS1dY9w9OohKROEVZ3I7693bpmGKh8RntDxRifh+2eF600nEVIpZ9HyPYlC9d5n5ktJ7Oo0mptC0e20htUo/QYJdoN4akdjSv1Wxv3skpT7zk7PN93liQdLS1Rxm+53pbnjU+5jMzLuP27RDbnF/x+rUu4lwTxHSj+dzrgm0finK1Pur/Y6V6f3/hfBelKdxAzRdZEU5X/X/T+QQjut+nc0SqGIt/MxCYU5mmAUMdRTIsKzNZ2upi3lVsgMnqie+YyslFRKPfkJ5946Is0v5vnSmrR7Q5o+I7l64XDKHZHgXVZv9qgshz3NnbJaJHkiLMxXqO9haANZI3+wQy+ISX9aw4mfmpNy35ICet9JjFogeL7Ju3KFfmWcc3/2IW3RIMZ4UL3O70uRnZEVUSQL5M+kOEgoojcOd7ofiemc3t2v9+jZZg6Xqa52PinGXyor7MdSSq8f1gMx8QKYU2D/SpV6PP1+bVfKjdX3Fx+UhSSLZ58UpPWOVJCvSU1AIP9CQjxOlsCTs1LukQrRUPTc9ZbQK3fzGlmjlWNSvqnkF2k/XcHwM+P+763OfWqWUEpMPwpEX904AVeyTo5r2Pxfazvd15ZrTornytfZnnJ7JcSfqJayGJ42ZVYqK6RNwx/o052Ud3ax+Oui7olvLOlyv5TDzxXr4Wj4KeOGqy4UVJVo/t09siyl7CdLaT01XQplpxSOFBogfkb8MUe0cyM6Lf/bGoI9t1+lhrK7qsiXr9xVKKLNOBGjsjTjfl3K4ooQzKYye9RLvSQtjnfgYTEXJuUeCeMItQR6tokZj0iRYFYS51CsLky3vSXBhWhHrwYjVaqX+fcfSrmzKm+EmLKcqE3df0/yxXnm4yF5VBblMOQwhuOelB7wNMniKZFimFiUcoUq98wlX8BVfXfIgglMfgolIjiZ3P13sjhmSBFd0Hh9mr7HiCHHa7hU36ICO/WOGJLekwQDzpel869Weqa9JMWYoeI+gbdX8u5fvRTwr6/T/MZRWXxSsE9JsXxuZqf7ZqOaIpxhyVkC78Lxbz9WIKXT6R6aoMlaWXIoo0/OTLsfalhjcyDKNmxcyv3L1Wn3goJTf0FW6lx1TlNl2WIFY61+/vlO95VVaTdB1s5393Rq/qbANV1SRSrCEnWJz56a4dyz9bqGdiG1MMTudI+Jdg9Ml3WizuW6eGSJOoVRouUV5YWmbNkxe4y273i8wNhmmMo0PlBeij8BT4iHu+sM5efJd+4qFEH2zEzn1olwL9dnHHR9fJqIJQK9pHkRjlFm7gQ5wsQN6Tr3+K0P9/mckhCPlLVjKwJ6PkGK5LwU1G8+IAtHPdU3djn3hMbfX1gGSftODVdSbryYlDkRk12Nf6vHp91WWSHUha4aJfO1VUquUmNmFMO5jpTBuVoKYJN6rVViYHbcIqEQdcvSQikHTO9fflPACa4/f1xjbT1r0lYP80rTrl4KCthnqvxGlb9PdWY01/Jv1+o+IGto5DSsy1cm9Fjo+k971NavaP5ikhTtPg13Tmto13Il7eWX54lkP2VBtEipVooeX7jfuQoJ9Sgp86dnd7q3pIDGakjRLoa5rl6kWXRZI6v1fn1ml3o6PCYr+BXNn31JqzstV7UtwGZNgMvqHS4cf0fWRDdeqUx8NE/zNGe3CvdJhSLS7RUNFojGD0nh/MmmTrd4Qlp7/8gSktXUhkUjRcU7v7G4wL0uhfM34uunpCwflkIjwRPX9emuz+7m17+cVijjRbwfHJbFwWSp/v5Wmvt3ZbEgROdkop5Fe0AAEemMeu8GPccqCYRukVQ2tivLBfX86uG/pHHraT2fqZ6qXmbz6/VavdFM/8/NybgpInaT8iLQTSq7TQzaTVjVcURzIOe1cvBlKR16lKlSSheuaPXhKACIz6RRPl8thlQ91VIg3xLDNeid5w5q+CJltUBMPkGTjNe7mPC8TGTgc7Jw9gj2dsH+y2LsTj2/JBiAe9f+jPulBbJ0ZDl16D7W1jlZOd870ul+Z2yB+9VFAlf3ywTLn2zwcBgw+fyPZgj3P5KwfUHzF88sUBs7026bJim/XS/Cd2nhC8pTpwnOc8Kb0/zEh/9OiPBy6X5DNPrwrLQsHPGHaPQ7TxTI2itwX3ih0z3yHeWjDuX9A1m+4PZ3N+peq+gq3H52Udo9NBOLV0rmkHN/Jxp084FeY67tqPjJhiSUE5Kqek3DlU9olWnrCd3UHN4uDdMOalL9l6rEr/o9UQrytQbntmky9wkptF+UZTVJtLssesOzp9RZtMJ3eZyyumMbGvjNw53uQ98U9oXAWyb1UuMk+M0SSqee2pJ68XGa/GrWpFmJhLONnhsCSPGM1/0m9QLjdL+Z5V4YTQS0D2ZyuXomLAcJfA2KA2HW9TyZxwyXjkiosTLO8i49iZ4xH2LWiL4wdfFDWa4yMKdRHFvEMISQY7W8/Utp96l/0CSbLJdW1b2fFQClZbKoigXfRbX3mva+/PIDUgT/qParLCtfPSbwlwv+mar3vNp6Wu+3SeGwClUi5bRQPSymcKsYr5nhHPBLEFbqGTjdpuGBg8lvh1NlyZskWjsp4V+U4LFa9wKreOAa4SMJJw+qd39HQmx47FImplRE63kjNZnNSpuIWimhFsbdEVm2xhe8r/tjob2+T0FHMojGy1UflhE0XM/74otuvCrvbz2RVieRcfuAR3/dSc+wrP4vTc7/pVamdvIuSXRilQcLdK9o1AZ/KVWLL+Cjk6Jlg6wilsMniwdOwe/w3Z0kKaRXfyXtnqhM37hgcCfv3qM8iEluJimKZiwTCB2SiNwM8ZVM4PylKZUmmcakZvUy9g4/ETw+XGul5F0Ej9T1BfPVdFkY/kHXM+V9T0JYmyW8EBzmpYzwEYwwIBOvZ1BeJOCWoqiQ4nhKk6hYRssnp93z9HjK686SSYl8autZtevsGbvj/3WV3abhzcZQJk+4TxJzbmEJndSV1/8YJP/Bkejw1+CbhCJJ8oKUyzussoR7XdkMF3qvhuVZnolW9Qg3z8NHlzy7IJxb8dwnqc5tsoy6E+8nfnJ9TRp837mugrsz6kIK7o8elPUiHthJ3bzHRwqpJrEaFO4fRCGF1HV5CoWX5yl3LZR8QqwUhykZhCDJE/RaepYSs62Rabtdu2tdbhGHY1Ul8+lnTDfBAMqblAv4AhZZBZaCpdT10+bnRghIDYvNoqEDutcwRwslYH+QfaNI+kp0ZDLXM7IwNtg8kJjtXjNZX3Dk871cwhew9FYkAbcMkTWXM9TpSx8aUzYwADPmknBko81DrY5IX5tqHGpkz357I6NlH+exxgHBQLRQBgTtsdKIgf7DAE6auZKyqlBodzEu76wt5RAScoUYEY6IgTvGAPIjOcqlQ76APasKBSWCI9E8+QVkueY7plPMGDGQFxiQ5M6Wh/Vk+V3lUt+cVYVCw8vkcPRrCsqyLQRyCRN5wUURyIgBYQC5kRPkry33YSQEGeZKyrpjG1Gyn5Y7+Zm2tPujjVpXxQuW5dWYIgYiBm6PAUwAedj+GwWTfmahYtTwKM6hlFXHNtqd0YoHAVC4ru+UZ+APFMZ9qEl65Wbr+zmErAhKxMBAYmCYun8CGj+1OO2WKeyA6HumJHPJQsm6QgkEYYc0tiRAkeDOHFdWA2bid8RA3xhgZFOoJR32WRmegxOyQD1gCqVvlMW7EQMRA/mMgaxOyuYzoiLsEQMRA7fHQFQot8dRzBExEDFwhxjI+ipPEi52/L6mDXMybAQbU8RAxMBtMZDSEQCF2vzJ9sy9be7sZxgQheIVSafr6LhmCiX7zY41RgzkLwZQKIXarHiYDg/KNcUyIArlmnYYvnL1mrvevdNw/hI3Qh4xkG0MdGi3QXY/RZmgVHIpZX0OBesEy6TTdpPOJVREWCIG8gcDGW26jRwhT7mUsq5QrsvnBAslx/CQSzSJsEQM3BYDyA9yhDzlUsq6QqHxUZnkEgtEWPIVA7koR1lXKHFBJ1/ZN8KdixjINXnKukLJRaJEmCIGIgb6BwNRofQPHmMpEQMRA8JAVCiRDSIGIgb6DQNRofQbKmNBEQMRAwPi2HYnaGcG2w6OVmb2e2Dfh5CCP1yB1GHidnh8y++wyMZ7l+T2f1ln6ozTYePJcnRiqGvX8ZAcuF14C5ULfKzayXHRYKRi7gF7tvap4MD4izq/d8zwW8N6S6Tk0EPac1anPcrNwk3UrmRJ3EL3TiEXhy42Zk7yBHhnCZX3eUaYP7SDrjxjiwy++T2s61nvZkO3y8pEvlHDyHnvkqqwY1U4qvmKKiwSrMCVS3ub3E3rbyEud1Nc/73TIQZ451jK/bCGPVOI9/FlQ+xdp1Pur7b5c325y7PwCRCQ3T7hmX7z7hkdCdqk40q5rm9OuT/dUGBeh+F93jmqc2a/tTvtrgoGfoeUvOYecL18UOcOc+ZuV0JJPSeYz6sO8ttH/6z8kKn3/cTz7vx95Um+r4y0oU2KjzZc0M53oY7QlkT2nL+k3VfVoOPC/f+3M+X+YmvKbWhIGQ1QEgjdpuPO/ad3C9x3d6dMQYRGIZRndRb03+9JuX/zWoH76hsF7i0drB7eOy76fEPv/carBe5PfpJ2+3UMLM/AUzKBz72NKbf28I3KJOCzG796ibzJ17m2e73v87vrQ11cwyPH1E6UF7zz/X1pd0qHtdMOnudzylmFckkbL73d4NyfbU5LCXQhW5i+JiL86Ya0+7YEnh4JAkBIFJARRHn4jSMuH+7xjGsY9nt70u6lA3pX98/p2MhdOtUPxUE+7unSdpPbezbtLnWk7L3AEFamnuvP0kWdFPfD+rRr4EDtrnTxSso9e4gDvr3C4x3qpw6uA8NwTY9LvaFuK7/rHtfAEuCnDH6TQpvpdYFhp9rAZlXWbuUhL59Ql38rt//TtsMXUu7jzxa4P9iadn8qIXvmxbT76+1pdQDO/b3o/blXCty/25J2zx5IiTY97YGu/31X2v2v7xS4Flk3W0+l3P/0RtqUCoL6xR+n3ddUjruWcj86knb/+rW06vK47SkF/GXc63Vp20g93A+4TtLQ066Lnl0Z7Z7ggF60hQQ9+A3teZ/ffNefT7n/XYrvgviv5XLKHVbH1qwOAaVJfv3lbcrZIQ9EYVe3Ep0N/HyNNrZeLVdj/T5wLu1Oq/e/fF3CrjyN0vA/OaJT6y+mXVlJxq25L+NKh2fcszXaJm9Sxm05LjNSpuSTszKW552GtIYHGW2hd93KbxFjvlKbdsfOO1dVlnGPVyKIvnfbeSblzsqi+dQ8hDnj1h9Lu7Haw3P5lIyZ2zARvQxMEBJK4rIYl/znxNzPi/nHFzt38kLajR+dcU9WdLpx2rpv++m023TUuZGCZeIoRZCK31dM6XT/Q4JRWaozkKXMVk3PqDdNuYONeq6QjTUzOt28CRlZPyn3hnrgi5fTbn+6QdgAACCeSURBVNxI/ZbyosdtvqyD1WXV1Z8vcMVFGfdYRcbdNzbjhifHBgHQHPtGcLEMTooevyZ8Tx/nBW/bmbR7evZ168H/xdyM+xNZJ/DF9c4eK4Jh6/+5I+1+Znqn++0HdQC6thf98PcL3f/YL7pLGa1tSrs/XnPdPTEz4946mnK/LYW1/aRz00UPhhkkSAjtdugA9c8v5Ze/3yIL8DuiyTgNKRvVccBfzcL/AXU404Tbh/W7qEAHpIueu/URGY1uSyZ1uj2i20Ed3N4mpd8uGi0W30wd49x6wVArhfaDfSm3YJKG14J/o/j09dqUeNi5R0W3aco3jMLyLOUuyKIpZH1YQvWqhKdVB4yD+B/XOffkDD9nQa/8fRFlu4ZAleM7XaMsmW+LWRjK/KWU0IsHU65cSma3zNiXdM3WeSOHZdxoCRubZaO0TqmHOK/eYdxIWUPq/RrbU1YvdCT/X4mBLysYq1n53pDiahSDJhNlAGdIXIsv7R8963/ZKWWlnneqmO8fD6bdd2UhoST+ZpfG+FKWY6VsUDpvHfFzB3+1N+U2nZDyGSFlqfZsPJFyU/Ruq2B4QZYV1tpfCM6NyjNZAkFZO6X0mPd5W4z6Cj3sqIy7JHx9Y2NaCrFH8AKMufgN3jgSAkF+WUOdGrXrQ1K+X3vsuhsrpfvzSzrdT89VI0U/UhLn0AD5vyj+QNk0iYYu1emOSaFD205laEHpqhNC8dIRvCFLhQ4pJK4bRKdpgiF51k2rlMF/E83oHIrFM/9Wls9WKaNJozrdDw9o+K1OZ+tJWVJSaOU6LD0txf+H6wrcUZW1T5bjd/YogE/3xunZN7eJ3y6m3DjRnLmSSaOZ64HuKau7YnzGHVLH9g/iAYay+Zhy1kIJyJwiTb1isnOv1aXcvHL19DJhH72v0z1fVyBT2JuMH67KuOWTM25OeaeErUAmpCbsVMCn50vTS+iKCjpF9AKZstfdzDEZN0G9APfrRfSJxRn3M8rXJgF84bDrnoug/klSRhVjU27LqbRZStfEsFUS7q5OjSy3TGkxy+yxzn1CPesEWRJYUP9xk3Yq10zjHPXACAiKTcawMSVMzUTz5xZ3uqmC74oEYM1UP6eDQqOnaxJjvyrF9sdPdbqlkzvdzNKUe0HCcUnPdsjUb5N1dFp5YNRD6gVh7Glqc64ncLp6Wqf7swekODWMXC9F+s7pAveMrIovPXDdlQt/rbLaSP5/T4uKpZh/d0WnCf6X3xCeCzNusfgGL9IlEzPuV2Sdfl0dw3opgjIpp1Jxfbtwm0zMh/29FMczognlhYTg3ydafHxORpZmxv2nHYJJ9JwpPtghC6TlSqfbdKzALVU9PzWvUxPkGkaLDlsFP/SEd5+S1Uv7UDwM0+eV6fiL4pTxLNZlqcp9enbGzS/PuLFaIHhZlgpWbj4msV1up5FiDgT+R4fouVNeMHW2DwJzTb0RCdOwSEzCxr0QDstlWEqMJSaEOcaKeEwo0JNh/afTENiv7IzSOyOVB7OVchi+BPGjZ/nnEu5vbJYp3prRHhQMT7TK4KuV8OsdFciKBON4TGZ6SIsA7cJsQbrTjVA5lDVWQx3mhtiYG3jpCfkAN3UKRDOZ2c2cIc66I869eTjlRug5B6SR95pM/Ta9P0KwFKnuUco7QnXBvNclJCiuyYJxipTILyzKqCcNrekCOoe/DmluAavwmapO97MS4Bmi83ckXEZPtRWaWxIBaC84x+LAJPyIlMbXHrru/mcJ+2cXaXsMKZ8xskSnyAr45aWd7r8+et09I6F94j7nxquOpRM6u+lImdpNw/34WMot0pCyKNFjQOthovMI8UiJhj2sxkCvEUUpoz80Z/6jRIqKoSU8VCIrKszxFIuvoN9wfasfsVSoa/iCamgSw3re4UgM2m+0zB+y+UZ1/Q8kuuFmrvwwYkqIZoxRT65lvNc19Kkq9QQC8HEaFjCUZlXmgnrwIxrqNKnHmDLaU47exX96qIPV0KoxNszIXZ+zp8U9OWEC5+aLwWrU0+/RWH6NxsAogpCK9Xy6TNlNGv+y1HlBcxibGnSGmXbVKpHAo2iOy8Q9cE4mt5ju+f0pN2uMLK0JfqXqwLmUVjVSbp3mZlrUI4W6gRkG3606l2ge6H4N+6ZgsegeFky1esfNUq7UxxzRTpnMMOx0zb3A/PTKzPOgcIExHxJtPyLL8l+s16SrhrEHmzLu8EVZAuq9uxVJoiEILBbFNzenTcH+h58UuP9Hw10skP2aZzsgnKySRQve/7WGKX+jIck0LUNvkvVwSHNwa4RTeCEk6LBAViOKAxy/NwXq3PgE/nlAFjP0aBQPNGr4uV2rSAtEAyunF4Pxk86lXbRskVWM8oAJjU9D0b3eCbfz4TshHrkFLmeQTFcvW665jSIR+SPqtX5yXAI2Ba2ecQsxD8VsmJPfEwMeVe8GgZ6p7nRVGosuHJ92w8UY9Aqj1YszgUZPsUSTsS/UFtr4lh5s7nhvqUDk6nHKq16CMXa1mAshhdC/MFcTe6ec+9WVPZN4YGu44Pr8koz71raU+88bNRGq8hmz/7ysmlIpu1YxDRbJaxqerT/iXJ0E5DfXdNoQhPmRv9TyaLmsJ1UpRSVrSjAs1rCtCMtHZT0uc/97NUyyyiqRAFWO63Sj1ZP9bw869992aGjTViArJeM+LZwwF/PIDE0gavL377omLhdP7JQJ3cWxuUXe90CDDH1kluZMNMn+rIY8R6TEH52acf9yuR+C8Byr7GNSxveJJ6DLMQnvUc05/Jzo/Ksrrrv/V8PdP9YHS+9XxAe/pHexGL6wIOO+LR753bfTGm5mNEGbsfNthlFIV3pNndWn5vUSbD0Dv9UaVtK5kH2p+I55uLS0APw5sSTlZooup1sL3J9v0sqN5j7+yWx1RMp3QcNQegmUPIkJcqzUyRr6zh7PYkPafajKD8tHiQnwr2F+b6aGa9SXjynrx2h0yEZtb5eJcJuEKctE2AhMQVknHAzGKk+ZmOmKJiibZJHMEOJZZUE4mawsk/Aw98Cw5Zx6KEz/tOzKyyJyu0xgzFLKuKBxK4xFD8KkG+WwtMcEZqmGDDABKynjdc29b2gSdILK/pLG9wkeNIuCHuZ8e0Y9atqGPDAZ1gTDESbY/nB9yn1pNcMkGFCWlhiK5q89woRxyiYc3xQzozD++XIP31SZ6fSejLcb1HMyfzJBTCg0uNFSoiTmj5h8ZG6BCdmpDG30nPtnNM9UrPbNkFLEfO+rh78N+gfkMcOHNtEWXxBW8ZZIIaLgg8NXuwjLpCbtoTOBxgwbwA104Vltkz9Nb4EUM0NdlAu0rZU1yBLyePHPbFlyozV8EYksQcMvv6xl5/s7XYU6FZRQSOCW1R0m98El/iPgfISIcU4KLa2hNTRlfuuI5qvohJifY3jUdkWrkbI8qZOE9UInxnCJ1UOGShNV7lWZ2aN0v1i9H3M5WNsM1+9kdW7kyOHatS0BsK9qwP7nrEKBESA0jAK6UBJco7i5j/BgfXBt/ij+lpSEZyL99AyjPMydkPiiXN2yxG+uYVDK4RlMJh6yd/Dz+AeZ1QylPr9ME6CaYO2dKANBIC+J94EBRj8jRnxOw5xPz4eBYT5vDV2SgvuBLI+9mtSjrgliuCcr/ZLwcDXKOifgUJHJttn7ug+c1GZeo/qmZwMXAe5w3+Cw5/qXB4l2QWf8MdQcm58yfPJDCRqBE37qyz5c20f/oAG0APe03eRMGdWHqCPxQ1xdmoKC5rxHovN6p0HLuppXGSMlFBQNz4CJeo33qINr3ScP93nOM5/Pw230UPnAygfakEI5wAeczLXR4XU9NrhpFHVYG8ID/3qf/6NCuUMLpU/sZfkm8yxYMDDLSHqWwBl3CAeMynxNid7FYiGpKGOyCxrHt1C2fo/U8GaMelwmeN9nFRQ56BI4uQNZ6rd2Q18czkjBGuq3wu9xQVGh5JFCMRbzfGZsQU/0fhPMinT0ftV6t67CeEaP1DvP+60r5r97DAQy5xsNck2hqG+M6WYYMOb6gBx2MyWUNKtvVn+8nz0MfEAyZw/QHK+J6YmYIgYiBiIG+gUDUaH0CxpjIREDEQNgIOsKRT5fNise0R8xEDHwwTDAcBp5yqWUdXBsKbNvV8RcwkuEJWIg5zGQlhwhT7mUsq5QWMsoklsq6+8xRQxEDNwdBpAf5CjX1gazvsqDmRbOY70qt1WOJLWl1bvDa3wrYmBIYQD5SWuJsEixGf6w9NxqftY9ZUPz8RJEkVyXQ0ZGceZRqQTMxO+Igb4xYHMmmjQpkELx17ln5Q+YQgko84okuBWFu/E7YiBioG8MeGXS97OBv5v1IU/vJqNpc20c2BvG+DtiIGLgzjAwAJOydwZYzBUxEDGQfxiICiX/aBYhjhjIWQxEhZKzpImARQzkHwaiQsk/mkWIIwZyFgNRoeQsaSJgEQP5h4GoUPKPZhHiiIGcxUBUKDlLmghYxED+YSAqlPyjWYQ4YiBnMRAVSs6SJgIWMZB/GIgKJf9oFiGOGMhZDESFkrOkiYBFDOQfBgY8lifbKItRzXeHcR9zdXfv9n5rsNGgP3HTG1f59ntIKBQYmC0S2Crhmg78ZeuErmNY8o1eWYeXfbDYzKegoECf9F1vjAXOObTsuvB/nbNelfKdBuCGQ73YTqBQp9tzzWcopwHfvuBeI79TXHvt2jV3VecBdXIYjh2tda9rHWzleyEp1ClkCI7f2OfOBAdFck3H5KHI+Ua5Dz4a6KRIbZ5WKKVbVMRuhEN3JmFQKxSY+cqVDsd5yiiWmD44BrBWOEt3uE6Kv11vDP47tCvflat+Z74PXntulwA+ULrFxcOGrFIZtAoFZr582SsTrmPqPwwgOEVFt1cqV69ek0K/ZkPMoUICRjxsHj1yxNBUKoPSNkOBXFWviGUSlUn/KZJQEjgFt+D4ZqmzU887rpllmI/KhDm3u0m0lX2SgyK9mzLy+Z1Bq1A6NG8yFJQJjN/R0ZF1HmQIef26hjJ9DCURKqwTP2d156DRlkuX2kW3Wwsz7b169eqdF6yc5L9duaFA8l25clVte6/C5Bn136os2u/njW7djlDfYPoelKs8jNv74IUb6AazHDp0SAx8yca7paWlbsKEiZof6EFJKnGKEgzEb95ra293HWLQcePG6d2CbuYK+X2P7JmJe4H5wnMAuXb9mjtcX69h2WUrd+zYMW7ixElWf8gX3guA977Pb2DZv3+/W7RwkYYhzGv09BHh/d73bveb+pJ5Qv29v1k1Y8UGHNyYvAXj8XDjk/AL2C5cuOBaW1vd5ClTdL5M2oR49+7dbsmSpdaWkDd8AxPvnTh5wvA/ZepUd/XKFTd6zBhNiBb2iWfehWZbt25x8+cvcGPHjrXfdXV1Rns6HYZwY3R/2rRpBgcTyPDG9OnT3Zgxo0P19t0hq6umZp+rnDXLjSopuSmeKJdy/OrPDUUM6h893DdImgkT02vezjrpVMZdu3YZU7W1tbk9e/a4s2cb1ftcM0aH2RF6GJje7fz58xLeNnt+6FCd2yXGb21tM+a8eLHVnWtqsvy809beasLBO/zmebimPBLLpwjPxYsX9WlxO3butPrJSw/Ip1VwwZR8ozha21qtPK6p74qECYV4qLbWtQu25uZmgxUB4n3y8C6/gaOlpcXyhB6W932eVstDPvJTTshzK7YAxwxteuOa5eHe93qXc13vnT171tVKcBkikICxpGRUdxuBBbwFmmC9gA+UT4EUyMkTJ9xu0a1VOOTdduGC9gB7wAFt5n7N/hrXJvyBf5TgNVlX7cLjvn37DC/X9A7tRsFDj+Li4TYXQjvAN3DwrONahzt8+IjwfvmWbYQPPQ50MYRST3c8aBp95wTEZKcXGl5cbAqlRYx57Ngx19DQIEuhyM2aVelmz652zz//nPVsMEhFZaWrO1TrLkqZjBo12hUPH269WYGWU7leuXKl27ZtuxiwSc9HuftmznS1EngUSOn4Urfm/jVaIRnuhVzDsmmqf+TIEa5502a90+y2bN3qVq9abYyPwlm2fLnbsGGDCd3UqVPMKtq2bZsrUdkjR4x0M1X+VQnDT95+2yEUU9TbV1dXu7ffead7pWHhwoUmEFhExWrrhIkT3Sy1Y9269SY09NBLlyyRMml3Nfv2Cp6RqqdUlsISy38r1uhryBMUxK3e4xlCjaWHUiLxHr0/1lpNTY0pbJRoeVm5Cf9wCfmDDzzgGqWIzktxYLE0HG+wodfcOXPctu3brSyWbx959FF3RIJ/4MB+VzhsmOphmOJ5A6uhsqLSFMipU6ddRUWF0fKll1402sATKBHoi9Jdt3atWWGjRpW45aJHX0rUGtDrn/Sq1Ql+h0oadBbK+yEcDIZlsmWzhLnpvBteVOz27t3rFi5aJMGc7E6oB0Qx0MNNnz5DgjrHMTSaKlO7VMOdafo+LoZepPyPPPyIa1IZDQ3H3aXLl0wYV0i5HDl82JWNH2+/jx49qp6tvRtE6j9z5oyrr6tX79kmZi5yV9QLXldvyxwQ91ASmPUz7pvh5s6d5+qlFObPn2+CNX36NFNMlLNCjA4cLS0XzWpZIPN+oYZBI4pHunPnmtzZxkZTcLNnz3ZTJk929YKL9+bNnas8xe6MnjedOysLocRVVVXJ/J/aDee9uMggbUrAEBJWBQKMRYLv0OLFi22Ywr1HH3u0e1gEPlAmEyaUu/HgVvlOnT7thhUW2tAP6/L0qZNS5IdsaPLYo49ZFaEu3qUDYDWGT2HhMHuOtffQQw8bnlF00AFrCMVKx9IoHF2VYhLUAeTbfnc187b5BkuGQWih3DlpYDDmQWBAxsrjxo2x3qdBVsqwoiI3evRo693o/RoajpmAL126zHuNiiExn6+I8Qo178L8Bb8vi9kplzE5PSVzBCgHnJ2mynpIJvI1y5TGklm2bJkJB/dg2mCy0xvybqkshpR8QOjVR4wYYZ+xgh0znOfMI1AP72GeHzx4UBZRmSnEkpKR1gufOHlSCnSvG1c6TgKZsl6YeyQUCXNIhw/Xu32yDoBp9Ogxt7VQku252+vrgpkhEG3lGxwUSjkYXrtwO0pDIdqJkAeLhmEPOOb+ZQ1BUKanT59SOyYIT+DxipTMMGtDX1YC9+wjvEI78As/MHyiDj7Hjx93dXX1BgsKnnzvJ6nIIZUGoUK5cwrCtDNmzLBJwRqNpZubL9hvhkKF6oTGjh2nIx+LbJ6jWEKM8oAB6RXr6urU8591kzR8qJXwHpP1wTBk8qSJsgbOGJMztJkpc/qcTHTeRWi5R7JeUsIwb948V14+oVtYJk6a5PZq2FEkMx2Gpj4mPelJEY77BO/+AwfdyVOnTJgmTZpsvSj5/NxCgb1HDz9MSg/FmFY9DNGwdhhekRfrquncOQ3FOk1pjhxZYsOKa7IORqqtwYK4nTT0dUY1sN4uIbzUcU4wbHx3o8E5W5YRbTDLQW22a9que8DscYH7v7cw6ARYjWEeZuLECe5883nDM20uKxtvk6xHjh4xpc47fEJKg1c+XWUbjlWXx2NPndANJV08vMQViXbkS6V8vlDWzb5RJpQ3lNKgdGxjyRKnNnV0N030NKdPn3GjRo+yFYKLrRfNZKaXb5HFgsCP15wHk4T0epjd9IjlMrNh9NMysZm4GzGiREMdTchqsm7MmLFSKiWaJGy1oRFmdZsEGYsB5TBGcwNjlWeYlAUTvSik0tLxNtShPnpGJhgxrakLZkd5MXk4WsKDcrvacdU1nmm0+mwORzDQc7JCxDNgZ56E+SAEtkBKc8SIYuv1gYseHstmtOYHqB8zn/xjZQFlBCNtAVaUH8O7IgnnzRLKBK/Q3isZWBitrVdUzs0JgJAyAd0o5UuivbS1VXQAvgAXShCalJeV2YQrsPIMQR0jC+rs2UazaoD1giZVoRM0w9JgeEkngYICF9AOS4dE/eTFqmHlB35AuTGcZeIXmkFL5nWYPIYW8BOKCnowx+S9hXuUlBWc+Dd8eEFXnqGjVAalQkEg2troWW7O0IGp+IY5EQK7l9BC9GA8wwwnmYCKOZP3yMOKUUj8JpGHRLnheSgP5QED84x8/PZ5/T3yUxeJnjy8Zzf0L8ATfief937m8wCLL6+vNpAnlJF8H8UZYPPl3PgfF/ziYllAdMW9EiEP3rmr14Oun6H9IVCQdpI8HODNZwQX3MMyCO+Ee+Au4Jc8STz7t6U4QkFdZVNOSCgVUiiH62Q9/CZRBni7EcYeuvlcN/73yrZIncfNFc6NbwyOX4NSocBk+KJcvjw0nNsGghURmOHDC7v8Zt4LAUq9/VKHDane+3Rw35FuE1606ifrLXQsg7vFPa0blOoTIkJQ4k0gbkz9i4EgMD7quO+yGSIML2LYNvQIUFhInFPhkFMmcMKgtFACizPkYT7FPGdvM/wJ78TvW2MABUGIPh7Ft1MWwVK8KmuRyd/BnnxH5pUJCnUopkGtUCAoSoVJNpiaCbbEkHoo0vuu24xVQs+LIuH7Tk15lAqesx1din0w4h/cgI+gaLnm3lBMg16hQFSYGkb2sScEtA3+3rK/mBnhwBIp1GS0Xw5+/8LilYh3xw/WIjQZDAn8sMrFbnYoEX4P5TQkFEog8GBh4tCebH9/UGEJiiXbcGejvg+Km2zAmI06hpRCyQZCYx0RA0MZA0Nz5mgoUzy2PWLgHmIgKpR7iNxYdMTAUMNAVChDjeKxvRED9xADgzA48B5iKwtF+xWpsALiV1QGesIvrIolfSvCBDcTrX2tblzTEj0+bcl3soC+WMUAYyAqlAEmQLJ6hLSx8axtX0DcCnE0RNSOVgDjQCkVYCKIrr39sgLjSg1c7rEtw4ULF+03+7gQNBeUB88vaqc07rNZU0xDBwNRoeQYrdmDhehhBLa0dIwJJVsR8CHaGF8Qv0Ez/g4+uBALQjJs/hBsvcA2BxZhq5vkRdCJcA5KCYFnE+WODu0Xovts40D5lMP7RPTyDlspsj0AkdRE+DrXo1Da2/ntFHU71qJxKbNU+6wEa4ZtGvBfoQzKJ3FdoOA8tlGUXSNHMA8TdfNseNFwv+eLHBFxoAvvJGG3m/FfzmIgKpQcIw17eRRpGwIcpejh2b3syJGjFtVbJIGbpP1W9u8/aBssIcAoH8L72WFsmJ6jZNi5jO0iT548ZdtD0sTp2oENRUH6/9s7u502YiAKRxU/FaECJYWbqr3gnjfgKeD5eBvgOSgSLULkgrSVWlWlnc+ulaQtgqLNykafpWgTx2vPnlmfjA17BpK5vPyYJjzvkY1EtgDygIjQYkEN7fLDxyTVAJkguFQKT95CINgIKaCxAgESyXwJGUmile/pGlYSwUA6tL+6uo5oaxiSAtOoD0nMkBxAhwXVOuyGWN6FMh1RGvom9Efbt2/flKE9Vo6AhFKRg4gg2HfgWER8PsSkhjjW118mrRDEkdE0QaKRCZ20UEKhjDq0P1BuR4aSyYmEABMYfdz5x/bpfzTaTlFNEnEOfQ8iCyYx0QRyiujbvgoSgQx4z+SeL7RHLQ5hZyY92jFELailbYfuC0pwq6tEKLkdgt60IUfyaLSSCAedkfH4Z5DSWhDlTuoveCdFJ7e303RtEKOlHQT8K09lvmKDc7GQAfFrRBXf0sTLD+WhKAbp8FR1FmJKZBTLFJYU/NozMVkyEQkkJbM5QiDiQPaSI3KTRA8scegzvaJfnoEqtnCk//nC5zz+aoqGEHCmDxKHF90Q9oCQq8R+IheEnlCe58XYeXkUhv4utGd8NF4LgbHcsbSDgIRSpa9mk3c8fh2/5uxlIMwcMo+hbJafGyltMgnkCR7PkxDixP4E859oJiWsin0Rvoc4SuEp7LIXQ1u+J4qBFHiPDi0kgDLddPo51ZVzGYM2LHVQO6NtPjfX8x3kwGtzcyMps7Fkoh4bWA4h5MRn9lr4zPKMiIU6+uOay4YudZY2EPBf7yvyE5ONFxujHIk2EHDOG6axN8KTvkEobGqydHgRE5bvy0TlUliyMBmpIwJg85Vf/fVYViBJSSGlB6k3iGRyZJJ/V+iPcsdfmBg7xqEP+mK8Ei1QV8YoG67sqyBhmaOU2HiNvR94oGzC0ge204bvsKn0m+3MSbEYh8+kt2C5xSY1fVraQEBCqchPTNKbm0mQyexp6JhbUfJfcfKSAEmGbHSZZ+UztUzUIn1Z+uG8nZ1xigZoU4iL9xQm9p+FOiZ2KXwu7Yhsrq9v0leMVwrjZptmNszsyer9dDmzizMhi9n1IY1AFMbYvCAUllOWNhBwU7YiPxEhMIHKhOvOtBwdlP7myaHU/et4X2RA1LG1tZii81/nP6WOzeiNjRDVDnJCdJuIBQIsZPaUPj2nPwSMUPrD+sGRmDiUcnzwhP9o8FgSeUyXf0Y4jznn8W2IhBZbSyaLeNT8SUKp2TvaJgKNIeBuV2MO01wRqBkBCaVm72ibCDSGgITSmMM0VwRqRkBCqdk72iYCjSEgoTTmMM0VgZoRkFBq9o62iUBjCEgojTlMc0WgZgQklJq9o20i0BgCEkpjDtNcEagZAQmlZu9omwg0hoCE0pjDNFcEakZAQqnZO9omAo0hIKE05jDNFYGaEZBQavaOtolAYwhIKI05THNFoGYEJJSavaNtItAYAhJKYw7TXBGoGQEJpWbvaJsINIaAhNKYwzRXBGpGQNX7nr1Daggy6U0mk0ik9WUpgtQ9X1LvwyFaTZ7m0Wg0GEZu5JJvqHdDHPAvBCSUvyBZbgU5bU5OTgbHx8eD8/Pzhdw3yx35+fQOoezu7g6Ojo4Gh4eHKXvh87m6tq9EQunZf+T0PTs7G5yenkby8889j/58hru4eJ+ilIODAwmlIrdKKD07g8RVe3t7kclvJ3L+fkppR3s2ofnhiFCGw83B/v5+SozW/AU9owswL0/PziTdKFEK0QlHy9MQWItczeyfDCNNKQnXLXUgIKH07Aey7t39uEtpNkmCvowsgT1fUu/DEaGQpJ0XEd99KVN7N8wBBxKKN4EIiEBnCPh/KJ1BaUciIAISiveACIhAZwhIKJ1BaUciIAISiveACIhAZwhIKJ1BaUciIAISiveACIhAZwhIKJ1BaUciIAISiveACIhAZwhIKJ1BaUciIAISiveACIhAZwhIKJ1BaUciIAISiveACIhAZwhIKJ1BaUciIAK/APWs6HrBsHDWAAAAAElFTkSuQmCC
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
[[Советы по написанию документальной литературы]] - это гугл транслейт этой ссылки
https://slatestarcodex.com/2016/02/20/writing-advice/
Люди просили меня дать совет по написанию документальной литературы в Интернете, поэтому вот несколько советов:
1. Разделите вещи на небольшие части.
Никто не любит стены из текста. К этому моменту большинство людей знают, что у вас должны быть короткие, приятные абзацы с переносами строк между ними. Чем короче, тем лучше. Если вы когда-нибудь сомневаетесь, стоит ли заканчивать абзац и добавлять разрыв строки, ошибитесь в сторону «да».
Как только вы поймете этот принцип, вы сможете обобщить его на другие аспекты вашего письма. Например, я позаимствовал стиль «Последнего психиатра» - разрывы разделов - жирные заголовки с надписью I. , II. , III. и т. д. Теперь вместо простых разрывов абзаца у вас есть две формы разрыва - разрыв абзаца и разрыв раздела. В некоторых из моих самых длинных постов, в том числе в Anti-Reactionary FAQ и Meditations on Moloch , я добавляю третий уровень перерыва - в первом случае - уровень надраздела крупным шрифтом, во втором - уровень подраздела с подчеркнутым Первым, Во-вторых, и т. Д. Опять же, если вы когда-нибудь спорите о большем количестве перерывов, а не о меньшем количестве перерывов, ошибитесь в пользу «большего».
Завершение абзаца или раздела дает людям небольшой всплеск достижений и награды. Это помогает им собрать воедино основные идеи и запомнить их на будущее. Вы хотите, чтобы люди продолжали действовать - «хорошо, понимание, хорошее, еще одно понимание, хорошее, еще одно понимание, хорошее», а затем, в конечном итоге, вы можете связать все идеи воедино в понимание высокого уровня. Затем вы можете начать все сначала, пока, в конце концов, не свяжете воедино все высокоуровневые идеи. Он красивый, структурированный, с ним легко работать. Если они просто следуют извилистому потоку мыслей, куда бы он ни шел, потребуется гораздо больше умственной работы, и им станет скучно, и они уйдут.
Помните, что приманка для кликбейта разработана крупными медиа-корпорациями, оптимизирующими ее для удобства чтения, и что воплощение кликбейта - это листик. Но понимание списка применимо даже к гораздо более сложным интеллектуальным произведениям - людям гораздо приятнее читать длинную книгу, если их можно обмануть, заставив думать, что это серия мелочей.
2. Разнообразие - это изюминка жизни.
Это действительно тесно связано с последним советом. Вашему мозгу становится скучно, если ему приходится слишком долго сосредотачиваться на одном и том же. Но вы можете обойти это, сделав занятие похожим на множество разных вещей. Иногда это так же просто и глупо, как поставить римскую цифру один, римскую цифру два и т. Д. В естественные перерывы в статье, и тогда ваш мозг думает: «О, я думаю, здесь есть две разные вещи». Но в других случаях вам действительно нужно изменить опыт чтения.
Опять же, кликбейтеры - наши гуру - они вкрапляют изображения в свой контент. Изображения не всегда очень полезны, они не всегда добавляют много, но теперь это не просто стена текста. Это стена текста и изображений.
Наблюдайте за синим кружочком, пока не забудете, как вам скучно это эссе, а затем продолжайте.
Или вы можете быть более тонкими. Прервите свой поток. Включите ссылки , чтобы нескончаемый поток черного текста на белом фоне прерывался красивым синим цветом. Если вы очень отчаянные, наклонные определенные слова , чтобы имитировать напряжения нормальной речи и превратить визуальный опыт в визуально-слуховой опыт. Меняйте форму предложений согласно Гэри Провосту :
В этом предложении пять слов. Вот еще пять слов. Предложения из пяти слов подходят. Но несколько вместе становятся однообразными. Послушайте, что происходит. Писать становится скучно. Звук его гудения. Это похоже на застрявшую пластинку. Ухо требует разнообразия. А теперь послушай. Я варьирую длину предложений и создаю музыку. Музыка. Письмо поет. В нем приятный ритм, перелив, гармония. Я использую короткие предложения. И я использую предложения средней длины. А иногда, когда я уверен, что читатель отдохнул, я вовлекаю его в предложение значительной длины, предложение, которое горит энергией и строится со всей силой крещендо, барабанной дроби, грохота тарелок. - звуки, говорящие, что послушайте это, это важно.
(Цитаты - также хороший способ разнообразить процесс чтения)
Но не меняйте просто внешний вид вашего письма. Меняйте тон. Если вам удобно, переключайтесь между регистрами. Когда я говорил о СИОЗС , я упоминал исследование за исследованием за исследованием - а затем, примерно в середине, я рассказал какую-то забавную историю о том времени, когда у меня было собеседование с автором одного из исследований. Это был полный разрыв с тоном статьи, что опасно, но я надеялся, что после того, как ваш разум притупился двадцатью разными фармакологическими исследованиями подряд, быстрый от первого лица и глупый рассказ воодушевит и даст вам энергии, чтобы пробиться через еще двадцать таких исследований.
3. Держите поток идей сильным.
Я прикрываю свой поток идей множеством таких слов, как «Также», «Но», «Тем не менее», «Связано» и «Так» (когда я чувствую себя претенциозно, также «Таким образом»). Это слова, которые учитель английского в восьмом классе посоветовал вам никогда не начинать с абзаца. Ваш учитель английского в восьмом классе ошибался. Если вы пишете три абзаца, которые представляют собой три разных доказательства одного и того же вывода, который вы собираетесь представить позже, убедитесь, что ваши читатели знают это. Это может быть очень просто:
Совершенно очевидно, что X истинно, и у нас есть много сходящихся линий доказательств. Некоторые из лучших свидетельств приходят из области предсказаний. Например :
Во-первых , А
Во-вторых , B
В-третьих , C
Теперь , некоторые люди говорят , что не-А, но это совершенно неправильно. Это только выглядит как не-A, потому что P. Точно так же , хотя Q может сделать его похожим на не-B, Q нельзя доверять по ряду других причин, например R. И не-C слишком глупо, чтобы даже думать о нем. . Итак, несмотря на возражения, которые вы всегда слышите, предсказания в пользу X убедительны.
Еще больше доказательств поступает из области гаруспици. Все четыре основные гаруспические школы придерживаются X как основного принципа. Школа 1 говорит X из-за D. Школа 2 говорит X из-за E. Школа 3 говорит X из-за F. И школа 4 говорит X из-за G. Таким образом, хотя предсказания и харуспици во многом расходятся, по предмету X они в полном согласии.
Обратите внимание на подчеркнутые слова, поддерживающие структуру аргумента. Мало того, что аргумент красив и убедителен, но и заранее телеграфируется роль каждой части в целом. Например, «сейчас», которое появляется сразу после того, как C говорит что-то вроде «Сделайте шаг назад, я собираюсь сказать вам кое-что, что в противном случае могло бы быть спорным, но послушайте, что я хочу сказать». И «аналогично» сразу после P означает что-то вроде «Мы только что начали говорить о не-A, потому что P, вот еще один аргумент примерно с такой же структурой». Прежде чем вставить какие-либо факты, вы уже знаете, где они вписываются в структуру. И вы можете абстрагироваться от микроуровня и получить более широкую картину какого-либо факта, который подтверждается как предсказаниями, так и харуспицией, что было основным пунктом аргументации.
Я очень "на самом деле" злоупотребляю миром. Я пытаюсь сократить его, но не хочу останавливаться полностью. «На самом деле» - отличное структурное слово. Он отличает «Вот как все выглядит, вот что на самом деле правда». Это предложение имеет смысл даже без «фактически», но я чувствую, что «действительно» держит руки моих читателей на протяжении всего процесса и позволяет лучше определить дихотомию.
Защитите свой поток идей любой ценой. Это может показаться парадоксальным после раздела 2, в котором говорилось о том, как хорошо разрывать потоки. Это является своего рода парадоксом, и это является своего рода трудно объяснить, но это разница между «захватывающий» и «ужасно». Еда иностранной кухни может быть захватывающей, потому что она сильно отличается от вашей обычной еды; есть горячую лаву даже больше, чем обычно, но уже не весело. Поиграйте с потоком и разнообразием, но никогда не прерывайте его резким образом. И если вам нужно прервать поток, сделайте его потоком вашего предложения или потоком вашего абзаца, но не потоком идей .
Я очень беспокоюсь о том, где это, а где неуместно прерывать поток идей. Иногда я использую действительно уродливое решение - заключить весь абзац в круглые скобки, как если бы сказать: «Я действительно хотел поднять этот вопрос здесь, но помните, что на самом деле это не часть структуры этого аргумента!»
(это хороший пример мета-уровня. Я использовал здесь слово «на самом деле», и я хотел указать на него как на пример того, о чем я говорил раньше, но это нарушит ход всего этого спора о том, как вы не должны прерывать поток вещей. Итак, в соответствии с пророчеством, в круглых скобках длиной в параграфы. Я начинаю думать, что, может быть, я не лучший человек, чтобы давать советы по написанию ...)
Но иногда вам просто нужно опустить наблюдение, которое было бы интересным и полезным, но не в этой конкретной части вашего аргумента. Думаю, фраза «убей своих любимых» .
4. Узнайте, что следует и что нельзя повторять.
Многие медицинские записи, которые я читал, выглядят так:
Г-н Смит представляет в ER для оценки. Ему 24 года. Жалуется на боли в груди. Сегодня он был в душе, когда поскользнулся и упал. Он смог встать и приготовить ужин. Он говорит, что через два часа боли в груди начались. Он говорит, что никогда раньше не испытывал боли в груди. Он принял две таблетки аспирина. Он говорит, что не помогло. Он говорит, что сейчас боль 8/10. Он говорит, что это довольно плохо, но что боль слышать эти повторяющиеся структуры предложений еще хуже.
Если два предложения подряд начинаются с одного и того же слова, это звучит громоздко. Если три или четыре, это звучит странно. Если это стоит целого абзаца, люди начинают сомневаться в собственном здравомыслии и пытаются выбить себе глаза.
Контрпример: как насчет параграфа чуть выше, начинающегося с «Если два предложения…»? Я начал с «если» три раза подряд, и это звучало совсем неплохо! Как дела?
Сознательное использование параллелизма - это нормально и даже заслуживает похвалы. Обычно это предполагает использование одной и той же структуры, чтобы привлечь внимание к определенным различиям. Вы можете сказать, является ли что-то хорошим параллелизмом, произнеся это вслух. Когда я говорю вслух вышеуказанный абзац, я использую особую интонацию, особенно в тех местах, где предложения различаются (например, «два», «три или четыре», «стоимость целого абзаца»). Здесь ваш читатель знает, что вы пытаетесь сделать, и это интересно. В примере из истории болезни нет преднамеренной попытки параллелизма для сравнения и противопоставления. Вы просто делаете одно и то же снова и снова.
Но дело не только в первых словах предложений. Рассмотрим что-то вроде этого:
В Китае самое большое население из всех стран мира. Он также имеет самую большую армию. Из-за мощной военной мощи Китая некоторые его соседи боятся этого. Китай много раз заверял своих соседей в том, что он мирный, но они не были убеждены.
Для меня это звучит странно. Повторение «наибольшее население» и «наибольшее количество вооруженных сил» сделано неуклюже. Есть много способов сделать это действенным параллелизмом - например, «Китай имеет самое большое население - и самые большие вооруженные силы - в мире» или «Китай имеет самое большое население в мире; он также может похвастаться самой крупной армией »- но как бы то ни было, это звучит просто странно. Когда вы приходите к «крупнейшим вооруженным силам», тут же возникает мысленный возврат к «самой большой численности населения», но вы не знаете, почему, и это просто отвлекает.
Точно так же странно повторение «соседей». Эту проблему можно решить, изменив второе использование на «те соседи», которые, как вы знаете, повторяют «соседи» и сделали это специально. В остальном у него такая же прискорбно тупая каденция, что и в истории болезни.
Вы также можете решить обе эти проблемы, просто изменив структуру настолько, чтобы проблема исчезла. Например:
Китай - самая густонаселенная страна в мире. Он также может похвастаться крупнейшими в мире вооруженными силами, что вызвало обеспокоенность у других стран региона. Хотя Китай пытался убедить своих соседей в своих мирных намерениях, их это не убедило.
Это сложно и действительно заслуживает рассмотрения в целую книгу. Без книги все, что я могу сказать, - это понять, что любое повторение слов и структур будет выделяться вашим читателем, и убедиться, что их выделение подчеркивает вашу точку зрения, а не просто сбивает с толку.
5. Используйте микрогумор.
Вы слышали о микроагрессиях. А теперь попробуй микрогюмор. Это вещи, которые не являются шуткой в том смысле, что комик рассказывает вслух, но все же вызывают крошечный призрак улыбки на лице вашего читателя, пока он просматривает их.
Я научился этому искусству у Дэйва Барри и Скотта Адамса, которые оба пишут юмор и используют нормальный макрогюмор, но оба они дополняют промежутки между шутками микрогюмором. Лучше всего читать все, что они написали, второй вариант - послушать, как я неуклюже пытаюсь это объяснить.
Вот абзац с моей страницы «О нас»:
Темы здесь имеют тенденцию неопределенно концентрироваться вокруг этой метафилософской идеи о том, как люди оценивают аргументы в пользу своих убеждений, и особенно о том, нарушается ли этот процесс таким образом, который может обречь всех нас, а может и не обречь его.
Здесь есть пара вещей, которые можно квалифицировать как микрогюмор. Возьмем, к примеру, «особенно, нарушается ли этот процесс так, что может обречь всех нас, а может и не обречь». Это не совсем шутка. Если бы я был комиком и произнес эту фразу, вы бы не начали смеяться. Но забавно начинать с того, что звучит как довольно сухая академическая идея («как люди оценивают аргументы в пользу своих убеждений» и не нарушен ли процесс), а затем смешивать ожидания с преувеличенным (ну, может быть) предупреждением об этом. обрекая всех нас. Фраза «может или не может обречь всех нас» делает то же самое в меньшем масштабе: «может или не может» - это довольно сдержанная, осторожно звучащая фраза, тогда как «обречь всех нас», очевидно, является противоположностью сдержанности (я также вроде аналогичной конструкции «это могла быть худшая идея на свете»).
На самом деле вы можете пройти долгий путь к микрогюмору, просто используя хеджирующие слова («расплывчато», «вроде как»), преувеличения («самое худшее», «обречь всех нас»), а иногда и их сочетание.
Я думаю, что этот микрошумор действительно важен, может быть, это то, что номер один отделяет действительно приятных писателей от людей, которые технически опытны, но все еще требуют чтения. Подумайте об этом с помощью действительно упрощенной бихевиористской модели, в которой вы продолжаете делать то, что дает вам небольшие всплески вознаграждения, и прекращаете делать то, что не дает. Есть только несколько источников вознаграждения за чтение. Один из них - получение важной информации. Другой - это слышать вещи, которые поддерживают ваши внутренние группы или критикуют ваши чужие группы. И третье - возможно, самое важное - это юмор. У кого когда-нибудь были проблемы с чтением действительно веселой книги анекдотов?
Никто не может быть супер-смешным все время, и статья об экономическом кризисе, наполненная шутками в стиле «человек входит в бар», была бы резкой и странной. Но микро-юмор действительно работает. Он работает на фоновом уровне, когда люди не замечают, что он работает, и заставляет людей возвращаться к нему снова и снова.
Юмор тоже обезоруживает. Трудно ненавидеть того, кто смешит тебя. Я не имею в виду кого-то, кто шутит фанатично, оскорбляя вас, или пишет политические карикатуры о том, насколько ужасна ваша внутренняя группа. Таких людей легко ненавидеть. Я имею в виду того, кто прямо сейчас смешит тебя . Если вы можете заставить людей смеяться, бросая вызов их заветным убеждениям, у вас будет немного больше доброй воли, чем обычно.
6. Используйте конкретные примеры.
Рассмотрим следующее предложение:
В исследовании, измеряющем, определяют ли неявные отношения результат, вы должны убедиться, что неявные отношения не служат точным показателем лежащих в основе основ.
Это тезис одного из моих наиболее популярных постов « Восприятие требуемых способностей, выступающих в качестве прокси для фактических требуемых способностей» , но я не представляю его в таком виде. Вместо этого я начинаю с того, что говорю:
Представьте себе исследование со следующей методологией. Вы опрашиваете группу людей, чтобы узнать их представления о том, кто из них курильщик («97% его близких друзей согласны с тем, что Боб курит»). Затем вы соотносите эти числа с тем, кто заболевает раком легких. Ваша статистическая программа загорается, как рождественская елка, с кучей суперсильных корреляций. Вы делаете вывод «Восприятие курильщика вызывает рак легких» и придумываете теорию о том, как негативные стереотипы курильщиков вызывают стресс, подавляющий иммунную систему. СМИ сообщают, что «курение не вызывает рака, а стереотипы вызывают».
Независимо от того, поняли ли вы тезис с абстрактной версией или согласились с ним, вы (надеюсь) обнаружите, что проблемы с примером никотина интуитивно очевидны. Теперь, если я дам вам принцип «в исследовании, измеряющем, определяют ли неявные отношения результат, вы должны убедиться, что неявные отношения не служат точными заместителями для лежащих в основе фундаментальных принципов», этот принцип имеет смысл, и вы, скорее всего, согласитесь с ним. Это. Теперь мы можем перейти к более сложным проблемам, таким как собственно исследование в посте, где это не так очевидно и где многие люди думали, что они доказали, что неявное отношение определяет результат.
Если вы собираетесь изложить сложную мысль, начните с конкретного примера. Если вы собираетесь изложить очень сложную мысль, начните с множества конкретных примеров. Когда я написал « Размышления о Молохе» , вероятно, самый сложный момент, который я когда-либо пытался выразить в этом блоге, я начал с четырнадцати различных примеров, прежде чем даже попытался выразить основной принцип. Я надеялся, что читатели смогут триангулировать мою точку зрения, обнаружив, что общего у всех четырнадцати примеров, и большинство из них сделали.
Это связано с идеей, которую я постоянно подчеркиваю, а именно, что у людей редко бывают последовательные принципы метауровня. Вместо этого они будут поддерживать принцип метауровня, который поддерживает их верования на объектном уровне в любой момент. Я продолжаю приводить пример того, как, когда федеральное правительство было против геев, консерваторы говорили о насущной необходимости федерального вмешательства, а либералы настаивали на правах штатов; когда федеральное правительство стало сторонником геев, либералы говорили о насущной необходимости вмешательства со стороны федерального правительства, а консерваторы настаивали на соблюдении прав штатов.
Поэтому, если вы хотите убедить кого-то в принципе метауровня, вам нужно построить его на примерах, которые его подтверждают. И если вы хотите, чтобы этот принцип был хорошо обоснованным и стабильным в условиях рефлексивного равновесия, вам также необходимо представить примеры, которые его не подтверждают, и объяснить, почему вы не сделали из них свой принцип.
И если вы хотите убедить кого-то в том, что его принцип мета-уровня неверен, самый быстрый и эффективный способ сделать это - показать, что он доказывает слишком много , а затем предоставить ему лучший принцип, который сохраняет то, что он хочет, но не делает ». не доказывать то, чего они не хотят.
Но я хочу сказать, что все это должно быть сделано на уровне объекта, с небольшими переходами на уровень мета-уровня, которые выполняются далеко друг от друга и оправдываются широким применением на уровне объекта. В противном случае вы, скорее всего, вылетите в совершенно абстрактное и в конечном итоге будете звучать как Гегель:
Добро - это идея или единство концепции воли с конкретной волей. Абстрактное право, благополучие, субъективность сознания и случайность внешней реальности в своем независимом и раздельном существовании вытесняются в этом единстве, хотя в своей реальной сущности они содержатся в нем и сохраняются. Это единство - осознанная свобода, абсолютная конечная причина мира. Каждый этап - это собственно идея, но более ранние этапы содержат идею только в более абстрактной форме. Я как личность - это уже идея, хотя и в самой абстрактной форме. Хорошая идея - это более определенная идея; это единство концепции воли с конкретной волей. Это не что-то абстрактно правильное, но имеет реальное содержание, суть которого составляет и право, и благополучие.
Пожалуйста, не говорите так, как Гегель.
И бесплатный совет для этого: используйте такие слова, как «я» и «ты» вместо «человек» или «кто-то». Сравнивать:
«Если кто-то проведет расчеты по этой методике, результат, вероятно, будет бессмысленным».
Против:
«Если вы проведете расчеты по этой методике, вы, вероятно, получите чушь».
Думаю, второе звучит резче и конкретнее.
7. Определите, кого вы пытаетесь убедить, а затем используйте правильные племенные сигналы.
Вашим образцом для подражания в этом (и ни в чем другом) должен быть Дональд Трамп. Подумай об этом. Он поддерживает систему планирования семьи, не хочет сокращать программы льгот, осуждает Дубью и войну в Ираке, поддерживает позитивные действия, поддерживает медицинскую марихуану и т. Д. Если бы кто-то сказал вам в прошлом году, что человек с такими политическими позициями не только возглавляя предварительные республиканские выборы, но лидируя даже среди самых консервативных избирателей, можно подумать, что они сошли с ума. Остальная часть страны десятилетиями пыталась убедить консервативных республиканцев чувствовать себя более комфортно на этих позициях, и нам это с треском провалилось. Теперь Трамп просто вальсирует, и все говорят: «Да, хорошо, конечно»?
Секрет успеха Трампа в том, что большинство консервативных республиканцев на самом деле не заботятся о медицинской марихуане (или чем-то еще) как таковой. Им не все равно, потому что противодействие медицинской марихуане символизирует принадлежность к их племени, они чувствуют, что их племя преследуют, у них яростная лояльность к своему племени, и их проклинают, если они собираются поддержать кого-то, кто не использует правильные шибблеты.
Трамп бросает им кость. Он говорит такие вещи, как «нелегальные иммигранты - насильники», которые никогда не скажет ни один умеренный или либеральный, - вещи, которые их ужаснули бы. Он использует все аффекты рабочего класса . Он может не совсем доказать, что он «один из нас», но он очень эффективно доказывает, что он не просто типичный член чужой группы. Когда Трамп говорит: «Легализируйте медицинскую марихуану», они не слышат: «Я еще один либеральный анютиный глаз РИНО, который ненавидит христианские ценности и хочет, чтобы все стали хиппи, курящие рефрижераторы». Так что они слышат только что-то скучное о правилах, касающихся обезболивающих, - и кого это волнует?
Закон Трампа заключается в том, что если вы хотите убедить людей, печально известных своей невиновностью, половина дела - использовать правильные племенные сигналы, чтобы звучать так, будто вы один из них.
Например, когда я пытаюсь убедить консерваторов, я отклоняю свой сигнальный путь вправо. Я начал защиту триггерных предупрежденийс «Я много жалуюсь на движение за социальную справедливость». Затем я процитировал Иезавель и различных профессоров этнических исследований, которые выступают против предупреждений. Затем я попытался доказать, что триггерные предупреждения действительно хорошо сочетаются с сильными версиями свободы слова. На этом этапе я даже не начал спорить в пользу триггерных предупреждений, я просто создал неожиданную среду, в которой триггерные предупреждения можно рассматривать как консервативную вещь, поддерживаемую людьми, которые любят свободу слова и не любят социальную справедливость. , а противодействие выдаче предупреждений можно рассматривать как очень либеральную вещь, которую поддерживают такие люди, как Иезавель и профессора этнических исследований. Важно не то, что я убеждаю кого-либо, что триггерные предупреждения действительно правы - это сложная задача, - но что правые, читающие мои аргументы, чувствуют, что я работаю с ними, а не против них. Я не просто очередной левак, говорящий: «Поддерживайте предупреждения о срабатывании триггеров, потому что это левая вещь, и вы должны быть левыми, а все справа ужасны!»
Моя награда заключалась в том, что я видел, как кучка закоренелых антисоциальных сторонников справедливости переполняла себя ужасом от того, что на самом деле были в некотором роде убеждены, что было довольно забавно.
С другой стороны, когда я пытаюсь убедить феминисток в чем-то, я начинаю с триггерного предупреждения - отчасти потому, что я искренне верю, что это хорошая идея и эти сообщения могут запускать, но также отчасти потому, что запуск с триггерного предупреждения является племенной сигнал, который люди справа используют редко. Значит, либо я на их стороне, либо проявляю к ним необычайное уважение. Это очень похоже на то, как Трамп сказал, что нелегальные иммигранты - насильники, а чужая группа никогда бы этого не сделала.
(И это не только моя теория - я получил много гневных комментариев по поводу предупреждений о триггерах от людей, находящихся дальше меня, о том, что их использование делает меня идиотом, тупицей, куколдом или чем-то в этом роде. эти комментарии, потому что это означает, что сигнальное значение использования предупреждений триггера остается неизменным.)
Пересечение границ племенных сигналов - это, безусловно, самый важный метод убеждения, который я знаю, кроме которого ни один из других даже не заслуживает того, чтобы называться методами убеждения вообще. Но чтобы это сработало, вы должны действительно понимать сигналы и иметь хотя бы немного искреннего сочувствия к другой стороне. Вы не можете просто сказать: «ПРИВЕТ ЗДЕСЬ, ДРУЗЬЯ ЛИБЕРАЛЫ! СОЗДАЕМ ВМЕСТЕ ИНТРУЗИВНЫЕ БОЛЬШИЕ ГОСУДАРСТВЕННЫЕ АГЕНТСТВА! НО ПРЕЖДЕ ЧЕМ МЫ ХОЧУ СКАЗАТЬ ВАМ О ВТОРОЙ ПОПРАВКЕ… »
Что я думаю , означает , что , будучи в состоянии рассмотреть обе стороны вопроса рода дает сверхспособность. Это очень обнадеживает.
8. Предвидеть и снимать контраргументы.
Вот кое-что, что я заметил. Что-то вроде:
Алиса: Нам нужно вторгнуться в Сирию. Я знаю, что в таких ситуациях всегда есть риск создания вакуума власти в стиле Ирака, но угроза со стороны ИГИЛ слишком велика.
Звучит намного лучше, чем что-то вроде:
Алиса: Нам нужно вторгнуться в Сирию.
Боб: Но разве нет риска, что создаст вакуум власти в стиле Ирака?
Алиса: Угроза со стороны ИГИЛ слишком велика.
Второй вариант звучит слишком похоже на то, что Алиса на самом деле не думала о силовом вакууме, Боб позвал ее на это, и она как бы сбила его с толку касательно связанной точки. Первое больше похоже на то, что Алиса - осторожный мыслитель, взвесившая все риски и выгоды и, наконец, решившая в пользу вторжения. Это верно даже при том, что рассуждения Алисы одинаковы в обеих ситуациях.
Или как насчет этого:
Алиса: Нам нужно вторгнуться в Сирию. Я знаю, что в таких ситуациях всегда есть риск создания вакуума власти в стиле Ирака, но угроза со стороны ИГИЛ слишком велика.
Боб: Я знаю, что угроза со стороны ИГИЛ серьезна, но меня все еще беспокоит эта проблема с вакуумом власти.
Боб здесь кажется слабоватым. Давай, Боб. Алиса уже подняла вопрос о силовом вакууме! Мы с этим закончили !
Мораль этой истории в том, что вы звучите гораздо более убедительно, а ваши оппоненты - менее убедительны, если вы сами выдвигаете возможные контраргументы. Это верно независимо от того, насколько эффективны ваши контраргументы.
Также есть преимущество в видимости. Предположим, Алиса разместила свой аргумент в своем блоге. Боб цитирует ее и выкладывает контраргумент в своем блоге. Возможно, читатели блога Боба не будут читать блог Алисы, где они смогут увидеть ее контраргумент. Может быть, они даже не читают комментарии блога Боба. Если Алиса обратилась к очевидным контраргументам в своем первом посте, Боб был лишен возможности вести блог о них отдельно или, по крайней мере, потерял свои низко висящие плоды и вынужден тянуться дальше, прежде чем он найдет то, о чем он может поговорить. И если он процитирует Алису, все контраргументы против его точки зрения будут тут же для его читателей.
Это не просто хорошая риторическая практика, это хорошая эпистемическая практика. Множество аргументов в Интернете - это одни и те же десять или двадцать вопросов, раз за разом пересматриваемых раз за разом. Если вы выступаете за контроль над огнестрельным оружием, у вас нет оправдания, чтобы не осознавать, что кто-то поднимет вопрос: «Но разве оружие не спасает жизни, помогая людям в самообороне?». И в самом деле, если вы спорите в пользу контроля над огнестрельным оружием, то лучше была бы долго и трудно себе о том или нет ружей спасти жизни людей через самооборону. Если вы никогда не задумывались об этом, вам нечего высказывать свое мнение. Но если у вас естьрассмотрев и отвергнув это, вы могли бы с таким же успехом провести аудиторию через свой мыслительный процесс сейчас (и звучать более убедительно) сейчас, а не ждать, пока какой-нибудь сторонник оружия поднимет это (и вас застигнут врасплох, как Алиса во втором примере ).
Логическим завершением этого процесса является то, что вы рассматриваете все аргументы, контраргументы и контраргументы в той сфере, которую вы освещаете, никто не может с вами не согласиться, и вы, очевидно, правы. Иногда для этого требуется много текста, но лучше длинный аргумент, который будет точным и убедительным, чем короткий резкий аргумент, который может быть неправильным или неубедительным. Кроме того, к этому моменту вы усвоили все эти другие советы и, надеюсь, пишете увлекательно, чтобы ваши читатели захотели продолжать, независимо от того, сколько уровней встречных возражений вы им навязываете.
(Другой вариант здесь - просто поместить этот материал в сноски и позволить вашим читателям решить, проходить ли их через них. Очень приятно ответить на чье-то глупое возражение словами: «На самом деле, я думаю, вы обнаружите, что я опроверг это в сноске 17». . »)
Есть специальный вариант, который вам нужен, когда вы находитесь в кишащих акулами водах, обсуждая очень противоречивые вещи с очень враждебными людьми. Здесь «контраргумент» примет форму попытки разрушить вашу репутацию, используя один из ваших комментариев, вырванных из контекста, чтобы доказать, что вы плохой человек с бессовестными убеждениями, которых никогда не следует слушать.
Например, предположим, что я пытаюсь объяснить какое-то социальное явление и упоминаю, что богатые люди получают в школе лучшие оценки, чем бедные. Враждебный оппонент мог обвинить меня в создании глупого стереотипа и утверждении, что все богатые люди лучше всех бедных; тогда он мог снисходительно «поправить» меня, сказав, что на самом деле внутриклассовые различия больше, чем межклассовые. Или могу сказать, что мне нужно понять, что школьные оценки - не единственное, что есть гораздо более важные факторы, определяющие ценность людей как человека. Или он может обвинить меня в том, что я социал-дарвинист, и «поправить» меня, сказав, что, возможно, это из-за стресса бедности.
На самом деле я ничего из этого не говорил и не имел в виду. Но если кто-то обвиняет меня в них, и я вынужден сослаться на то, что я действительно не имел в виду этого, честно, тогда они могут удвоить свою лепту и сказать, что мои протесты о невиновности являются верным признаком моей вины. Независимо от того, добьются они успеха или нет, я занимаю оборонительную позицию. Мы перешли от обсуждения того, что я хотел сказать в первую очередь, к обсуждению того, является ли Скотт социал-дарвинистом в монокле, который считает, что все бедняки заслуживают голодания на улице.
Решение действительно простое: предвидеть и снимать контраргументы . Если бы я хотел указать класс / оценки, это выглядело бы примерно так:
Согласно [исследованию], учащиеся из семей, зарабатывающих более 100 000 долларов, имеют средний средний балл X старшей школы выше, чем ученики из семей, зарабатывающих менее 20 000 долларов. Очевидно, это не означает, что все богатые люди преуспевают лучше, чем все бедные, и не исключает таких причин, как стресс от бедности, вредит человеческому мозгу. Но это предлагает возможное объяснение [того явления, которое я пытался использовать для объяснения].
Связанное примечание: говоря о спорных вещах потенциально враждебной аудитории, просмотрите каждое предложение своей работы и представьте, как бы оно звучало, если бы оно было процитировано вне контекста и использовалось как краткое изложение того, кем вы являетесь как человек. Если вы этого не сделаете, рано или поздно кто-нибудь попробует это сделать, и вы окажетесь неподготовленными.
9. Используйте сильные концептуальные ручки.
Идея дескрипторов концептов сама по себе является дескрипторами концептов; это запоминающаяся фраза, которая резюмирует сложную тему.
Элиэзер Юдковски действительно хорош в этом . « Вера в веру «, « смысловые stopsigns «, « аплодисменты огни «, « хулиганство Паскаля «, « адаптация-исполнители против фитнес-максимайзеров «, « обращенного глупостью против интеллекта «, „ радость в только реальное “ - все это интересные идеи, но, что более важно, это интересные идеи с короткими запоминающимися названиями, которые всем известны, поэтому мы можем легко о них поговорить.
Я очень сознательно пытался подражать этому, когда говорил о таких идеях, как тривиальные неудобства , мета-противоположность , токсоплазма и Молох .
Я бы пошел еще дальше и сказал, что это одна из самых важных вещей, которые может сделать такой блог. Я вряд ли открою для себя какое-то совершенно новое социальное явление, о котором раньше никто не думал. Но есть много вещей, о которых люди имеют смутные туманные представления, которые они не могут выразить словами. Превратить их в кристально чистые идеи, которыми они могут манипулировать и обсуждать с другими, - это большое дело.
Если вы придумываете что-то интересное и очень кратко вбиваете это в чью-нибудь голову, не тратьте это зря! Дайте ему красивую концепцию-дескриптор, чтобы они запомнили его и могли использовать для решения других проблем!
10. Осознайте, что применение этих правил, вероятно, приведет к катастрофическим последствиям.
Практически во всех навыках существует закономерность, когда люди начинают делать что-то наполовину, но иногда с небольшим талантом. Эксперты учат их правильному способу действий, и они переключаются на то, чтобы делать это неестественно шаблонным способом, который заставляет всех остальных съеживаться. Со временем они становятся все лучше и лучше. Наконец, они делают вещи, которые полностью противоречат правилам, которым их учили, и это прекрасно работает. Я думаю, что это было в контексте поэзии, когда кто-то сказал: «Сначала выучите правила, а потом вы сможете их нарушать сколько угодно».
Нетренированное естественное письмо часто плохо, но, по крайней мере, честно говоря, плохо. Необученное письмо, которое пытается заставить себя что-то сделать, потому что кто-то сказал им, что это хорошая идея, намного хуже . Вспомните старую пословицу: «Если вы произносите речь, начните с шутки». Это отличный совет, если все сделано правильно. А теперь представьте, как все может пойти не так: ужасные шутки, неуместные шутки, надуманные шутки, речи, которые абсолютно не должны начинаться с шуток, и так далее. Речь, которая не начинается с шутки, часто бывает хорошей; речь, которая не должна начинаться с шутки, но ее никогда не заставляют. В конце концов вы кричите: «Используйте свои инстинкты!» у людей, у которых фактически нет инстинктов.
Неправильно воспользуйтесь советом в этом посте, и вы в конечном итоге превратите знаменитую цитату из Декларации независимости в нечто вроде:
Хотя мы согласны с тем, что король Георг обладает многими хорошими качествами, мы, тем не менее, считаем эти истины более или менее самоочевидными. Истина номер один, что все люди созданы равными. Например, им всем должно быть предоставлено равное право свободно говорить о таких важных вопросах, как налоги. Возможно, что в некоторых случаях они не должны быть равными, например, у детей меньше прав, чем у взрослых, но это лишь незначительные исключения. [вставить сюда изображение Колокола Свободы] Истина номер два, что они наделены своим Создателем определенными неотъемлемыми правами ...
Практически единственный хороший совет в любой дисциплине - «развивайте инстинкты, а затем используйте их». Пока вы ждете, пока у вас разовьются инстинкты, или чтобы подтолкнуть их вперед, иногда полезно прислушаться к советам других людей. Но сделай. нет. сила. это .
Джордж Оруэлл закончил свой собственный список писательских советов словами «Лучше нарушите любое из этих правил, чем скажите что-нибудь откровенно варварское». Как обычно, прав Джордж Оруэлл.
Когда вы пишете новую заметку, добавьте её к одному или нескольким ''наброскам'', которые вы поддерживаете, создавая при необходимости новую. Естественно, появятся существенно полные письменные проекты.
Обычно мы начинаем набросок, когда начинаем писательский проект. Это заставляет нас начать с пустой страницы. Напротив, если мы будем писать новые заметки каждый день и заметим, как они связаны друг с другом, они могут накапливаться в потенциальных проектах по написанию. Когда контур кажется «спелым», мы можем вырвать его и превратить в рукопись без прилагающих геркулесовых усилий по запуску, которые поставляются с пустой страницей.
Поддержание уже написанных заметок в наброске сравнительно легко: просто посмотрите на пару заметок и спросите: что из них стоит первым?
Кроме того, чтобы начать письменный проект с пустым планом, нам нужно иметь в виду тему и некоторый угол зрения. Мы можем [[Используйте заметки, чтобы избежать предвзятых выводов]].
### References
Ahrens, S. (2017). *How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers*.
Развитие аргументов и идей снизу вверх, а не сверху вниз - это первый и самый важный шаг к открытию для понимания.
Стивен Джонсон, написавший проницательную книгу о том, как люди в науке и вообще придумывают новые подлинные идеи, называет это «медленным догадыванием». В качестве предварительного условия для использования этой интуиции он подчеркивает важность экспериментальных пространств, где идеи могут свободно смешиваться (Johnson 2011). Лаборатория с непредубежденными коллегами может быть таким пространством, как интеллектуалы и художники свободно обсуждали идеи в кафе старого Парижа. Я бы добавил ящик как такое пространство, в котором идеи могут свободно смешиваться, чтобы они могли рожать новые.
«Когда я застреваю на мгновение, я оставляю его и занимаюсь чем-то другим». Когда Луманна спросили, что еще он делал, когда застрял, он ответил: «Ну, писал другие книги. Я всегда работаю над разными рукописями одновременно. Используя этот метод, чтобы работать над разными вещами одновременно, я никогда не сталкиваюсь с какими-либо умственными блокировками».
[[Как написать книгу - даже не пытаясь (так сильно). Метод Zettelkasten|https://zettelkasten.de/posts/write-book-without-even-trying-so-hard/]]
Когда я создаю Zettel, я ищу в папке схему, в которой можно было бы использовать этот Zettel. Если в моей папке нет подходящего плана, я создаю его.
Теперь я вижу, что статьи, книги и другие писательские проекты возникают как следствие того, что я читаю тексты и создаю Зеттели без какого-либо конкретного намерения при этом.
Упомянутая мною книга по письму возникла таким же образом. Я работаю над книгой по питанию, поэтому я решил изучить, как написать книгу и как писать в целом. Каждая записка, которую я превратил в Zettel, нашла свое место в схеме. Через некоторое время я удовлетворил свою потребность в чтении по этой теме. Когда я взглянул на план, я понял, что у меня уже есть заметки на книгу. Я заменил идентификаторы содержимым Zettels. Вуаля. Рукопись была готова.
Pirsig, R. M. (1991). *Lila: an inquiry into morals*. New York: Bantam Books.
Вместо того, чтобы спрашивать, где начинается эта метафизика вселенной? - что было практически невыполнимым вопросом - все, что ему нужно было сделать, это просто показать два бланка (slip) и спросить: что будет первым? Это было легко, и казалось, что он всегда получает ответ. Затем он брал третий бланк, сравнивал его с первым и снова спрашивал: что будет первым? Если новый бланк появлялся после первого, он сравнивал его со вторым. Потом у него была организация из трех человек. Он продолжал повторять этот процесс снова и снова.
[[[Create speculative outlines while you write]|https://notes.andymatuschak.org/z2uXyfV67dnWLUKg1iDbsrHk3DGjtNWTxSTah]]
Люди, делающие [[Инструменты для размышления]], часто говорят, что пытаются помочь людям делать математику, делать искусство или что-то в этом роде. Но на самом деле люди, создающие эти инструменты, редко очень глубоко связаны с фактическими творческими практиками, которые они пытаются усилить. Работа часто больше похож на технологическую демонстрацию, игрушку или «песочницу». Как мы писали в *разделе Как мы можем разработать преобразующие инструменты для мышления?*: «Инструменты для письма, которые не используются реальными писателями. Инструменты для математики, которые не используются фактическими математиками». В глубине души такие системные дизайнеры, как правило, //разрабатывают систему ради нее самих//, а не потому, что есть какая-то творческая проблема, которую они отчаянно пытаются решить.
Такие инструменты могут выглядеть математическими (или что-то в этом роде) на их поверхности, но они не пытаются серьезно ответить на сложные проблемы в этих областях - часто потому, что создатели на самом деле не знают, что это за проблемы, или не понимают, как их решить. [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]].
Стартапы и технологи часто обманывают себя, работая и разговаривая с ранними пользователями, которые в основном заинтересованы в игре с новыми технологиями. Но это не просто проблема «технологической индустрии»: академические производители инструментов, как правило, оценивают свои системы в искусственных условиях с искусственными данными по критериям искусственной проверки.
Трудно решить эту проблему: [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]].
!!!References
Матушак, А. и Нильсен, М. (2019, 0 октября). [[Как мы можем разработать преобразующие инструменты для мышления?|https://numinous.productions/ttft](https://numinous.productions/ttft]]
Приятно быть дисциплинированным и амбициозным, но еще лучше иметь смекалку. Сообразительность - это вдохновенное, активное чувство к деятельности, которое больше не требует силы воли или уверенности.
Сообразительность легко приходит, когда деятельность преследует по сути значимые цели. Его легко лишить чепухи. Связано: [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
!!!References
Pirsig, R. (1979). Zen and the art of motorcycle maintenance: An inquiry into values.* New York: Morrow.
[[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]] и, поскольку пользователь инструмента серьезно используется в этом сотрудничестве, они, как правило, будут инициаторами творческих проектов пары. Эта первоначальная концепция часто является результатом получастных усилий. Разделение ответственности пары естественным образом сосредоточит внимание пользователя на работе над творческим проектом, а не на оставшихся без ответа вопросах в инструментах. По мере того, как пользователь инструмента возится с идеями, которые могут стать новыми творческими проектами, он в основном будет включать инструменты, которые в большинстве своем уже «в пределах досягаемости».
Так что, если пара надеется исследовать какую-то идею в области инструментов в рамках серьезного творческого проекта, эта идея должна быть уже конкретной и доступной, когда пользователь инструмента замышляет следующий проект. Пара должна проактивно разработать арсенал идей об инструментах (как зародышевых, так и зрелых), чтобы вооружить пользователя инструментами исследования
Идеи инструментов в арсенале не обязательно должны быть работающими программами. Они просто должны быть достаточно прочными, чтобы стоять на ногах - достаточно хорошо понимать, чтобы пользователь инструмента мог возиться с ними в новых творческих проектах. Например, когда Майкл приступил к работе над Quantum Country, программа представляла собой лишь начальный набросок: важно было то, что он достаточно хорошо понимал форму идеи, чтобы представить книгу, в которой она эффективно реализована. Рисуя книгу, можно было (какое-то время) просто написать: «Вопрос: сколько измерений имеет векторное пространство кубита?» в тексте. Основная идея мнемонической среды уже была «в арсенале».
Оружейная палата имеет важное значение для взаимоотношений пары и разделения труда. Создатель инструментов не придумывает творческие проекты, поэтому, если есть идея, которую он считает многообещающей, он должен довести ее до такой степени, что идея инструмента находится «в арсенале», чтобы затем вдохновить на будущие творческие проекты. С другой стороны, пользователь инструмента в основном не разрабатывает идеи инструмента, поэтому, если его поразила идея инструмента - но эта идея еще не достаточно прочна, чтобы быть «в арсенале» - он должен иметь возможность опереться на инструмент - создатель, чтобы стимулировать развитие идеи до тех пор, пока она не будет готова для склада оружия.
В обоих случаях пара должна разработать идеи для арсенала без гарантии, что они обязательно будут использованы в будущем проекте. Попасть в арсенал - это лишь необходимое (но не достаточное) условие для использования в серьезном творческом проекте.
Концепция арсенала в основном полезна в контексте многократного сотрудничества, особенно в рамках отдельных проектов (т.е. [[Сотрудничество между производителями инструментов и пользователями инструментов лучше всего повторяется через последовательность различных проектов]]).
[[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]], но одним из практических препятствий для работы пользователя инструментов является то, что [[Трудно поддерживать эмоциональную связь с творческим проектом во время задержек и перерывов]].
Пара может многое узнать об идеях своих инструментов, поскольку пользователь инструмента применяет их в серьезных творческих проектах, но каждый проект имеет ограниченные возможности для повторения.
Чтобы понять, почему, представьте, что пользователь инструмента написал первый черновик книги. Уроки из этого черновика подсказывают новые итерации идей пары инструментов. Хотя пользователь инструмента может быть очень заинтересован в этих исследованиях, он, скорее всего, не заинтересован в полном переписывании книги с использованием новой версии инструмента. Инструмент может немного развиваться - особенно на ранних этапах процесса разработки, - но он быстро выходит за рамки предела сообразительности.
Эта задача предполагает, что пара создатель инструмента / инструмент-пользователь может лучше всего развивать свои творения через последовательность творческих проектов. Инструменты, задействованные в каждом творческом проекте, могут развиваться только в ограниченном количестве в течение этого проекта, поэтому границы инструментария каждого проекта в значительной степени определяются состоянием инструментов в начале проекта.
Существует противоречие по поводу размера проектов в последовательности. Меньшие проекты будут поддерживать более радикальные итерации в инструментах - более высокую «скорость обучения», если хотите. Но небольшие проекты могут быть недостаточно серьезными для разработки идей инструментов [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. В идеале, я полагаю, пара занимается самыми маленькими, достаточно серьезными проектами, какие только могут.
Социальная норма это не то, что делают все, а то, отклонение от чего вы будете скрывать. Когда социальная норма закрепляется, то несоблюдение её вы будете скрывать от окружающих. Более того, соблюдение её вы будете имитировать, иначе вы будете подвергаться осуждению, а в крайнем случай - остракизму.
Спортсмены высшего уровня фанатично дисциплинированы в отношении улучшения своих базовых навыков - навыков, которые выходят за рамки любого вида спорта, тех же упражнений по ловкости, которые вы можете увидеть новобранцем армии. Музыканты высшего уровня делают то же самое: Ланг Ланг, например, все еще работает над своими навыками после 30 лет концертного пианиста. Они не просто делают rote drill: они работают над критическим улучшением этих навыков, разглядывая видео с производительностью и работая с тренерами.
Для сравнения, [[Работа со знаниями редко включает в себя преднамеренную практику]] . Работники знаний кажутся удивительно несерьезными в отношении оттачивания фундаментальных навыков, таких как чтение ( [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]]), ведения заметок (а мы знаем, что [[Практика написания заметок у людей, как правило, неэффективна]]), разработки идей с течением времени ([[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].
[[Основные практики в работе с знаниями часто являются ad-hoc]], и работники, занимающиеся знаниями, как правило, не проводят серьезную программу совершенствования этих основных навыков. Я подозреваю, что это в значительной степени потому, что возможность улучшения не существенна: [[Значимость улучшения способствует развитию навыков]].
Что может означать для информационных работников фанатично преследовать виртуозность в этих фундаментальных навыках, как спортсмены ищут свои фундаментальные навыки?
В некоторых средах основные виды деятельности в основном активны; большая часть опыта в значительной степени создается благодаря усилиям участников. Я называю это средой участия.
Среда участия может быть создана преднамеренно, а может и не быть. Медиа-среды почти всегда создаются намеренно, но многие социальные и природные среды - нет. Часть опыта в созданной среде участия может быть [[Реализованный опыт]]
[[Среда участия поддерживает обучение]]
!!!Примеры и контрпримеры
Игры в основном всегда создают среду участия. Пер Ланц (2019): «Игры - это эстетическая среда действия». Но наблюдение за тем, как кто-то другой играет в игру на Twitch, часто не создает атмосферы участия.
Книги и фильмы обычно не создают среды участия. Основная деятельность среды, создаваемой этими средствами массовой информации, обычно является восприимчивой и пассивной для большинства участников. Но существуют контрпримеры: Make Magazine; Drawing on the Right Side of the Brain; видео тренировок; и т.д.
Обед - это, как правило, коллективная среда. Стена для скалолазания (естественная или искусственная) - это среда, в которой участвует. Ехать в метро вообще нет.
Большинство программных интерфейсов создают среду участия. Один общий класс контрпримеров - медиаплееры: VLC, Pandora, Kindle и т. Д. Это программное обеспечение просто представляет медиа, которые сами по себе не создают среду участия.
Несмотря на их стремления, большинство исследуемых и [[Исполняемые книги]] не создают среды участия. По умолчанию участник прокручивает и читает.
!!!Заявление об ограничении ответственности / заявитель
Этот термин в значительной степени пересекается с предшествующими концепциями в образовании, когнитивной науке и социологии, такими как «активная среда обучения», «воплощенный опыт», «ситуативное познание» и т. Д., Но я пытаюсь выйти за рамки этих контекстов и избежать багажа этих терминов, поэтому я намеренно создаю новый термин.
[[Понимание требует активного вовлечения]]. Один из способов поддержать эти усилия - создать [[Среда участия]], деятельность которой естественным образом приводит к такому активному взаимодействию. Например, художественный лагерь может включать в себя много занятий по рисованию и рисованию, которые могут потребовать усилий от теории цвета.
Напротив, среда без участия, такая как книги, часто задействуется пассивно. Большинство читателей не проявляют особого интереса, поэтому они не придают значения.
!!!References
Matuschak, A. (2019). Why books don’t work. Retrieved from https://andymatuschak.org/books
Книги, видео и другие типичные средства массовой информации сами по себе не являются примерами [[Среда участия]], но они также обычно не способствуют внешнему участию вне контекста этих средств массовой информации. Это еще один способ сказать, что им обычно не удается создать [[Благоприятная (стимулирующая) среда]].
Существует серьезное несоответствие между опытом потребления информационных средств массовой информации и опытом работы с ними. Отчасти это временная проблема: материал должен выходить за пределы ограниченного периода времени, в котором вы его читаете (в средствах массовой информации в большинстве случаев отсутствует авторское временное измерение, превышающее день). Но здесь также есть проблема контекста.
МООК пытаются решить эту проблему, но в основном терпят неудачу. Стоит подробнее задуматься о том, почему.
Одно из возможных решений заключается в том, что «Реализованный опыт» обладает невероятным потенциалом в качестве средства массовой информации. Наверное, есть и другие.
!!!Рекомендации
[[Предисловие Элизара Юдковски к Rationality A-Z|https://www.lesswrong.com/rationality/preface]]
::…Первая - самая большая ошибка в моем письме… заключалась в том, что я не осознавал, что большая проблема в изучении этого ценного способа мышления заключалась в том, чтобы выяснить, как его применять на практике, не зная теории. Я не понимал, что эта часть была приоритетной; и по этому поводу я могу сказать только «Oops» и «Duh».
"""
Q. Что Элизе Юдковски считает самой большой ошибкой, которую он совершил, ведя блог на Less Wrong?
A. Сосредоточение внимания на теории, а не на практике.:
"""
Кинематографисты, композиторы и драматурги тщательно определяют временное измерение своих произведений. Беременная пауза, затяжной конфликт и акселерато ощущаются так же, как и они, из-за того, как зрители переживают их с течением времени. Эти медиумы выражают развивающийся в течение нескольких часов опыт - но как насчет дней, месяцев, лет? Культурные учреждения часто создают свой опыт в этих временных масштабах (например, многолетние религиозные ритуалы совершеннолетия), но средства массовой информации редко это делают. Это досадное ограничение: средства массовой информации дают авторам огромный охват. (см. также [[Реализованный опыт трудно распространять]]).
Эту перспективу я называю [[Своевременный текст]].
!!!Книги имеют более длительное измерение времени, но, как правило, не авторское
На чтение книг часто уходят недели или месяцы. Но книги почти никогда не имеют такого авторского измерения времени, как фильмы или пьесы. Дни, недели и месяцы обычно не указываются автором так, как протоколы - режиссером. Многие идеи требуют времени, чтобы осознать: если оставить в стороне [[Эффект интервала]], люди должны взаимодействовать с ними во многих случаях, прежде чем их реальный смысл станет ясен.
Рассмотрим настоящие отношения между экспертом и учеником. Эксперт может представить идею, а затем наблюдать, как она расцветает в ученике в течение последующих недель, возможно, ссылаясь на нее несколько раз различными способами, чтобы подтолкнуть ее к развитию. Затем, когда у ученика будет достаточно времени, чтобы полностью усвоить идею, эксперт может представить некоторые последствия этой идеи в то время, когда она окажет наибольшее влияние. Речь идет не только о проблемах, описанных в [Большинство пояснительных СМИ», заставляющих участников запускать свои собственные циклы обратной связи]: эксперт курирует временную составляющую опыта ученика.
Напротив, если автор хочет представить как идею, так и некоторые нюансы этой идеи, эти точки могут быть разделены только страницами в корешке книги. Иногда авторы будут писать заметки типа «не читайте эту главу, пока…», но этот подход, очевидно, весьма ограничен.
!!!Совместные MOOC вводят более длительное измерение времени, но в значительной степени не авторское
Некоторые МООК начинаются в определенное время, собирая студентов в когорты, которые вместе проходят учебную программу. Если курс включает компоненты совместного обучения, общие сроки могут существенно повлиять на опыт студентов. Но, насколько я видел, дизайнеры MOOC не тщательно продумывают, как этот опыт разворачивается в течение недель и месяцев: они собирают группу людей, а затем заставляют их делать в основном независимые от времени вещи вместе в течение некоторого периода времени.
Учебные материалы MOOC часто «открываются» со временем, но они не имеют существенного взаимодействия с этой временной шкалой. Обычно это больше похоже на то, как если бы автор написал целую книгу, но позже издатель решил сериализовать ее, рассылая подписчикам по главам для их удобства. Конечно, со временем есть опыт, но нет никакого авторского замысла. Такое расположение оставляет многое на столе.
!!!Курс медитации Аро написан в средствах массовой информации, имеет многомесячное авторское временное измерение
Противоположностью этому Ринпоче и Дэвид Чепмен считают [[курс медитации ARO|https://aromeditation.org/]]. Это последовательность из 18+ писем, одно автоматически отправляется каждую неделю после регистрации. Но электронные письма написаны не как материалы MOOC: прошедшие недели тщательно вплетены в каждое письмо. Они возвращаются по спирали назад, возвращаясь к более ранним идеям, чтобы освежить память по прошествии нескольких недель. Они намеренно оставляют место для концепций, прежде чем вернуться через несколько недель. Они полагаются на растущее доверие читателя, которым должен обладать, например, любой, кто все еще читает в течение трех месяцев. Эта серия электронных писем, какими бы простыми они ни были, кажется гораздо более глубокой эволюцией по сравнению с книгами, чем МООК по сравнению с традиционными курсами.
!!!Игры часто имеют более длительное авторское измерение времени
В играх с высокой ценностью воспроизведения явно указаны секунды, минуты, час, день и месяц + временные рамки. Казуальные игры, такие как Bejeweled, гарантируют, что новые игроки мгновенно добьются успеха. Они выйдут на качественно иной «уровень» игры в часовом масштабе. Они привнесут ощущение прогресса в течение нескольких дней, чтобы игроки возвращались каждый день. И они будут добавлять редкие предметы коллекционирования, мета-игры и продвинутые цели, чтобы опыт развивался в течение нескольких месяцев.
Точно так же MOOG, такие как World of Warcraft, тщательно регулируют стимулы и среду игроков, чтобы создать ощущение постоянно расширяющегося горизонта в течение многих месяцев. Элементы дизайна не о чистом количестве часов: они больше о том, как характер игровой сессии меняется от недели к неделе.
На прохождение некоторых однопользовательских повествовательных игр уходит от 50 до 100 часов, но к ним относятся во многом как к фильмам: опыт не имеет смысла в том, что для игрока могут проходить дни или недели.
В этом отношении игры необычны: [[В динамических средах обычно отсутствует авторское измерение времени]] .
Интересно: [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]], и [[нулевой ящик «Входящие»|http://www.43folders.com/izero]] - один из подходов к этому. Это сокращает время ожидания отправлений (теоретически до одного дня) за счет агрессивного увеличения скорости отправления.
В своей книге «Как сделать все» Дэвид Аллен предлагает увеличить скорость отправления очереди, стратегически откладывая, делегируя или отбрасывая задачи. «Inbox Zero» - разработка Мерлина Манна. Это гарантирует, что вы достаточно увеличиваете частоту отправлений , обрабатывая весь почтовый ящик до нуля каждый день. Это грубый подход, но он гарантирует, что скорость вылета всегда превышает скорость прибытия.
!!!Вызовы
Вы должны принять решение по каждому элементу в вашем почтовом ящике. Это значительная стоимость, и ее будет иметь смысл платить только тогда, когда почтовые ящики относительно малы.
Явная отсрочка задачи накладывает эмоциональные издержки, возможно, излишне: «нулевой почтовый ящик» необходим только в том случае, если скорость поступления всегда превышает частоту отправлений. Если частота прибытия варьируется и иногда оказывается ниже скорости отправления, вы все равно можете справиться со всем в разумные сроки.
Явно отбросить задачу сложно, потому что [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]].
С практической точки зрения, Inbox Zero обычно приводит к "онемению" откладывания: слишком легко выполнять задачу снова и снова. Аллен предлагает периодически выполнять рефлексивную проверку, чтобы пересмотреть задачи, которые постоянно откладываются, но эти проверки требуют еще большего количества решений. Соблюдение режима снижается.
При такой обработке почтового ящика возникает необходимость просто выполнять больше этих задач, что может быть не тем, что вам на самом деле нужно.
!!!Возможности
Более идеальный механизм обеспечит приемлемое время ожидания, но время цикла не обязательно должно составлять один день. Мы также должны учитывать количество решений, которые необходимо принять. Я бы предпочел принимать меньше решений, но терплю более длительное среднее время ожидания.
Один из возможных примеров: [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]].
---
!!!References
Allen, D. (2015). Getting Things Done: The Art of Stress-Free Productivity.
43 Folders Series: Inbox Zero | 43 Folders
Matuschak, A. (2019, December). Taking knowledge work seriously. Presented at the Stripe Convergence, San Francisco.
Хотя заметки в [[§Система интервального повторения]] являются атомарными так же, как и [[Вечнозеленые заметки]] ([[Вечнозеленые заметки должны быть атомарными]]), они во многих отношениях слишком атомизированы ([[Традиционные подсказки для интервального повторения - атомизированы]]). Форма препятствует инкрементному синтезу и дистилляции.
Вопросы плавают в недифференцированном тумане, отделенные от любого внутренне значимого контекста и не связанные с соответствующими соседями ([[Вечнозеленые заметки должны быть тесно связаны]]), и не предназначены специально для доступа, кроме как в рамках обзора. Они не должны быть прочными растущими единицами; они предназначены быть одноразовыми обломками. Все это могло бы быть хорошо, если бы у них была четкая связь с отдельной системой для [[Вечнозеленые заметки]], но это не так.
К счастью: мнемоническая среда может быть расширена до личных заметок.
---
!!!References
Nielsen, M. (2018). [[Augmenting Long-term Memory|http://augmentingcognition.com/ltm.html]]
::Я начинаю выявлять открытые проблемы, вопросы, на которые лично я хотел бы получить ответы, но на которые, похоже, еще нет ответа. Я выявляю уловки и наблюдения, которые кажутся чреватыми возможными, но значение которых я еще не осознаю. И иногда я выявляю то, что мне кажется слепыми пятнами всего поля. Я также добавляю вопросы обо всем этом в Anki. Таким образом, Anki является средством поддержки моих творческих поисков. У него есть некоторые недостатки как у такого носителя, поскольку он не предназначен для поддержки творческой работы - например, он не приспособлен для длительных исследований в свободной форме внутри пустого пространства.
Когда я глубоко занимаюсь разработкой программного обеспечения, ежедневно достигая потока, мой разум сужается до своего рода туннельного видения, полностью зацикленного на программных системах и их проблемах. Это классическая проблема дизайна (Купер, 2004): из инженеров обычно получаются плохие дизайнеры, потому что они сосредотачиваются на своем программном обеспечении и его крайних случаях, а не на реальной человеческой проблеме, которую нужно решить. Это также практически беспокоит исследователей [[Ментальное состояние глубокой разработки программного обеспечения и глубокого исследовательского мышления являются взаимоисключающими]].
Но на личном уровне я нахожу этот эффект все более неприятным. Когда я нахожусь в этом состоянии, я чувствую, что мое чувство себя сокращается. Я теряю рефлексию. Творческие мысли перестают возникать. Мне сложно писать. И так далее.
Я не совсем понимаю, что с этим делать. Я могу избежать этого эффекта, если буду тратить меньше времени на разработку в день, но тогда будет сложно набрать обороты [[высокая стоимость переключения между разработкой программного обеспечения и исследовательским мышлением). Когда я занимался инженерией, меня это не особо беспокоило. Так что, возможно, серьезную инженерную работу лучше оставить людям, которые не против этого эффекта.
Дэвид Чепмен [[предполагает|https://twitter.com/Meaningness/status/131766397138661376]], что это может быть отчасти потому, что:
::Я полагаю, что в рутинном программировании человек не добавляет ничего от себя, а просто выясняет, чего требуют утомительные требования склеивания API; все это сфокусировано. В то время как в творческой работе, даже когда вы погружены в нее, есть ощущение, что, по крайней мере, материал проходит через вас, а не находится «где-то там» в IDE / server / API_doc, и есть некоторый смысл, что даже когда материал имеет универсальное качество, поэтому «я» не создаю его, тем не менее, поскольку он проходит «сквозь» меня, и поэтому он будет своеобразным в некотором роде без моего намерения.::
!!!References
Cooper, A. (2004). The Inmates Are Running the Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity (1st Edition). Sams - Pearson Education.
Таксономия (общая) ([[Taxonomy - Wikipedia|https://en.wikipedia.org/wiki/Taxonomy]]) - это практика и наука классификации вещей или концепций, включая принципы, которые лежат в основе такой классификации
Для меня практика написания и редактирования заметок - это, по сути, попытка подняться по следующей грубой лестнице:
* Эфемерные записи в [[Журнал ежедневной работы]]
* Подсказки и неполные заметки в почтовом ящике ([[Почтовый ящик для временных и неполных заметок]]), которые могут стать [[Вечнозеленые заметки]]. Эти подсказки могут накапливаться со временем через интервальное повторение (см. [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]].
* [[Вечнозеленые заметки]] на все более сложных стадиях развития:
** заглушки, неявно определенные через обратные ссылки ( [[Обратные ссылки могут быть использованы для неявного определения узлов в системах управления знаниями]] ); например [[§Система записи заметок]], [[Аудиокниги]]
** простые определения терминов искусства, немного добавленных мной; например [[Диапазон абсолютного суждения]], [[Эффект интервала]]
** [[Примечания моста узко связаны с двумя соседними терминами]]
** точные, узкие декларативные примечания ([[Предпочитайте заголовки заметок с полными фразами, чтобы обострить утверждение]]); например [[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]]
** иногда они формулируются как вопросы, когда доказательства слишком неубедительны, чтобы их можно было четко сформулировать; например [[В какой степени наследуются исключительные способности?]], [[В какой степени подсказки приложения могут вытеснять подсказки отзыва в мнемонической среде?]]
* API более высокого уровня (названия [[Заголовки вечнозеленых заметок похожи на API]]
** заметки абстрагируются от многих других заметок, например [[Обучающие игры - это обреченный подход к созданию благоприятной среды]], [[Читать текст на компьютерах неприятно]]
** личные условия искусства, например [[Реализованный опыт]]
* «Примечания к наброску», например [[§ Благоприятная среда, игры и The Primer]]
!!!Примечания
* «Литературные заметки», названные в честь одной работы и предназначенные в первую очередь как ссылки на другие более долговечные заметки, а также как объекты для обратных ссылок. Я пишу это примерно как «конспектные заметки», за исключением чужих идей. Например: [[Миллер - Волшебное число семь, плюс или минус два]]
* Точно так же, но реже, у меня также есть «личные заметки» (например, Ананд Агаравала) и «деловые заметки» (например, Confluent).
* Аналогичным образом, но реже, у меня также есть «личные заметки» (например, Anand Agarawala) и «деловые заметки» (например, [[Confluent]]
Эти типы заметок слабо вечнозеленые. Я могу добавлять к ним со временем, но поскольку они не концептуально-ориентированы ([[Вечнозеленые заметки должны быть концептуальными]]), они не так полезны для развития, как вечнозеленые заметки. Нетривиальное написание имен собственных обычно выделяется в отдельные вечнозеленые заметки, которые можно использовать в разных местах.
«Журнальные» записи, в которых накапливаются эфемерные наблюдения о конкретной практике, системе или проекте с течением времени. Они сродни [[Журнал ежедневной работы]], но нарезаны по какой-то интересующей теме, а не по дате, например личная мнемоническая среда.
Благодаря лучшему включению или поддержке [[Контекстные обратные ссылки]] такие заметки можно было бы записывать непосредственно в ежедневный рабочий журнал, а «журнальные» заметки можно было бы определить как запрос к таким заметкам.
Говоря тактически, я обычно обозначаю «тип» заметки тегом.
Не зацикливайтесь на этом и не формализируйте это слишком сильно. Помните: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]].
Классическая таксономия учебных задач [[Бенджамин С. Блум]]. В современном виде:
# Помнить
# Понимать
# Применять
# Анализировать
# Оценивать
# Создавать
Теги - это простой способ связать разнородные элементы, но они являются слабосигнальным способом описания отношений.
Все элементы с заданным тегом представлены как связанные… но трудно понять, как это сделать. Это просто перемешанный, неупорядоченный список.
Некоторые из этих элементов более релевантны теме конкретного тега, чем другие, поэтому мы должны [[Предпочитать явные ассоциации предполагаемым ассоциациям]].
Некоторые из этих элементов имеют только несколько предложений, касающихся тега, но тег связан со всем элементом. Мы должны [[Отдавать предпочтение мелкозернистым ассоциациям]] . Соответственно, теги часто довольно расплывчаты или широки. Лучше дать ссылку, чтобы точнее связать идеи.
И иногда было бы очень полезно сказать несколько слов контекста о том, //почему// элемент относится к конкретному тегу. Мы должны [[Предпочитать помеченные ассоциации]].
* [[Что, если бы мнемоническая среда была переработана как средство более глубокого взаимодействия с текстом?]]
* [[Доминирующая культура систем памяти с интервальным повторением зациклена на бессмысленных целях]]
* [[Серьезно относиться к эмоциям]]
[[Kawara]] - очень интересный образец - продукт, ориентированный на вдохновение, друзей и т. д.
Холлис Роббинс отмечает (2020-04-15, 2020-04-17), что веселье и смущение - это мощные обучающие эмоции, которые гораздо более «живы», чем простые механизмы повторения с интервалом. Если на семинаре происходит что-то веселое, вы, скорее всего, запомните подробности вокруг этого довольно долгое время. И, что более буквально (10.09.2020): «Не забывайте о фигурах речи и риторике в целом! Никто не забывает хороший хиазм… »
Бушра Фаруки (2020-07-01):
Опыт как репетиция с интервалом. Я буду продолжать говорить любящие слова по-разному и в разных формах племяннику, чтобы он воспринял их как внутренний голос. Повторяющаяся линия разговора действует как овеществленное воплощенное напоминание, пока не станет частью его когнитивной архитектуры.
Где жизнь, которую мы потеряли в жизни?
Где мудрость, которую мы потеряли в знании?
Где знания, которые мы потеряли в информации? (Элиот, 1963)
Эффективная [[Преднамеренная практика]] предлагает студентам возможности для целенаправленных повторений. Во время бейсбольного матча отбивающий может качаться только дюжину раз, но отбивающий, работающий с опытным тренером, может пытаться сделать сотни подач в день. Еще лучше: все эти поля могут быть разработаны для использования конкретной слабости (Ericsson et al, 1993, с. 368).
Поскольку [[Развитие навыков требует непростого гомеостаза]], неудача должна быть распространена во время преднамеренной практики. Но типичные условия работы и производительности редко терпят высокие показатели сбоев. Пианист не может практиковать свои аппликации, запланировав больше концертов: его быстро выведут с гастрольной трассы.
!!!Ссылки
Эрикссон, К. А., Крампе, Р. Т., и Теш-Рёмер, К. (1993). Роль преднамеренной практики в приобретении экспертной деятельности. *Психологический обзор*, *100*(3), 363. [[Эрикссон и др. - Роль преднамеренной практики в приобретении экспертной деятельности]].
TODO
http://www.csdl.tamu.edu/~shipman/formality-paper/harmful.html
!!!References
См. детальнее статью [[Формальность считается вредной: опыт, новые темы и направления]]
Шипман, FM, и Маршалл, CC (1999). Формальность считается вредной: опыт, новые темы и направления использования формальных представлений в интерактивных системах. Совместная работа с компьютерной поддержкой (CSCW), 8 (4), 333–352. https://doi.org/10.1023/A:1008716330212
Подсказки в [[§Система интервального повторения]] представляют собой неупорядоченный, неструктурированный набор. Каждая подсказка намеренно достаточно мелкозернистая и элементарная, поскольку именно это, по-видимому, лучше всего работает для эффективного запоминания. Но это отсутствие структуры создает ощущение блуждания по лесу, когда вы можете видеть только один лист за раз.
В некоторых областях уместен этот тип распыления. Например, если вы изучаете хирагану или большой набор слов на иностранном языке, структура между подсказками может быть не очень значимой - вам действительно нужно запомнить огромный мешок атомов.
Но в других областях - скажем, в физике или математике - атомы имеют значение только как часть более широкой структуры. Когда подсказки в этих областях работают хорошо, я подозреваю, что это потому, что они держатся на какой-то невидимой, более широкой структуре, которая уже находится в голове рецензента.
::Todo [[Когнитивный каркас]]? Или когнитивная архитектура?
Эта атомизация является основной причиной того, что [[Подсказки для интервального повторения сами по себе являются плохим средством коммуникации]] . Это также ограничивает их пригодность для долгосрочных личных заметок: [[Существующие системы интервального повторения препятствуют использованию вечнозеленых заметок]].
В Википедии вы можете включать подраздел одной статьи в другой. В Xanadu вы можете включать произвольные текстовые блоки в другой документ. В Roam вы можете включать поддеревья в другие поддеревья. Выразительная способность трансляции во многом зависит от того, насколько составными являются трансформируемые объекты.
Во всех приведенных выше примерах рассматриваемые объекты не особенно компонуемы! Произвольные абзацы в прозе не могут эффективно использоваться в нескольких местах: хорошая проза зависит от сюжета, повествования, контекста. Перевод текста почти всегда несвязный. Я боюсь, что большинство системных дизайнеров, которым понравился этот подход, влюблены в идею о технологиях, а не в идею письма или общения.
«Компоненты» Figma - интересный пример того, где что-то вроде включения работает намного лучше. Визуальные элементы часто можно переориентировать в нескольких связанных контекстах, особенно когда они частично параметризуемы.
"""
Q. Как выглядит хорошо работающая операция включения?
A. Компоненты дизайна Figma
Q. Почему включение текста часто приводит к несвязному письму?
A. Произвольные предложения, абзацы и текстовые диапазоны обычно не пишутся для работы в каком-либо контексте или последовательности. Это не многоразовые блоки - они сильно зависят от предыдущей прозы.
"""
[[Транклюзия ограничена компоновкой модели данных]]
Трансклюзия в информатике — включение одного электронного документа или его части в другие электронные документы посредством гипертекстовой ссылки. Трансклюзия обычно подразумевает отображение документа, на который делается ссылка. Документ (запись) отображается автоматически и доступен конечному пользователю. Кажется, что в результате трансклюзии образуется единый сложный документ, в то время как на самом деле его части были оперативно собраны из разных источников, которые могут храниться на разных удаленных друг от друга компьютерах.
С помощью трансклюзии реализуется модульность: ресурс можно собрать один раз, а затем повторно использовать во множестве документов. Тогда обновления и исправления, внесенные в ресурс, будут отображаться и во всех ссылающихся на него документах. Термин предложен Тедом Нельсоном в «нелинейной» книге 1980 года «Литературные машины» (книга составлена таким образом, что её части можно читать не по порядку).
См. также [[Желательные трудности, после Бьорк]]
!!!References
[[Reder, L., & Klatzky, R. L. (1994). Transfer: Training for performance. In D. Druckman & R. A. Bjork (Eds.), Learning, Remembering, Believing: Enhancing Human Performance (pp. 25–56). National Academies Press|https://doi.org/10.17226/2303](https://doi.org/10.17226/2303)]]
[[Бенджамин С. Блум]] (1985) характеризует три важных этапа в развитии юношеских талантов:
# Учащегося знакомят с занятием в приятном, часто игровом контексте. Они могут продемонстрировать «обещание», побуждая родителей дать четкие инструкции.
# Студент приступает к целенаправленной программе совершенствования, участвуя в обучении и практике.
# Студент обязуется изучать эту деятельность на дневном отделении, часто посещая специально для этого академию. На этом этапе студент зарабатывает себе на жизнь профессионально.
Эрикссон и др. (1993) предлагают четвертый этап: когда студент становится профессиональным практикующим, он работает, чтобы внести уникальный вклад в эту область (то есть стать «выдающимся» исполнителем).
"""
Q. В модели развития талантов Блума с чего начинается первая фаза?
A. Учащийся знакомится с заданием в игровой или приятной обстановке.
Q. В модели развития талантов Блума, как студент переходит от первой фазы ко второй?
A. Учащийся решает приступить к явному развитию, то есть через инструкции или практику
Q. Что происходит во второй фазе в модели развития талантов Блума?
A. Студент занимается серьезной практикой и обучением, хотя еще не полностью.
Q. В модели развития талантов Блума, как студент переходит от второй фазы к третьей?
A. Они берут на себя обязательство полностью посвятить себя этой области, обычно вкладывая средства в гораздо более серьезное обучение.
Q. В модели развития талантов Блума, как студент проходит третью фазу?
А. Они становятся профессионалами.
"""
!!!References
Bloom, B. S. (1985). Generalizations about talent development. In B. S. Bloom (Ed.), Developing talent in young people. Ballantine Books.
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. [[Эрикссон и др. - Роль преднамеренной практики в приобретении экспертной деятельности]]
Люди считают карточки чем-то тривиальным из школьных дней, поэтому они не относятся к их написанию очень серьезно. Но очень сложно написать хорошие подсказки для [[§Система интервального повторения]]. Например, хорошие подсказки:
* получить доступ к идее с разных сторон
* уловить одну точную мысль (вероятно, отражающую [[«Чанки» в человеческом познании]])
* избегать непреднамеренной двусмысленности
* краткие
* понять, что действительно важно в теме, а не только то, что легко запомнить
Для получения дополнительной информации см .: [[Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?]]
!!!Это сложнее, чем думают люди
К сожалению, не очевидно, что написанные вами подсказки плохие, поэтому люди часто не понимают, что их подсказки плохие. Это может привести к тому, что они недооценивают производительность или переоценят утомительную практику памяти с интервальными повторениями. Подробнее: [[В какой степени обзорные сессии предлагают оперативную обратную связь?]]
Одно из решений: [[Мнемоническая среда предоставляет подсказки, созданные экспертами]].
!!!Это облагается налогом, даже если ты знаешь как это делается
Даже если кто-то разовьет умение писать хорошие подсказки, это займет довольно много времени и когнитивно утомительно. Я считаю, что это еще один серьезный барьер на пути к широкому распространению.
Одно из решений: [[Мнемоническая среда предоставляет подсказки, созданные экспертами]].
!!!References
Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought? https://numinous.productions/ttft
Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html
NIelsen, M. (2019, January). Using spaced repetition systems to see through a piece of mathematics. http://cognitivemedium.com/srs-mathematics
[[Вечнозеленые заметки]] должны быть плотно связаны, и если вы будете следовать совету в разделе [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]], вы обнаружите, что легко ориентироваться по тропам связанных с ними идей. Но если несколько заметок связаны по теме или связаны через другую заметку, трудно перемещаться между ними по ссылкам в заметках.
Один пример: если у вас есть много небольших заметок о методах решения проблем в облачных системах, может быть полезно увидеть эти «соседние» заметки при просмотре конкретной заметки. Они не связаны напрямую, поэтому для них всем нет смысла связываться друг с другом. Вы можете сделать заметку «хаб» под названием «Решение проблем в облачных системах», которая содержит ссылки на все эти заметки, но вы все равно не сможете увидеть этих соседей из данной заметки. Вы теряете [[Периферийное зрение]] раздела обратных ссылок - сначала вам придется перейти к заметке "концентратор".
::TODO возможно [[Gingko]] является выходом::
Два решения:
* «Контурные заметки» могут создавать псевдоиерархии с порядком и структурой, ссылаясь на многие дочерние заметки. Тогда нам нужен пользовательский интерфейс для поддержки навигации между соседями «через» эти наброски.
* Теги (особенно иерархические теги) могут помочь, но им не хватает авторского порядка и структуры: [[Теги - неэффективная ассоциативная структура]].
!!!References
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
Когда вы начинаете творческий проект, вы (надеюсь) очень эмоционально связаны с ним, и все справочные материалы свежи в вашей памяти. Но очень сложно восстановить этот контекст, если вмешивается какая-то длительная задержка или если он требует большего внимания после того, как вы уже завершили его на эмоциональном уровне.
По теме: [[Лучшее время для написания темы вашей лекции - это примерно то время, когда вы ее читаете]].
* [[Культурные привычки по умолчанию заполняют свободное время чужими идеями]]
* [[В разговоре с другими часто подчеркиваются наиболее понятные элементы идеи]]
* [[Письменная практика усиливает понимание]]
* [[Думайте самостоятельно]]
* [[Литературные заметки бывают второстепенными и несвязанными]]
Два наставления, которые помогают: [[Быть любопытным]]; [[Скучайте]]
Ожидается, что квалифицированные работники умственного труда будут вводить новшества - давать ценные и оригинальные идеи. Если у них есть какое-то представление об идее, как они на самом деле воплощают эту идею в жизнь с течением времени? Как выглядит шаг? [[Откуда берутся идеи?]]
Моя интуиция заключается в том, что большинство работников умственного труда развивают идеи интуитивно, часто используя неявные процессы, но этот процесс в значительной степени не направлен и основан на надежде, что в какой-то момент возникнет понимание. Обычно они разрабатывают некоторые временные методы и редко работают над их последующим улучшением ([[Люди обычно развивают навыки до плато, а затем останавливаются]]). Я подозреваю, что это в основном потому, что не очевидно, что это навык, который можно улучшить ([[Значимость улучшения способствует развитию навыков]]).
Одно из возможных решений: [[Написание вечнозеленых заметок помогает накапливать понимание]]
Книги почти всегда написаны с очень линейной структурой, а сама форма носителя побуждает читателя двигаться по тексту линейно. Но умелые читатели редко читают линейно. Иногда они читают с намерением - ищут, как книга может помочь им ответить на конкретный вопрос. Или они могут сделать небольшой первый проход, чтобы понять структуру книги (см. [[Инспекционное чтение]]). Или они могут начать с указателя и сосредоточиться на наиболее релевантных отрывках.
Книги почти всегда написаны с очень линейной структурой, а сама форма носителя побуждает читателя двигаться по тексту линейно. Но умелые читатели редко читают линейно. Иногда они читают с намерением - ищут, как книга может помочь им ответить на конкретный вопрос. Или они могут сделать небольшой первый проход, чтобы понять структуру книги (см. [[Инспекционное чтение]]). Или они могут начать с указателя и сосредоточиться на наиболее релевантных отрывках.
Студенты [[Execute Program]] не могут сразу получить доступ ко всем урокам курса. Большинство уроков курса начинаются «закрытыми». Эти уроки зависят от других уроков в курсе: единственными первоначально разблокированными уроками являются {те, у которых нет зависимостей в курсе}. Уроки разблокируются только один раз {все их зависимости были не только прочитаны, но и недавно проверены (с помощью встроенных механизмов [[§Система интервального повторения]])}.
Это позволяет разработчикам курсов писать более целенаправленные уроки: уроки [[Execute Program предполагают твердое напоминание предыдущего материала]].
Вот как их пользовательский интерфейс объясняет этот механизм:
[img[Снимок экрана 2021-04-13 в 7.38.45 AM.png]]
Этот подход предполагает, что один экземпляр [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]]: ''вместо того, чтобы писать учебник, напишите последовательность гипер-сфокусированных уроков и предоставляйте их учащимся с течением времени по мере того, как они консолидируют знания''. Но: [[Эффективное планирование проверок находится в противоречии с закрытыми последовательностями курсов]].
https://notes.andymatuschak.org/ztWkeRtP1VRttCcrGPmDH6trs3vobziJMHT
Попытка адаптировать [[Мнемонический носитель]] к нетехническим текстам (например, с помощью [[Как написать хорошие подсказки|https://andymatuschak.org/prompts/]]:
* [[Особенно сложно написать постоянно запоминающиеся подсказки для нетехнических мнемонических текстов]].
* [[Закрытые удаления часто вызывают разочарование в нетехнических мнемонических текстах]].
* [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]].
По опыту автора:
* [[Написание нетехнических мнемонических текстов требует дополнительных описателей концепций]].
Анекдотические лакомые кусочки:
* Похоже, что также является причиной [[Мнемоническая среда может подтолкнуть читателей к более медленному и внимательному чтению]]
** Джеффри Литт : «Интеграция Orbit заставила меня замедлиться и более серьезно относиться к чтению. Несколько раз это помогало мне понять, что я бегло просматривал целые абзацы, даже не замечая, как мало я обращал внимания »
* Помогает с мотивацией - кажется настоящей инвестицией
** Джакомо Рандаццо : «Orbit не только подтолкнула меня к более внимательному чтению, но и послужила большим стимулом для того, чтобы потратить время на чтение эссе: я знаю, что буду поддерживать с ним связь с течением времени, создавая гораздо больше связей по сравнению с поверхностным. читать."
** NothingIsntTrivial «Я чувствую, что« получаю что-то от этого ». «
* Очень трудоемкий
** Джеффри Литт: для «чтения в Интернете» потребовалось гораздо больше усилий, чем я привык! Заставил меня мысленно «читать по бумаге».
** «Похоже на домашнее задание» / «вызывает стресс»
* Эмили : «орбита в недавнем эссе о @meaningness напоминает мне школьную домашнюю работу»
* Лукка : «Такое ощущение, что между чтением и ответом на подсказки существует огромная психологическая пропасть. Чтение для меня - это прогулка по странным и чудесным странам. Отвечать на запросы - очень холодное и серое занятие ».
* Кенни : «В целом это было немного неприятно - мне искренне нравится читать ваше письмо, и ответы на вопросы между ними были заметно другими. Я не «продан» на это, но я готов продолжить его тестирование!»
* Генри: «… Это как-то меня напрягало. Вместо того, чтобы читать (и без того интеллектуально насыщенный) текст, я чувствовал, что меня спрашивают или как-то в классе. Я прочитал около 30% статьи и ушел, потому что это было странно напряженно. То, что началось как приятный опыт чтения взглядов умного человека на метарациональность, превратилось в отражение моей собственной интеллектуальной недостаточности удержания. … Я осознаю, что отчасти это моя собственная отрицательная история (и точная оценка), когда я придерживаюсь новых сложных интеллектуальных концепций. Частично это была эмоциональная реакция на что-то более глубокое, чего я пока не могу понять. Часть меня хотела бы, чтобы я мог выбрать / отказаться вверху, а все Орбиты динамически скрывались бы внизу. Поскольку я слишком успешен, я просто не могу (не хочу?) Пропустить фиолетовые квадраты, но остановка, чтобы ответить на каждый вопрос, а затем прокрутка назад, чтобы найти ответы, делает чтение гораздо более трудоемким и тяжелым. Гораздо больше похоже на то, что я прохожу курс и собираюсь получить оценку (ick) вместо того, чтобы развивать свой собственный интеллектуальный ландшафт (yay). И в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». делает чтение более трудоемким и тяжелым. Гораздо больше похоже на то, что я прохожу курс и собираюсь получить оценку (отлично), а не развивать свой собственный интеллектуальный ландшафт (ура). И в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших других (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». делает чтение более трудоемким и тяжелым. Гораздо больше похоже на то, что я прохожу курс и собираюсь получить оценку (ick) вместо того, чтобы развивать свой собственный интеллектуальный ландшафт (yay). И в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших других (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». Меня просто восхищает то, что я получил такую интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». Меня просто восхищает то, что я получил такую интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно».
Подсказки предполагают, что люди слишком быстро усвоят абстракции
Лукка : «Тексты могут иметь дело с вариативностью понимания, потому что они обычно не требуют, чтобы вы понимали все сразу. Если вы не «получаете» подсказку, вас останавливают прямо на ходу ».
Наши мышцы и нервная система удивительно пластичны перед лицом целенаправленной практики (например, [[Целенаправленная практика, после Ericsson and Pool]]).
"""
(Эрикссон и Пул, 2016 г., стр.29, 34, 42).
Мировой рекорд по непрерывным отжиманиям - {10,507}.
Мировой рекорд подтягиваний - {4 654} за {12 часов}.
Лондонские извозчики изучают {25k} улиц.
Профессиональные скрипачи могут двигать руками с точностью до миллиметра с невероятной скоростью.
"""
По теме: [[Во многих сферах деятельности планка виртуозности стремительно поднялась]].
Классические операции Larry Tesler «вырезать» и «вставить» названы в честь физических аналогов, которые автор может использовать при редактировании композиции. Но, как указывает Тед Нельсон в своей книге Geeks Bearing Gifts , цифровая версия строго формальна и последовательна, тогда как физические действия по своей сути параллельны и неформальны. При физическом вырезании и наклеивании вы разрезаете свою работу, выкладываете ее на пол и переставляете части. По мере того, как вы исследуете соединения, они будут проходить через различные временные, «недействительные» конфигурации.
[img[DW5NK8_VQAAtWQT.jpeg]]
[img[DW5NPUeVoAAWPg2.jpeg]]
[img[DW5NQGnU0AEcz-v.jpeg]]
Стандартное цифровое вырезание и вставка предотвращает плавность физического процесса. Хуже того, нет даже программного обеспечения «экспертного уровня», которое позволяло бы что-то вроде оригинального поведения для сложных случаев использования. Подход, подобный подходу [[LiquidText]], может работать, но, похоже, в этой области есть много нерешенных проблем.
Это смутно связано с [[Периферийное зрение]]: вы хотите иметь возможность видеть здесь и управлять целым и частями одновременно, но вы не можете.
!!!References
Термин «вырезать и вставить», используемый писателями и редакторами в течение многих лет, относится к перегруппировке бумажных рукописей путем их фактического вырезания и физического перестановки на рабочем столе или полу. Это процесс параллельного созерцания и перестановки, когда вы смотрите на все части, перемещаете части, размещаете их во временном непоследовательном порядке и выбираете окончательную последовательность.
В 1984 году это изменилось: когда выходит Macintosh, они меняют значение слова «вырезать», чтобы скрыть, и значение «вставить», чтобы заменить . Честно говоря, многие люди, не только PARCies, воображают, что последовательный процесс сокрытия и подключения содержимого ТАК ЖЕ, что и параллельный процесс перегруппировки.
Этот первоначальный параллельный процесс реорганизации является фундаментальным при написании и редактировании, особенно в крупномасштабных проектах. Поскольку хорошего программного обеспечения для перегруппировки не существует, намного сложнее организовать большие проекты на компьютере, чем это было с пишущими машинками до PUI. Организация больших проектов стала намного более сложной, если вы не распечатаете и физически не вырежете и не вставите старый способ.
[[Ted Nelson’s chapter summary for his book, Geeks Bearing Gifts|http://geeks-bearing-gifts.com/gbgContents.html]]
[[Andy Matuschak on Twitter: “Process story! @mayli, @farrarscott, and I finished this endless report on our early math work (https://t.co/IHktxhJ9FC), but @cgingold convinced us we had the story all wrong. Despair, then: we printed it, cut it up, rearranged it, scribbled all over it, and taped it together|https://t.co/9uTMfRhVkj]]
Pixar начинала как технологическая компания, разрабатывая системы 3D-рендеринга в основном для рекламных целей. Но сейчас мы знаем его в первую очередь как киностудию. Фактически, это и то и другое, и каждая сторона делает возможной другую.
Pixar рассказывает интересные истории. Это верно для многих киностудий, но истории Pixar часто уникальны, потому что они рассказываются в среде, которую она изобрела и которая продолжает развиваться. Потребности историй определяют эволюцию медиа-технологий; Новые возможности 3D-анимации позволяют рассказывать новые виды историй.
Pixar был довольно успешным как бизнес, но вовсе не за счет прямых продаж их технологий: [[Продажи RenderMan, вероятно, не важны для бизнеса Pixar]].
В целом это кажется мощной стратегией: [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].
Related: [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
Это гугл транслейт статьи размещенной на сайте
http://www.csdl.tamu.edu/~shipman/formality-paper/harmful.html
Формальность считается вредной: опыт, новые темы и направления
Фрэнк М. Шипман III и Кэтрин К. Маршалл
Исследовательский центр Xerox в Пало-Альто
3333 Coyote Hill Road
Palo Alto, CA 94304
(415) 812 - 4740
Эл. Почта: {shipman, marshall}@parc.xerox.com
АБСТРАКЦИЯ
В этой статье рассматривается опыт проектирования, разработки и работы с пользователями различных интерактивных компьютерных систем. Авторы предполагают, основываясь на ряде опытов, что причиной ряда неожиданных трудностей во взаимодействии человека с компьютером является нежелание пользователей сделать структуру, контент или процедуры явными. Помимо пересказа опыта использования системы, в этой статье обсуждается, почему пользователи часто оправдывают отказ от формализмов и как разработчики системы могут предвидеть и компенсировать проблемы, с которыми пользователи сталкиваются при явном выражении неявных аспектов своих задач. В качестве подходов к решению этой проблемы предлагаются механизмы инкрементной и системной формализации, а также методы оценки ситуации задачи.
КЛЮЧЕВЫЕ СЛОВА: формализация, структура, гипермедиа, аргументация, системы, основанные на знаниях, групповое ПО, представление.
1. ВВЕДЕНИЕ
Когда люди используют компьютерные системы, их взаимодействие обычно опосредуется абстрактными представлениями, которые описывают и ограничивают некоторые аспекты их работы или ее содержания. Компьютерные системы используют эти абстрактные представления для поддержки действий своих пользователей различными способами: путем структурирования задачи или методов работы пользователей, путем предоставления пользователям вычислительных услуг, таких как управление и поиск информации, или просто делая это возможным для системы. для обработки данных пользователей. Эти абстракции часто называют формализмами.
Когда формализмы встроены в компьютерные системы, пользователям часто приходится заниматься деятельностью, которая обычно не является частью их задач: разбиение информации на фрагменты, характеризация информации с помощью ключевых слов, категоризация информации или определение отношений между частями информации. Например, в операционной системе Unix эти действия могут соответствовать созданию файлов, присвоению им имен, помещению их в структуру каталогов или описанию зависимостей в файлах make или созданию символических ссылок между каталогами или файлами.
Абстрактные представления, которые компьютерные системы навязывают пользователям, могут включать в себя различные степени и типы формализации помимо тех, к которым пользователи привыкли. В некоторых случаях для использования компьютерного инструмента требуется небольшая дополнительная формализация; текстовые редакторы, такие как vi или emacs, не требуют дополнительной формализации, намного превышающей ту, которая требуется другими механизмами для помощи в создании линейного текста. Соответственно, компьютер может выполнять небольшую дополнительную обработку без применения сложных методов контент-анализа. В других случаях большая формализация требует большей вычислительной мощности для решения задачи; Процессоры идей и инструменты написания гипермедиа требуют большей спецификации структуры, но они также предоставляют функциональные возможности, которые позволяют пользователям реорганизовывать текст или представлять его в режиме онлайн как нелинейное произведение. Эти системы и их встроенные представления называются полуформальными, поскольку они требуют некоторого - но не полного - кодирования информации в схематической форме. На другом конце спектра формальные системы требуют, чтобы люди кодировали материалы в представлении, которое может быть полностью интерпретировано компьютерной программой. Когда степень или тип формализации, требуемой компьютерной системой, превышает ту, которую пользователь ожидает, нуждается или готов терпеть, пользователь часто отвергает систему.
В этой статье мы предполагаем, что создатели систем, поддерживающих интеллектуальную работу, такую как проектирование, написание, систематизация и интерпретация информации, особенно рискуют ожидать слишком большого уровня формальности от своих пользователей. Чтобы понять последствия навязывания или требования формальности, мы опираемся на наш собственный опыт разработки и использования таких систем.
Во-первых, мы извлекаем уроки из некоторых анекдотических рассказов о нашем собственном опыте работы с этими типами систем, а также из подтверждающих отчетов других. Мы обсуждаем возможные причины, по которым пользователи отвергают формализм, включая проблемы, связанные с когнитивными накладными расходами, неявным знанием, преждевременной структурой и ситуационной структурой. Затем мы предлагаем некоторые решения для разработчиков систем, которые пытаются избежать подобных ошибок. В частности, мы фокусируем наши предложения на механизмах, которые основаны на постепенной системной формализации и реструктуризации по мере того, как люди переосмысливают свои задачи; мы также рассматриваем способы работы дизайнеров с пользователями для оценки соответствующих формализмов для решения поставленной задачи.
2. УРОКИ ИЗ ОПЫТА ФОРМАЛИЗМОВ
Чтобы понять, как формализация влияет на использование и принятие системы, мы исследуем пять различных типов систем, поддерживающих интеллектуальную работу: гипермедийные системы общего назначения, системы для фиксации аргументации и обоснования дизайна, системы, основанные на знаниях, системы группового программного обеспечения и инструменты разработки программного обеспечения. Некоторые из этих систем, например те, которые предназначены для обоснования дизайна, основаны на определенных формализмах, отражающих предписывающий метод или подход к работе; другие, такие как системы гипермедиа, требуют разработки произвольной формальной структуры с учетом более абстрактных, менее предписывающих строительных блоков. Каждый тип системы обращается к совершенно разному аспекту работы пользователя, но все они продвигают наш анализ основных проблем, с которыми сталкиваются разработчики, когда они используют системы для поддержки интеллектуальной работы.
Системы, которые мы используем для построения нашей дискуссии, оказались успешными по многим показателям; тем не менее, все они демонстрируют аналогичные проблемы с взаимодействием с пользователем, которые могут быть отнесены на счет лежащих в их основе формализмов. Чтобы сосредоточить обсуждение на этих формализмах, мы намеренно опускаем любое описание интерфейсов, с помощью которых пользователи взаимодействуют с формализмами. Поступая таким образом, мы надеемся раскрыть опасно соблазнительную линию рассуждений: если вы создадите правильный интерфейс для встроенного представления, пользователи формализуют желаемый аспект своей области задач.
Что системы, поддерживающие интеллектуальную работу, требуют формализации пользователями? Во-первых, многие гипермедийные системы пытаются заставить своих пользователей сделать структуру явной. За некоторыми исключениями, они предоставляют пользователям возможности для разделения текста или других носителей на фрагменты (обычно называемые узлами) и определения способов, которыми эти фрагменты связаны между собой (в виде ссылок). Этот формализм предназначен либо как вспомогательное средство для навигации, либо как механизм для выражения того, как организована информация, без каких-либо формальных требований к содержанию.
Системы, поддерживающие аргументацию и обоснование дизайна, идут на шаг дальше, чем гипертекстовые системы общего назначения: они обычно требуют категоризации контента в рамках предписывающей структуры (например, Rittel's Issue-Based Information Systems (IBIS) [Kunz, Rittel 70 ]) и соответствующая формализация того, как организованы эти части контента. Эта предписывающая структура рассматривается как способствующая методологии решения задачи.
Системы, основанные на знаниях, построены с расчетом на обработку контента [Waterman 86]. Таким образом, чтобы добавить или изменить знания, которые обрабатывает система, пользователи должны кодировать структуру и контент домена в четко определенной схеме представления. Этот уровень формализации встроен в систему с аргументом, что пользователи получат значительную окупаемость за эти дополнительные усилия.
Системы группового программного обеспечения, поддерживающие координацию, являются интересным противовесом системам, основанным на знаниях: они могут требовать от пользователей не формализации структуры своей информации или ее содержания, а их собственного взаимодействия. Этот тип формализации позволяет системе помогать координировать действия между пользователями, такие как планирование встреч или распространение информации по рабочему потоку [Ellis et al. 91].
Формализмы, используемые в каждом из этих типов систем, включают компьютерную коммуникацию или координацию с другими людьми или сбор и организацию информации. Для сравнения мы также обсуждаем усилия по поддержке процесса разработки программного обеспечения, системы, предназначенные для помощи людям в создании формального артефакта, компьютерной программы.
Изучив этот диапазон систем, мы обнаружили, что формализмы структурируют деятельность неожиданным или непреднамеренным образом, по-разному понимаются разными людьми, могут быть незнакомым дополнением к ранее знакомой задаче, могут привести к потере людьми информации, которая не подходит и, как правило, требуют, чтобы люди излагали в явном виде знания, которые может быть трудно или нежелательно сформулировать. Наши обсуждения углубляются в эти уроки и иллюстрируют их конкретными анекдотами.
2.1 Гипермедиа общего назначения
Системы гипермедиа обычно обеспечивают полуформальное представление, в котором фрагменты текста или других носителей, называемые узлами, могут быть связаны через навигационные ссылки. Важная цель этих ссылок - приспособить индивидуальные шаблоны чтения, поддерживая нелинейный обход документа. Авторы должны формализовать структуру при создании таких гипердокументов.
Чтобы научиться писать и, в меньшей степени, научиться читать в гипермедийной системе, требуется время. Наблюдающие пользователи привыкают к KMS [Akscyn et al. 88] во время его использования в Медицинском колледже Бейлора стало очевидно, что людям нелегко принять новые авторские режимы. KMS - это гипермедийная система на основе страниц; Авторы записывают информацию на электронных страницах, на которые можно ссылаться с помощью навигационных ссылок. Некоторые начинающие пользователи писали иерархические схемы и полные страницы текста, которые они могли бы соединить одной ссылкой со следующей страницей текста, как если бы они все еще использовали инструмент выделения текста и текстовый процессор. По умолчанию они использовали методы создания систем, с которыми ранее сталкивались, они избегали решения о том, какая информация должна быть объединена или какие ссылки должны быть созданы. Информация, умещавшаяся на странице, стала фрагментом со ссылкой на следующую страницу. Таким образом, новая среда с ее незнакомым формализмом в сочетании с существующей практикой дает неожиданные результаты.
Опыт внутреннего использования ранних прототипов Virtual Notebook System (VNS) [Shipman et al. 89], еще одна страничная гипермедийная система, также проиллюстрировала дополнительные трудности с разделением на части и связыванием информации. Организационные соглашения были приняты в группах, делящихся «записными книжками». Эти высокоуровневые соглашения помогли понять информацию из записных книжек других пользователей, но по-прежнему существовала большая разница между отдельными людьми в объеме информации на странице и количестве созданных ссылок. Более недавнее использование VNS за пределами сообщества разработчиков показывает большие различия в использовании системы [Brunet et al. 91]. Активные пользователи создают наборы структурированных шаблонов для повторного использования, тем самым сокращая накладные расходы, связанные с добавлением структуры к информации, которую они вводят. В таком случае, новый носитель выдвинул дополнительные требования к задаче; об использовании формализмов пришлось договориться внутри рабочей группы.
NoteCards [Halasz et al. 87] - это гипермедийная среда, в которой используется метафора учетных карточек. Многие пользователи NoteCards сообщали об аналогичных проблемах с написанием нелинейного повествования на новом носителе. Опыт второго автора по обучению информационных аналитиков использованию карточек NoteCard показал, что у них были трудности с разбивкой информации на карточки («Насколько велика идея? Могу ли я поместить на карточку более одного абзаца?»), Присвоением имен карточкам («Как я это назову? ? »), и карточки (« Куда мне это положить? »). Типизированные ссылки - самый надежный механизм формализации - использовались редко, а когда и использовались, то редко использовались последовательно. Как направление ссылки, так и семантика ссылки оказались проблематичными. Например, ссылки, именуемые «пояснениями», иногда связывали пояснительный текст с поясняемыми карточками; в других случаях направление было обратным. Более того, добавление «примерных» ссылок нарушило семантику более ранних объяснительных ссылок; пример можно легко рассматривать как объяснение. Монти документирует аналогичные проблемы в своих наблюдениях за структурированием информации одним аналитиком в NoteCards в [Monty 90].
В отличие от NoteCards, которые поддерживали фиксацию определенных взаимосвязей между порциями информации, Aquanet [Marshall et al. 91] имеет существенно более сложную модель гипертекста, которая включает определяемую пользователем схему представления знаний в виде фреймов [Minsky 75] с компонентом графического представления. Мы заметили, что даже у опытных пользователей с опытом представления знаний были проблемы с формализацией ранее неявных структур. Пример крупномасштабной аналитической задачи документирует этот опыт в [Marshall, Rogers 92].
2.2 Аргументация и обоснование дизайна
В последнее время появилось много различных предложений по встраиванию конкретных представлений в системы для фиксации аргументации и обоснования дизайна. Некоторые из них используют вариации на структуру микро-аргументов Тулмина [Toulmin 58] или проблемную информационную систему Риттеля (IBIS) [Kunz, Rittel 70]; другие изобретают новые схемы, такие как язык представления дизайна Ли [Lee 90] или вопрос-вариант-критерии Маклина и его коллег [MacLean et al. 91].
Некоторые теоретики дизайна утверждают, что записи формальной аргументации или обоснования дизайна принесут далеко идущие выгоды: более короткое время производства, более низкие затраты на обслуживание продуктов и лучший дизайн [Jarczyk et al. 92]. Эксперименты с механизмами для обоснования дизайна - из использования PHI МакКоллом и соавторами [McCall et al. 83] до Якемовича и Конклина об использовании itIBIS [Якемович, Конклин 90] - можно интерпретировать и как успехи, и как неудачи. Эти методы привели к долгосрочному снижению затрат, но успех зависел от серьезного социального давления, обширного обучения или постоянной помощи со стороны человека. Фактически, Конклин и Якемович сообщили, что им не удалось убедить другие группы использовать itIBIS вне команды разработчиков Якемовича. и что протоколы собраний нужно было преобразовать в более традиционную форму прозы, чтобы привлечь любую из этих сторонних групп [Конклин, Якемович 91]. Подобно универсальным гипермедийным системам, системы аргументации и обоснования дизайна вынуждают пользователей разбивать и классифицировать информацию в соответствии с ее ролью, например проблемой, позицией или аргументом. Пользователи этих методов должны затем указать связи между блоками, такие как ответы, поддержки или противоречия ссылкам. Мы заметили несколько проблем, с которыми пользователи сталкиваются при эффективной формализации обоснования своего дизайна или аргументации в этом типе системы; эти проблемы можно предсказать, исходя из нашего опыта работы с гипермедиа. Системы аргументации и обоснования дизайна заставляют своих пользователей разбивать и классифицировать информацию в соответствии с ее ролью, например проблемой, позицией или аргументом. Пользователи этих методов должны затем указать связи между блоками, такие как ответы, поддержки или противоречия ссылкам. Мы заметили несколько проблем, с которыми пользователи сталкиваются при эффективной формализации обоснования своего дизайна или аргументации в этом типе системы; эти проблемы можно предсказать, исходя из нашего опыта работы с гипермедиа. Системы аргументации и обоснования дизайна заставляют своих пользователей разбивать и классифицировать информацию в соответствии с ее ролью, например проблемой, позицией или аргументом. Пользователи этих методов должны затем указать связи между блоками, такие как ответы, поддержки или противоречия ссылкам. Мы заметили несколько проблем, с которыми пользователи сталкиваются при эффективной формализации обоснования своего дизайна или аргументации в этом типе системы; эти проблемы можно предсказать, исходя из нашего опыта работы с гипермедиа.
Во-первых, люди не всегда могут разбивать взаимосвязанные идеи; мы наблюдали, например, позиции с заложенными в них аргументами. Во-вторых, люди редко соглашаются с тем, как информация может быть классифицирована и соотнесена в этой общей схеме; то, что один человек считает аргументом, может быть проблемой для другого. Оба автора активно спорили со своими соавторами о том, как взаимосвязаны части логического обоснования дизайна или аргументы, и об общих эвристиках для кодирования операторов в мире как частей одной из этих схем представления (см. [Marshall et al. 91] для краткое обсуждение опыта совместной работы с использованием структур Тулмина). Наконец, всегда есть информация, которая оказывается между трещинами, независимо от того, насколько хорошо продумано ее формальное представление.
2.3 Системы, основанные на знаниях
Системы, основанные на знаниях, уже давно поддерживают цель, чтобы пользователи добавляли или исправляли знания в системе. Получение знаний конечным пользователем налагает на пользователей ряд требований формализации. Пользователи должны изучить представление знаний, используемое системой, даже если оно скрыто хорошим интерфейсом, иначе они не будут полностью понимать последствия своих изменений.
Пепер и его коллеги применили другой подход к проблеме создания экспертных систем, которые пользователи могут изменять [Peper et al. 89]. Они устранили механизм вывода, оставив интерфейс гипермедиа, в котором пользователям задавали вопросы и на основе их ответов направляли к новому месту в документе. Например, пользователь может увидеть страницу с вопросом: «Загорелся ли предупреждающий свет?» с двумя ответами: «Да» и «Нет». Каждый ответ представляет собой ссылку на дополнительные вопросы или информацию, основанную на ответе на предыдущий вопрос. С помощью этой системы пользователи могли добавлять новые вопросы или редактировать старые вопросы на английском языке, поскольку компьютер не обрабатывал информацию. Уменьшая потребность в формализованных знаниях, они достигли преимущества в создании модифицируемой системы,
Другой подход демонстрируется инструментами изменяемости конечным пользователем (EUM), разработанными для поддержки дизайнеров в изменении и создании формальных знаний предметной области с повестками дня, пояснениями и примерами [Fischer, Girgensohn 90]. В описании пользовательских исследований инструментов EUM Гирдженсон отмечает, что большинство проблем, обнаруженных в последнем раунде тестирования, «были связаны с системными концепциями, такими как классы или правила [Girgensohn 92]». Короче говоря, эти исследования пользователей показали, что, хотя инструменты EUM значительно упростили ввод знаний, у пользователей все еще были проблемы с манипулированием формализмами, налагаемыми базовой системой.
2.4 Системы групповой работы
Системы группового программного обеспечения, требующие формализации процедуры и взаимодействия, страдают от многих из тех же проблем, что и системы, требующие формализации структуры и содержания. Например, системы, которые расширяют электронную почту путем присоединения свойств или типов к сообщениям, требуют от своих пользователей, чтобы они точно классифицировали, какой тип сообщения они отправляют или какой тип ответа является приемлемым. Опыт работы с такими системами, как Coordinator [Winograd, Flores 86] и Information Lens [Malone et al. 86] отмечают, что многие пользователи игнорируют формальные аспекты таких систем и обычно используют их в качестве базовых систем электронной почты [Bullen, Bennett 90].
Системы, ориентированные на координацию, несут дополнительное бремя формализации социальных практик, которые в значительной степени остаются неявными в нормальных человеческих взаимодействиях. Системы автоматического планирования, например, получили ограниченное признание [Grudin 88]; оказалось, что пользователи не желают описывать свои обычные методы принятия решений о том, стоит ли и когда назначать встречу с другими людьми. Те же правила расписания, которые применяются к вашему боссу, неприменимы к незнакомцу, но явно выражать такие различия не только сложно, но и нежелательно в социальном плане.
Опыт работы с системами рабочего процесса, системами, которые автоматически направляют информацию и работают с определенными процедурами, показывает, что системы без возможности обрабатывать исключения из формализованной процедуры не могут поддерживать большое количество случаев, когда требуются исключительные процедуры [Ellis et al. 91]. Можно утверждать, что почти все служебные процедуры оказываются исключениями из установленной формы [Сучман 87]. Кроме того, может быть сложно определить, какие процедуры кодировать. Закодированы ли процедуры, описанные в корпоративном руководстве, или те, которые фактически соблюдаются? Как получаются фактические процедуры? Придает ли кодирование реальных процедур легитимность, которой будут сопротивляться те, кто продвигает корпоративные процедуры? Формализация такой информации может быстро привести к политической битве, первой жертвой которой является система документооборота.
2.5 Урок программной инженерии
Инструменты для поддержки процесса разработки программного обеспечения отражают многие из уже описанных нами трудностей. Как и в вышеупомянутых ситуациях, люди (в данном случае включая программистов) должны явно передавать информацию компьютеру. Интерфейсы, через которые происходит это общение, в форме инструментов спецификации или языков программирования, часто являются частью проблемы, но они вносят только то, что Брукс называет «случайной сложностью» [Brooks 87], в общую задачу. Независимо от того, использует ли человек всплывающие меню, диалоговые окна, «англоязычные» формальные языки или языки программирования низкого уровня для явного изложения информации, человек все равно должен знать, что он хочет заявить, будь то связь между двумя частями текста или сложный алгоритм.
В программной инженерии решение о том, что должно быть заявлено явно (спецификация и фактический программный код), называется «восходящей деятельностью», чтобы отличить ее от «нисходящей деятельности» по созданию экземпляра спецификации [Myers 85]. Инструменты программной инженерии, которые сосредоточены на восходящей деятельности, предназначены для поддержки процесса разработки спецификации, хранения и извлечения информации, связанной с этим процессом, и визуализации результата. Несмотря на то, что до сих пор нет результатов об успехе инструментов проектирования апстрима, их методы могут быть использованы для поддержки формализации в других четырех классах систем.
3. ПОЧЕМУ НЕ ТРЕБУЕТСЯ ФОРМАЛИЗАЦИЯ ПОЛЬЗОВАТЕЛЕЙ
Широкий спектр примеров, которые мы обсудили в предыдущем разделе, подчеркивает повсеместность проблем, связанных с принудительной формализацией. В этом разделе мы объясняем, почему мы считаем, что пользователи принимают правильные решения в некотором смысле, сопротивляясь преждевременной, ненужной, бессмысленной или когнитивно затратной формализации.
С точки зрения пользователя формализация сопряжена с множеством рисков. «Что, если я обязуюсь выполнить эту формализацию только для того, чтобы позже узнать, что это неправильно?» «Что мне делать, если идеи или знания являются неявными и я не могу их формализовать?» «Зачем мне тратить время на оформление этого, когда у меня есть другие дела?» «Зачем мне это формализовать, если я не могу ни с кем договориться о том, какой должна быть формализация?» Все это правильные вопросы, и ответы, которые дают системы, часто недостаточны, чтобы убедить людей использовать формальные аспекты системы.
3.1 Когнитивные накладные расходы
Добавление формализованной информации в компьютерную систему сопряжено со многими когнитивными издержками. Прежде всего, пользователи должны выучить формальный язык системы. В некоторых областях, таких как проектирование схем, есть определенные формальные языки (например, принципиальные схемы) для описания определенного типа информации. Более общие формальные языки, такие как производственные правила или фреймы, почти никогда не используются для задач, не связанных с компьютером. Хотя основанные на знаниях механизмы поддержки и интерфейсы могут улучшить способность пользователей успешно использовать формальные языки, опыт Гирдженсона показывает, что системные концепции, связанные с базовыми представлениями, по-прежнему создают серьезные препятствия для их использования [Girgensohn 92].
Даже зная формальный язык системы, пользователи сталкиваются с несоответствием между своим пониманием информации и формальным представлением системы; они сталкиваются с концептуальным разрывом между целями пользователя и интерфейсом, предоставляемым системой. Норман описывает требования для преодоления этого разрыва или «пропасти исполнения»:
«Разрыв от целей к физической системе преодолевается четырьмя сегментами: формирование намерения, определение последовательности действий, выполнение действия и, наконец, установление контакта с механизмами ввода интерфейса». [Норман 86] (стр. 39)
Как это подразумевает, людям сложно часто использовать формализмы из-за множества дополнительных шагов, необходимых для определения чего-либо. Многие из этих дополнительных решений касаются разбиения на фрагменты, связывания и маркировки, где формальные языки требуют гораздо более четко определенных границ, связей между фрагментами и меток для таких связей, чем их неформальные аналоги.
Препятствие, созданное этим концептуальным разрывом между целями пользователей и формальными языками системы, наблюдалось в раннем прототипе «сопоставителя профилей интересов» Virtual Notebook System. Цель сопоставителя профилей заключалась в том, чтобы позволить пользователям системы находить других пользователей с определенными интересами и опытом. Словарь, используемый в профилях, представлял собой медицинские предметные заголовки (MeSH), набор из примерно 20 000 терминов, разделенных примерно на двенадцать взаимосвязанных деревьев (образующих направленный ациклический граф), который используется медицинскими журналами для индексации статей. Для определения профиля интересов потребовалось выбрать термины из иерархии концепций, которые лучше всего описывают интересы. Запросы для поиска людей также требовали выбора терминов из терминов MeSH и добавления «диапазонов соответствия». так что все термины в данном диапазоне в иерархиях MeSH будут считаться совпадающими. Диапазоны соответствия были необходимы, потому что MeSH был достаточно большим, чтобы столкнуться с проблемой словарного запаса [Furnas et al. 87] - люди, использующие разные термины для описания одной и той же темы. С увеличением выразительности запросов стало труднее определять запросы. Работа над сопоставителем профилей была прекращена, потому что усилия, необходимые для определения интересов и запросов с достаточной ясностью, превзошли полезность услуги, которую должна была предоставлять система. С увеличением выразительности запросов стало труднее определять запросы. Работа над сопоставителем профилей была прекращена, потому что усилия, необходимые для определения интересов и запросов с достаточной ясностью, превзошли полезность услуги, которую должна была предоставлять система. С увеличением выразительности запросов стало труднее определять запросы. Работа над сопоставителем профилей была прекращена, потому что усилия, необходимые для определения интересов и запросов с достаточной ясностью, превзошли полезность услуги, которую должна была предоставлять система.
В эксперименте по применению анализа зависимостей, основанного на предположениях (ATMS) (описанного в [de Kleer 86]), к сетям микроаргументных структур Тулмина в NoteCards, один из авторов пришел к выводу, что когнитивные затраты были не соизмеримы с результатами, хотя анализ зависимостей долгое время был целью явного представления аргументов в виде аргументов. Хотя гипертекстовое представление неформальных силлогистических рассуждений, присущих структурам Тулмина (тройка данных-требований-ордеров), фиксирует отношения зависимости, необходима дополнительная формализация для выполнения автоматического анализа с помощью модели ATMS. В частности, было важно выявить предположения и противоречивые узлы. Было трудно не только выявить противоречия в реальных данных (убеждение было квалифицированным, а не абсолютным) и было невозможно отслеживать относительные значения истинности с течением времени, но также - и что наиболее важно - к тому времени, когда были определены противоречия и были определены значения относительной истинности. , значительная часть оценки сети была выполнена пользователем. В этом случае дополнительная обработка, выполняемая механизмом ATMS, не принесла особой пользы.
3.2 Неявное знание
Неявные знания - это знания, которые пользователи используют, не осознавая их использования [Polanyi 66]. Неявные знания представляют собой особенно сложную проблему для добавления информации в любую систему, поскольку они явно не признаются пользователями. Проблема неявного знания привела к появлению методов инженерии знаний, нацеленных на выявление опыта, обычно не осознаваемого экспертами, таких как метод, описанный Митталом и Димом:
«Мы считаем, что эксперты не могут достоверно дать отчет о своем опыте: мы должны использовать их опыт для решения реальных проблем, чтобы извлечь и смоделировать их знания». [Mittal, Dym 85] (стр. 34)
Когда такой самоанализ становится необходимым для создания и применения формального представления во время задачи, он обязательно прерывает задачу, структурирует и изменяет ее. Эти изменения могут отрицательно сказаться на способности пользователя выполнять свою задачу. Hutchins et al. обсуждают такую модификацию задачи, когда говорят:
"Хотя перемещение интерфейса ближе к намерениям пользователя может затруднить реализацию некоторых намерений, изменение концепции домена пользователя может вообще предотвратить возникновение некоторых намерений. Таким образом, хотя хорошо разработанный язык специального назначения может дать пользователю мощный способ размышления о домене, это также может ограничить гибкость пользователя, чтобы думать о домене по-разному ". [Hutchins et al. 86] (стр. 108)
Примером такого вмешательства является наблюдение МакКолла о том, что студентам-дизайнерам сложно представить аргументацию в стиле IBIS, хотя видеозаписи их сессий дизайна показывают, что их естественные обсуждения следуют этой структуре [Fischer et al. 91]. Физиологический пример вмешательства, которое может вызвать осознание неявного знания, - это дыхание (также от МакКолла). Когда человека просят дышать нормально, его нормальное дыхание прерывается. Более того, есть вероятность, что самоанализ о том, что означает нормальное дыхание, приведет к тому, что дыхание человека станет ненормальным - преувеличенно поверхностным, слишком глубоким, нерегулярным.
Многие из представлений, которые дизайнеры встроили в системы для фиксации неявных знаний, являются результатом анализа существующего материала. Например, представления аргументов часто выводятся из анализа естественного аргументативного дискурса: речь или текст разбиваются на дискурсивные единицы; единицы дискурса классифицируются в соответствии с их функциональными ролями; тогда отношения между дискурсивными единицами описываются в общих чертах. Но, как мы видим из приведенного выше примера IBIS, апостериорный анализ сильно отличается от генерации. Когда эти описательные модели предоставляются пользователям, им очень трудно формализовать знания в процессе их создания или производства.
3.3 Преждевременная структура
Одна хорошо известная причина, по которой пользователи не будут формализовать, - это негативные последствия преждевременного или ненужного наложения структуры [Halasz 88] [Shum 91]. Перенос информации из одной формализации в другую может быть сложнее, чем формализация информации из неформального государства.
В своих исследованиях того, как люди организовывали информацию в своих офисах, Мэлоун обнаружил, что офисные работники ощущают негативные последствия преждевременного структурирования информации [Malone 83]. В частности, один из участников исследования Мэлоуна сказал о стопке бумаг, ожидающих отправки:
«Вы не хотите убирать это, потому что таким образом вы никогда не встретите их снова. ... это почти как если бы их не было, значит, мне не нужно их характеризовать ... отложите пока необходимость решить - либо использовать, решить, как их использовать, либо решить, где их разместить ». [Мэлоун 83] (стр. 107)
Эта цитата указывает на мнение, что информация, формализованная неправильно или непоследовательно, будет труднее использовать или просто будет менее полезной, чем информация, не формализованная. Эта проблема также может наблюдаться в структурах каталогов UNIX, Mac OS или DOS. Многие пользователи имеют большое количество несвязанных файлов в каталоге (или папке) верхнего уровня на их компьютере или в учетной записи. Многие из этих пользователей знают, как создавать подкаталоги или папки для организации своих файлов, но откладывают классификацию до тех пор, пока у них не «появится больше времени» или «беспорядок станет слишком плохим». Для этих пользователей ощутимая выгода от организации файлов не компенсирует усилия, необходимые для организации файлов, и возможные затраты, связанные с неправильной характеристикой файлов.
3.4 Разные люди, разные задачи: ситуационная структура
Трудности создания полезных формализаций для поддержки отдельных лиц усугубляются, когда разные люди должны совместно использовать формализацию. Можно провести аналогию между совместной формализацией и написанием юридического документа для нескольких сторон, преследующих разные цели. Лучшее, на что можно надеяться в любом случае, - это результат, достаточно расплывчатый, чтобы его можно было интерпретировать приемлемо для всех участников; двусмысленность и неточность используются продуктивно. Формализация затрудняет такие соглашения, поскольку требует, чтобы формализованная информация была четко изложена, чтобы не было места для различных интерпретаций.
Чтобы разные люди пришли к соглашению о формализации, они должны договориться о разделении, маркировке и связывании информации. Как уже обсуждалось в контексте предыдущих примеров использования инструментов для фиксации обоснования дизайна, перспективы согласования того, как информация кодируется в фиксированном представлении, в лучшем случае трудны.
Differences occur not just within a group of users but between groups as well. A study of the communication patterns in biomedical research groups showed that the characteristics of the research being performed influenced the organization and communication of the research groups [Gorry et al. 78]. A system which attempts to impose a particular structure on communication will likely not match the appropriate communication structure for any given group.
The problem of situational structure does not occur only when multiple people use the same structure but can also occur when the user's task changes. The context of the new task may not match the existing structuring scheme. In listing what are commonly considered the most important properties of a formal system, Winograd and Flores include:
"There is a mapping through which the relevant properties of the domain can be represented by symbol structures. This mapping is systematic in that a community of programmers can agree as to what a given structure represents." [Winograd, Flores 86] (page 85)
Experience and intuition seems to indicate that domains for which this is true may be quite small and task dependent. Anecdotal evidence shows that a representation that is suitable for one task may not be appropriate for a very similar related task. For example, Marshall and Rogers describe [Marshall, Rogers 92] how a representation developed for the process of assessing foreign machine translation efforts proved to be of limited value in the closely related task of evaluating Spanish-English machine translation software. The second task shared a subset of the content with the first task, but the representation did not formalize appropriate aspects of the material. Attributes like speed and accuracy as well as cost and computer platform turned out to be very important in evaluating software, but only of secondary importance in a general assessment of the field, while in the general assessment of the field, the technical approach of the various systems was deemed important.
Короче говоря, разные ситуации требуют разной поддержки пользователей и, следовательно, разных формализованных структур [Сучман 87].
4. ИЗУЧЕНИЕ ПРЕДУПРЕЖДЕНИЯ ПОТРЕБНОСТЕЙ ПОЛЬЗОВАТЕЛЯ
Хотя трудности, вызванные формализацией, широко распространены, и пользователи оправданы в своем сопротивлении или отказе от некоторых задач формализации, есть некоторые частичные решения этой дилеммы системного проектирования. Во-первых, проектировщики должны решить, какая информация должна быть формализована для выполнения задачи, и предусмотреть это. Во-вторых, дизайнеры должны определить, какие другие услуги или преимущества для пользователей может предоставить компьютер, исходя из компромиссов, вводимых дополнительной формализацией. Наконец, что наиболее важно, дизайнеры должны ожидать, допускать и поддерживать реконцептуализацию и инкрементную формализацию в более длительных задачах.
4.1 Основы для задачи
Некоторая информация должна быть формализована, чтобы компьютерная система могла выполнять практически любую задачу. Текстовый процессор должен знать порядок символов, программа рисования должна знать цвет и форму рисуемых объектов, а анализатор схем должен знать схему логической схемы. Взаимодействие, основанное на формализме ограниченной области, может стать прозрачным, когда пользователь научится выражать информацию в формализме. Неспособность заставить пользователя формализовать информацию, которая важна для центральной задачи, означает отказ от системы.
Но какова основная задача более универсальных систем для поддержки интеллектуальной работы и что с точки зрения информации для этого требуется? Что необходимо формализовать, чтобы система поддерживала организацию и обмен информацией? Нужно ли просто ввести контент в систему, или для того, чтобы система работала, нужно указать дополнительную информацию, такую как гипертекстовые ссылки и метки? Чтобы ответить на эти вопросы, можно применить методы совместного проектирования, чтобы получить представление о методах работы пользователей и формализмах, необходимых для поддержки этих методов [Greenbaum, Kyng 91].
4.2 Несущественный компромисс между затратами и выгодами
Многие системы предоставляют функции, которые не являются необходимыми для некоторых видов использования системы, но доступны для пользователей, которым нужны дополнительные преимущества в виде предоставления дополнительной информации. Такой информацией в текстовом редакторе можно считать стиль и размер шрифта. Пользователи могут принять стиль и размер по умолчанию для написания статьи и, таким образом, никогда не должны явно указывать свои предпочтения, но у них есть возможность указать другие шрифты. Конечно, многие люди казались очень счастливыми воспользоваться этой особенностью, размещая множество шрифтов на каждой странице, пока какое-то понятие эстетики не стало общепринятым.
Other features may be much less widely used. Spreadsheet programs include many features which are used only by a small percentage of the user community [Nardi, Miller 90]. The rest of the users either get by without using the features, or ask for help when they cannot avoid doing otherwise. In designing information systems where formalization is required for use of some of the features, systems designers must balance the effects of cognitive inflation, which can leave services worth little compared to the cost of formalization.
Проблемы масштаба, то есть слишком много выводов, чтобы заставить пользователей признать каждую часть предполагаемой структуры, приводят к более автоматическим рассуждениям системы вместо предложений. Такой подход предоставляет пользователю услуги на основе неформально представленной информации; структуры могут быть выведены с помощью текстовых, пространственных, временных или других паттернов (см., например, [Marshall, Shipman 93]). Выводы системы будут временами неверны, но до тех пор, пока выводы верны в определенное время и пользователю очевидно, что система сделала неправильный вывод, эти функции будут стоить пользователю мало за ту выгоду, которую они предоставляют.
4.3 Постепенная формализация и реструктуризация
Более длинные задачи обязательно включают переосмысление; Постепенная эволюция человеческого понимания во время выполнения задачи лежит в основе многих проблем, связанных с формализацией. Таким образом, предоставление механизмов для постепенной формализации и реструктуризации является основным способом, которым проектировщики систем могут поддерживать интеллектуальную деятельность с помощью вычислительных инструментов.
Постепенная формализация была продемонстрирована как средство решения выявленных нами ранее проблем, связанных с когнитивными перегрузками, неявным знанием, преждевременной структурой и ситуационными различиями [Шипман 93]. Мы обсуждаем, как каждый из них решается, и предлагаем конкретные стратегии поэтапной формализации, такие как ввод неформальной информации и последующее добавление структуры, использование неформальных средств массовой информации, таких как видеокассета, адаптируемые, зависящие от ситуации формализмы и, наконец, управляемое пользователем распознавание подразумеваемой структуры .
Когнитивные накладные расходы
Стратегии инкрементной формализации стремятся сократить накладные расходы на ввод информации и отложить формализацию этой информации на более поздний срок в задаче. Таким образом, исходное выражение меняется с формального описания языка на неформальное представление. Такое различие увеличило возможности пользователей изменять систему при использовании Пепером гипердокументов вместо правил экспертной системы [Peper et al. 89].
Пошаговая формализация разделяет накладные расходы, связанные с формализацией информации в системе, путем разделения процесса. За счет формализации меньшего количества информации за раз количество решений, касающихся фрагментов, связывания и маркировки, которые должны принимать пользователи, сокращается. Накладные расходы, связанные с необходимостью быть явным, все еще существуют для инкрементной формализации, но отдельные шаги требуют менее явной информации.
При определении фрагментов, связывания и маркировки информации пользователь пересекает первый из четырех сегментов, перекрывающих пропасть Нормана в исполнении, формировании намерения [Norman 86]. Поддержка второго и третьего сегментов моста Нормана, определяющая последовательность действий и выполнение действия, может быть обеспечена путем предоставления предлагаемых спецификаций и простого выполнения действий. Эти предложения могут быть созданы с использованием шаблонов в текстовой [Шипман 93] или пространственной [Маршалл, Шипман 93] информации.
Неявное знание
Проблема представления неявных знаний сложна для всех систем, запрашивающих информацию у своих пользователей. Неформально представленная информация может отражать некоторые неявные предположения пользователей посредством использования ими языка и других неформальных средств массовой информации, таких как видео. Хотя маловероятно, что компьютер сможет обрабатывать большую часть такой неявной информации (помимо предоставления дополнительных методов поиска и доступа), другие пользователи могут ее интерпретировать.
Предлагаемые формализации также позволяют донести до сознания ранее неявные знания. Распознаваемые закономерности в неформальной информации могут быть результатом неявного знания, запускающего признание того, что эта информация важна. О таком случае было сообщено при использовании Infoscope [Stevens 93], системы, которая предлагает информационные фильтры на основе моделей чтения пользователей Usenet News. В этом аккаунте конкретное предложение побудило пользователя лучше понять свои цели.
Преждевременная структура
Системы, использующие стратегии постепенной формализации, не требуют от людей навязывания преждевременной структуры при записи информации. Подобно столам офисных работников в исследовании Мэлоуна [Malone 83], информация в таких системах может храниться без структуры до тех пор, пока пользователь не захочет добавить структуру. Кроме того, поскольку структуру не нужно добавлять сразу, пользователь может добавить только ту структуру, которую он считает удобной, отложив другое возможное структурирование на потом.
Сопротивление преждевременной структуре все еще может быть проблемой, если пользователи никогда не чувствуют себя готовыми к формализации. Эта проблема связана с проблемой формирования намерения, которая обсуждалась выше как часть проблемы когнитивных накладных расходов.
Расположенная структура
Проблема использования формально представленной информации для различных ситуаций лишь частично решается путем поэтапной формализации. Постепенная формализация требует, чтобы формальные представления могли развиваться. Добавляя формализмы для конкретных ситуаций, пользователь может изменять существующие или добавлять новые структуры для конкретных ситуаций по мере необходимости.
Структура, наложенная на информацию для одной задачи, может не пригодиться для новой задачи без серьезных изменений в разбиении на части, связывании и маркировке информации. В случаях, когда нет способа разрешить различные структуры, необходимые для различных ситуаций, доступ к неформально представленной информации или методы общения с первоначальным автором [Ackerman 94] все же могут быть полезны для получения новых требуемых структур.
5. ВЫВОДЫ
Мы попытались описать масштабы трудностей, вызываемых системами, требующими от пользователей формализации информации. Эти проблемы широко распространены в системах, предназначенных для поддержки интеллектуальной работы, таких как гипермедиа, аргументация, системы, основанные на знаниях, и групповое ПО.
Трудности, с которыми сталкиваются пользователи при формализации информации, - это не только проблема интерфейса. Пользователи не решаются использовать формализацию из-за страха преждевременно придерживаться определенного взгляда на свои задачи; им также может быть трудно формализовать знания, которые обычно являются неявными. Дополнительные затраты на формализацию информации по сравнению с использованием неформальной информации делают формализованную информацию гораздо менее привлекательной для пользователей. В условиях совместной работы люди должны согласовать формализацию и эвристику для кодирования в нее информации.
Существуют решения, которые разработчики систем могут принять, чтобы уменьшить потребность систем в формальной информации, а также методы, упрощающие предоставление этой информации пользователям. Системы должны использовать доменно-ориентированные представления, используемые для однозначной коммуникации между людьми, когда это возможно. Системы должны предоставлять услуги на основе предполагаемой структуры неформально представленной информации. Наконец, системы должны поддерживать процесс постепенной формализации и эволюции структуры по мере переосмысления задач.
Как системные дизайнеры, есть соблазн добавить больше умных функций, которые полагаются на формализованную информацию. Мы должны сдерживать это побуждение и учитывать трудности, с которыми столкнется пользователь при предоставлении этой информации, прежде чем рассчитывать на ее успех в наших системах.
БЛАГОДАРНОСТИ
Мы благодарим членов группы HCC в Университете Колорадо и подразделения Collaborative Systems Area в Xerox PARC за обсуждения, которые помогли сформировать эти идеи. Мы также благодарим Джонатана Грудина и Тома Морана за чтение и комментарии к версиям этой статьи.
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[MacLean et al. 91] MacLean, A., Young, R., Bellotti, V., Moran, T. Questions, Options, and Criteria: Elements of a Design Rationale for User Interfaces. Human Computer Interaction 6, 3-4 (1991), pp. 201-250.
[Malone 83] Malone, T.W. How do People Organize their Desks? Implications for the Design of Office Information Systems. ACM Transactions on Office Information Systems 1, 1 (January 1983), pp. 99-112.
[Malone et al. 86] Malone, T.W., Grant, K.R., Lai, K.-Y., Rao, R., and Rosenblitt, D. Semi-Structured Messages are Surprisingly Useful for Computer-Supported Coordination. In Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW'86) (Austin, Texas, Dec.). 1986, pp. 102-114.
[Marshall et al. 91] Marshall, C., Halasz, F., Rogers, R., and Janssen, W. Aquanet: a hypertext tool to hold your knowledge in place. In Proceedings of Hypertext `91 (San Antonio, Texas, Dec. 15-18). ACM, New York, 1991, pp. 261-275.
[Marshall, Rogers 92] Marshall, C.C., and Rogers, R.A. Two Years before the Mist: Experiences with Aquanet. In Proceedings of European Conference on Hypertext (ECHT `92) (Milano, Italy, Dec. 1992). pp. 53-62.
[Marshall, Shipman 93] Marshall, C.C., and Shipman, F.M. Searching for the Missing Link: Implicit Structure in Spatial Hypertext. To appear in Proceedings of Hypertext `93 (Seattle, Wash., Nov. 14-18). ACM, New York, 1993.
[McCall et al. 83] McCall, R., Schaab, B., and Schuler, W. An Information Station for the Problem Solver: System Concepts. In Applications of Mini- and Microcomputers in Information, Documentation and Libraries, C. Keren, L. Perlmutter, Eds. New York: Elsevier, 1983.
[Minsky 75] Minsky, M. A Framework for Representing Knowledge. In The Psychology of Computer Vision, P. Winston, Ed. McGraw-Hill Book Company, New York, 1975, pp. 211-277.
[Mittal, Dym 85] Mittal, S., and Dym, C.L. Knowledge Acquisition from Multiple Experts. The AI Magazine (Summer, 1985), pp. 32-36.
[Monty 90] Monty, M.L. Issues for Supporting Notetaking and Note Using in the Computer Environment. Dissertation, Department of Psychology, University of California, San Diego, 1990.
[Myers 85] Myers, W. MCC: Planning the Revolution in Software. IEEE Software (November 1985), pp. 68-73.
[Nardi, Miller 90] Nardi, B.A., and Miller, J.R. An Ethnographic Study of Distributed Problem Solving in Spreadsheet Development. In Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW'90) (Los Angeles, Calif., Oct. 7-10). ACM, New York, 1990, pp. 197-208.
[Norman 86] Norman, D. Cognitive Engineering. In User Centered System Design, D. Norman, S. Draper, Eds. Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1986, pp. 31-61.
[Peper et al. 89] Peper, G., MacIntyre, C., and Keenan, J. Hypertext: A New Approach for Implementing an Expert System. In Proceedings of 1989 ITL Expert Systems Conference, 1989.
[Polanyi 66] Polanyi, M. The Tacit Dimension, Doubleday, Garden City, NY, 1966.
[Shipman et al. 89] Shipman, F.M., Chaney, R.J., and Gorry, G.A. Distributed Hypertext for Collaborative Research: The Virtual Notebook System. In Proceedings of Hypertext `89 (Pittsburgh, Penn., Nov. 5-8). ACM, New York, 1989, pp. 129-135.
[Shipman 93] Shipman, F.M. Supporting Knowledge-Base Evolution with Incremental Formalization. Ph.D. Dissertation., Department of Computer Science, University of Colorado, Boulder, Colorado, 1993.
[Shum 91] Shum, S. Cognitive Dimensions of Design Rationale. In People and Computers VI, D. Diaper and N.V. Hammond, Eds. Cambridge University Press, Cambridge, UK, 1991.
[Stevens 93] Stevens, C. Helping Users Locate and Organize Information. Ph.D. Dissertation., Department of Computer Science, University of Colorado, Boulder, Colorado, 1993.
[Suchman 87] Suchman, L.A. Plans and Situated Actions: The problem of human-machine communication. Cambridge University Press, Cambridge, UK, 1987.
[Toulmin 58] Toulmin, S. (Ed.) The Uses of Argument. Cambridge University Press, UK, 1958.
[Waterman 86] Waterman, D.A. A Guide to Expert Systems. Addison-Wesley, 1986, pp. 3-11.
[Winograd, Flores 86] Winograd, T., and Flores, F. Understanding Computers and Cognition: A New Foundation for Design. Ablex Publishing Corporation, Norwood, NJ, 1986.
[Yakemovic, Conklin 90] Yakemovic, K.C., and Conklin, E.J. Report of a Development Project Use of an Issue-Based Information System. In Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW'90) (Los Angeles, Calif., Oct. 7-10), ACM, New York, 1990, pp. 105-118.
TODO Сделать вопросы для anki
Самая простая и распространенная форма вопросов - это задавать вопросы типа «да / нет»: «Унаследован ли интеллект?». Но значимые темы человеческого масштаба почти никогда не бывают такими черно-белыми, и часто самые важные детали находятся в крайних случаях. Когда вы пытаетесь [[Быть любопытным]], почти всегда интереснее и поучительнее спросить: "Насколько X истинен?" или "когда X верно?" чем спросить «правда ли X?».
С другой стороны, лучше спросить: "Насколько вероятно X?" или «что должно быть правдой, чтобы X был правдой?» чем спросить «правда ли X?». Пол Грэм из книги [[Как думать самостоятельно|http://paulgraham.com/think.html]]
Придирчивость к истине означает больше, чем просто неверие в ложное. Это означает осторожность в отношении степени веры. Для большинства людей степень непостижимой веры стремительно приближается к крайностям: маловероятное становится невозможным, а вероятное становится несомненным. Сторонникам независимого взгляда это кажется непростительно небрежным. Они готовы иметь в своей голове что угодно, от весьма спекулятивных гипотез до (очевидных) тавтологий, но по предметам, которые их волнуют, все должно быть помечено с тщательно продуманной степенью веры.
[[Опыт требует построения сложных схем перекодирования чанков]], которые могут быть достигнуты с помощью эффективной практики (например, [[Ментальные представления, после Ericsson and Pool]] Эрикссон и Пул).
Процесс кажется автоматическим, поскольку эксперты обычно не думают: «Мне нужно разработать более качественные чанки». Скорее, обучение на пределе своих возможностей означает прогресс в кодировании более крупных чанков - по крайней мере, в некоторой степени.
Эрикссон и Пул (2016) подробно обсуждают это утверждение, но мало доказательств или объяснений этому механизму.
::...Способность распознавать и запоминать значащие закономерности возникает в результате того, как шахматисты развивают свои способности… проводя бесчисленные часы за изучением партий, в которые играют мастера. Вы глубоко анализируете позицию, предсказывая следующий ход, и, если вы ошибаетесь, вы возвращаетесь назад и выясняете, что вы упустили. Исследования показали, что количество времени, затрачиваемого на такого рода анализ, а не количество времени, потраченного на игру в шахматы с другими, является самым важным показателем способностей шахматиста. (стр.56)::
::...Большая часть осознанной практики включает в себя развитие все более эффективных мысленных представлений (стр. 59).::
::…Наиболее успешными квотербеками обычно являются те, кто больше всего времени проводит в кинозале, просматривая и анализируя… »(стр. 64)::
---
!!!References
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
Целенаправленная практика, согласно определению Эрикссон и Пул (2016, стр. 14-22), обусловлена {конкретными}, {приблизительными} целями, с трудностями, которые ставятся {только за пределами вашей зоны комфорта ([[Развитие навыков требует непростого гомеостаза]]). Чтобы организовать этот тип практики, вам понадобится {хорошая обратная связь}, которая, в свою очередь, обычно требует {тренера}.
Этот тип практики обычно более характерен для того, что производит экспертов; сравните с [[Наивные подходы к практике: быстрое плато]].
Поскольку вы всегда стараетесь заниматься этим типом практики, успех требует сильной сосредоточенности. Вам также придется столкнуться с проблемами, описанными в разделе [[Плато производительности часто требует изменения подхода к преодолению]].
Один из возможных механизмов действия: [[Хорошая практика кодирует более эффективные схемы перекодирования чанков]].
---
!!!References
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
[[Некоторые «образовательные» мероприятия преследуют по своей сути значимые цели]], но в большинстве образовательных сред основная задача заключается в том, чтобы заставить других / себя что-то узнать, что, как правило, не является внутренне значимой целью (в отличие от [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).
Фиксация на результатах обучения - это фиксация на том, что обычно является следствием более глубокой причины: внутренне значимой цели, связанной с этим материалом. Пытаясь произвести эффект без причины, учитель делает учеников иждивенцами. Он источник не только опыта, но и цели. В таких отношениях роль учителя определяется его превосходством. Это часто проявляется в виде (непреднамеренной) снисходительности.
[[Внутренне-модулированное обучение самоактуализируется; внешне-модулированное обучение самоотрекается]]. Студенты ощущают отречение и часто реагируют либо отстранением, либо уменьшением своего чувства интеллектуальной ответственности. Оба эти поведения усиливают асимметрию между учителем и учеником, что, в свою очередь, усиливает (намеренное или непреднамеренное) чувство превосходства, которое выражает учитель.
[[Глубокое понимание требует (и является результатом) интенсивной личной связи]]. Снисходительность и внешняя зависимость вряд ли приведут к такой связи. Часто сам учитель / автор не имеет такой связи с материалом, что усугубляет снисходительность (см. [[Авторская среда значительно окрашена мотивами авторов]].
Per Bret:
::Я не думаю, что многие дизайнеры по своей природе увлечены счетом до десяти или сложением. Таким образом, материал по этим темам создается не для прямого посвящения или обмена любовью, а с точки зрения: «Я знаю эту концепцию, а вы - нет, и я думаю, вам нужно знать то, что знаю я». Это создает дисбаланс, асимметрию между «учителем» и «учеником». И эта асимметрия часто выражается в снисхождении::
::Конечно, в каком-то смысле я очень увлечен такими целями, как «предоставление людям возможности» ... Но я также очень подозрительно отношусь к таким целям. Я думаю, что> 99,9% времени они в конечном итоге покровительствуют. Единственное, что я знаю, что постоянно уходит от этого паттерна неудач, - это сделать основной целью что-то другое, что-то, что по сути важно. Например, если вы запустите программу Apollo, вы наверняка поможете людям. Но это будет второстепенно по сравнению с полетом на Луну::
Related:
* [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]
* [[Обучающие игры - это обреченный подход к созданию благоприятной среды]]
* [[Образовательная среда обычно не включает в себя оригинальную мысль]]
* [[Благоприятная среда сосредоточена на том, что включено]]
Больно читать бесконечно длинные статьи в сети, которые постоянно прокручиваются. Я всегда настраиваю свои устройства для чтения электронных книг на переворачивание, а не на непрерывную прокрутку. Одна из ключевых причин, по-видимому, заключается в том, что непрерывное взаимодействие с прокруткой нарушает постоянство объекта.
Когда я читаю физическую книгу, и если я потеряюсь, я могу перелистать несколько страниц назад, не отрывая пальца от места, на котором я сейчас читаю. Решение [[LiquidText]], вероятно, будет достаточным при перелистывании вперед, чтобы понять структуру книги, но оно не так сильно помогает при перелистывании назад, потому что я также использую дискретный физический макет страницы в этой операции: например, я мог смутно вспомнить что предложение, которое я ищу, находится на правой странице, внизу и т. д.
Если веб-публикация должна быть повсеместной, нам понадобится какая-то альтернатива непрерывной прокрутке огромного, недифференцированного блока текста.
Связано: [[Приложения не поддерживают надежные позиции прокрутки]]
Курс, разработанный [[Joe Edelman]].
[[Человеческие системы|https://human-systems.org/school]].
Это полу-массовый подход к созданию [[Благоприятная (стимулирующая) среда]], при котором опытные фасилитаторы (600 долларов на каждого учащегося) добавляют дополнительную структуру опыту.
Основная идея состоит в том, чтобы как можно больше основывать материалы курса на реальных действиях в жизни участников - их реальных дизайнерских проектах ([[Благоприятная среда сосредоточена на том, что включено]], [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]). Но вы не можете разработать эффективный универсальный курс, который подойдет для всех дизайнерских проектов.
Таким образом, в курс входят «гиды», которые проводят собеседования со студентами, чтобы понять их проекты и их ценности. Руководства соответственно упорядочивают главы учебника. И они выбирают (или пишут) «миссии», которые могут претворить идеи этих глав в жизнь в контексте реальных дизайнерских проектов студентов. Для меня это звучит как [[Реализованный опыт]], но тот, который настроен на внутренне значимый контекст ([[Как мы можем расположить инструменты для размышления в внутренне значимых контекстах?]]). Их работа - «вплетать учебную программу в вашу жизнь». И «вплести сообщество в свою жизнь», но я не уверен, что это значит. Джо говорит: «Гиды делают курс похожим на вечеринку по случаю дня рождения-сюрприза: кто-то подумал о том, что идеально подходит для вас». Совершенно метафора.
Гиды создали базу данных этих миссий, каждая из которых связана с некоторыми темами из учебника. И они замечают закономерности в жизни студентов, которые облегчают процесс назначения. В каком-то смысле эта база данных является средством массовой информации. Как только он станет достаточно большим и узоры будут достаточно хорошо распознаны, адаптация их к новому ученику может оказаться не слишком сложной задачей. [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].
В курс также входят упражнения и игры (искусственно [[Реализованный опыт]]), которые явно не основаны на реальных дизайнерских действиях. Но они всегда представлены и сформулированы с точки зрения следующей миссии. Таким образом, смысл исходит как от удовольствия от игры, так и от ожидаемой связи с будущей реальной деятельностью. Джо использовал аналогию с тренировкой для паркура: вы тренируетесь в прыжках с циновками в тренажерном зале, пока не почувствуете, что готовы делать настоящие вещи в мире. Но ваша практика мотивирована вашими планами заняться паркуром с друзьями в следующие выходные.
''''
Q. В каком контексте студенты, изучающие человеческие системы, выполняют «миссии»?
A. Реальные дизайнерские проекты в их профессиональной / личной жизни
Q. Каким образом Human Systems адаптирует обучение на основе проектов к реальным дизайнерским проектам студентов?
A. У каждого студента есть «гид», который выбирает / пишет миссии, чтобы охватить материал курса, который соответствует проектам дизайнера.
В. Как практические занятия связаны с аутентичным использованием в человеческих системах?
A. Практические занятия всегда мотивированы «миссией», которую они выполняют.
Q. Сколько Human Systems тратит на «руководящего» труда на одного студента в своем курсе?
A. 600 долларов
Q. В каком смысле человеческие системы - это реализованный опыт ?
A. Его «миссии»: студенты получают определенные знания в процессе выполнения собственных проектных работ.
Q. Какую метафору использует Джо, чтобы описать, какими руководителями по человеческим системам вы себя чувствуете?
A. Как будто вы пришли на вечеринку по случаю дня рождения-сюрприз: кто-то подумал о том, что идеально для вас.
"""
В отзывах о том, [[Как писать хорошие подсказки|https://andymatuschak.org/prompts/]], ряд читателей сообщают, что им было трудно отвечать на некоторые подсказки, потому что они составлены в соответствии с моей формулировкой. Не то чтобы моя формулировка была плохой или неправильной - просто эти читатели считают, что, если бы они сформулировали вопрос сами, они бы выбрали другую формулировку, которая лучше для них лично.
Авторы не получали этого отзыва в отчетах о Quantum Country. Я думаю, это проблема, связанная с тем, что это нетехнический текст. Формулировка жалобы возникает из-за того, что не существует фиксированного, заранее заданного способа ссылки на какое-либо понятие, что делает невозможным следовать [[Эвристика ответа эксперта, after Issa Rice]]. Автору пришлось самим придумывать термины, и читатель чувствует, что они могли использовать другие термины. Это происходит и в технических текстах, но реже: референты чаще уточняются.
Эта жалоба была в основном сосредоточена на запросах на закрытие удаления, которые вне зависимости от проблем с формулировкой: [[Cloze deletions часто вызывают разочарование в нетехнических мнемонических текстах]].
Здесь может помочь кнопка редактирования / ремикса.
---
"""
mduncs:
кое-что, что привлекло мое внимание форматом мнемонического эссе и некоторым обзором с помощью Orbit, - это сложность запоминания подсказок, которые написаны не моим голосом. небольшие различия в формулировках и словарном запасе помогают вещам выделяться, но мешают им закрепиться в моей голове.
Джеффри Литт:
Я заметил одну вещь: хотя подсказки в целом были хорошими, некоторые ответы были сформулированы не так, как я бы написал. Что оставляет меня неуверенным, насколько хорошо я запомню.
Сорен Бьорнстад:
В этой связи подсказки по терминологии кажутся мне особенно сложными. У меня сложилось впечатление, что некоторые термины включены только в закрывающие строки и не вызываются сначала вопросами, которые могут способствовать, учитывая вышесказанное ... но на самом деле у меня нет легко доступного списка всех подсказок, поэтому я не могу быть объективным об этом. Это также может быть своего рода когнитивным вмешательством в том смысле, что труднее принять термины, не относящиеся к новым концепциям, а у меня уже есть свои собственные термины? Так что я не уверен, подойдет ли что-либо из этого опыта для основной целевой аудитории этой статьи.
Я: Интересно, что довольно много людей выразили ту же проблему с закрытием, особенно с теми, которые в конечном итоге кажутся в основном лингвистическими. Думаю, это очень важно, чтобы я лучше это понимал. Этот тип подсказок работает достаточно хорошо (но не очень хорошо), когда я пишу их для себя. Я думаю, что отчасти проблема в том, что, когда я пишу это для себя, я признаю: «Послушайте, то, что я в основном делаю здесь, - это запоминание части терминологии, которую автор решил использовать, потому что я думаю, что сама формулировка полезный." Но когда автор просит вас сделать это, это похоже на произвольное наложение - вас просят запомнить конкретную формулировку, что кажется неправильным уровнем абстракции.
Мне это кажется точной оценкой. И обновленная информация о результатах обзора примерно за месяц: я узнал о многих из них, но те, с которыми у меня по-прежнему возникают проблемы, все попадают в эту категорию.
Стивен Малина:
Невозможность редактировать карты. Я часто обнаруживаю, что мое первое написание (особенно) ответов на подсказки не соответствует тому способу, которым я на самом деле вспоминаю ответ, хотя фактический способ, которым я вспоминаю ответ, также действителен. В результате с помощью моих собственных карточек Anki я часто редактирую ответы, чтобы они были сформулированы так, как я склонен запоминать ответы. Я обнаружил, что в противном случае каждый раз, когда я вижу карточку, мои скрупулезные наклонности срабатывают, и я задаюсь вопросом, означает ли моя другая формулировка то же самое, что и ответ, указанный на карточке. С другой стороны, с Orbit не только неотредактируемые ответы на подсказки, но они сформулированы в вашем (или Хосе) словарном запасе, а не в моем собственном. Хотя это может показаться мелочью, это добавляет небольшую, но реальную нагрузку на просмотр подсказок.
Невозможность добавлять и удалять карты. Я думаю, что вы отлично поработали с подсказками, но я все же считаю, что небольшая их часть просто не имеет для меня смысла. Например, есть карточка «Фокус:», на которую я постоянно неправильно отвечаю. Обычно я бы справился с этим, удалив карту или добавив дополнительные карты, чтобы заполнить любые пробелы, которые, по моему мнению, мешают мне получить эти карты (как вы также рекомендуете), но с Orbit я не могу, поэтому я застрял с эти карты как пиявки. Я обнаружил, что постоянное наблюдение за этими пиявками и неправильное их понимание непропорционально влияет на эмоциональный опыт просмотра карточек.
!!!Противоположное мнение
NothingIsntTrivial :
Мне кажется, что тексты @ Meaningness (в целом) во многом перекликаются с моими собственными мыслями и опытом. Наши «стеки абстракции» могут быть очень похожими. Я думаю, это означает, что подсказкам легче быть «хорошими» (нужное количество послушных / требующих усилий). Отвечая на подсказки, вы больше похожи на то, чтобы опираться на уже имеющуюся у меня мысль, а не на что-то совершенно новое.
Как и в случае с [[Мнемоническая среда]], уроки Execute Program чередуются с интерактивными подсказками. Но главная идея, которая дает Execute Program своей тёзке, состоит в том, что каждое взаимодействие включает выполнение программы внутри встроенного интерпретатора. Фактически, у [[Execute Program не имеет неисполняемых запросов]].
Например, урок может включать в себя несколько абзацев, знакомящих с понятием, что в SQL вы можете выбрать только определенный столбец, используя SELECT column_name. Затем он может предложить такую подсказку:
"""
`exec(CREATE TABLE cats (name STRING, age INTEGER));`
`exec(INSERT INTO cats (name, age) VALUES (“Boromir”, 3), (“Aragorn”, 15));`
`exec(SELECT name FROM cats)`
`>`
"""
Курсор читателя располагается на последней строке; они предназначены для ввода того, что будет оценивать выражение в первой строке. Затем Execute Program оценивает входное выражение читателя (то есть как Javascript) и сравнивает полученное значение с тестовым значением.
Это похоже на карточку в стиле Quizlet, на которой нужно ввести правильный ответ, но это не так. Это настоящий интерпретатор, который действительно оценит вашу программу. Так что вы можете написать `[{name: “Boromir”}, {name: “Aragorn”}]`или `[“Boromir”, “Aragorn”].map(n => ({name: n})`- оба верны. Мне нравится, что эта модель дизайна приближает уроки к подлинному контексту: [[Благоприятная среда сосредоточена на том, что включено]].
Более сложные запросы, называемые «проблемами», предоставляют читателям список источников и «выражение цели» - желаемое значение для последней строки. Например:
"""
`function adds2(input: number) {`
`}`
`adds2(4)`
`// GOAL: 6`
"""
Читатель должен модифицировать исходный листинг так, чтобы получилось целевое выражение. Когда читатель готов, они выполняют свою программу; он оценивается, и его результат сравнивается со значением цели.
Связанное с этим, более амбициозное самомнение: [[Что может означать размещение таких игр, как Shenzhen I / O, в профессиональных средах, таких как IDE?]]
Также по теме: [[Исполняемые книги]]
"""
Q. Запросы «Выполнить программу» просят читателей ввести ответ. Чем это взаимодействие отличается от Quizlet?
A. Ответ оценивается в реальном интерпретаторе, а не просто дословно сравнивается.
Q. Почему важно, чтобы ответы читателей на запросы «Выполнить программу» оценивались, а не просто сравнивались дословно?
A. Это дает читателям некоторую подлинную гибкость в решении вопросов.
"""
Все эти данные относятся к читателям, ответившим на 80% + вопросов QCVC в эссе перед первой сессией рецензирования.
После 6 повторений (с использованием более раннего, менее агрессивного расписания SRS) большинство пользователей 2019H1 в среднем удерживают около 54 дней на вопрос.
[img[Снимок экрана 2021-04-08 в 7.26.42 PM.png]]
Средний читатель 2019H2 продемонстрировал 2-недельное удержание на 95% + запросов QCVC к сеансу 9. Источник Эти пользователи в среднем около 24 дней удержания на вопрос после 3 повторений каждого запроса. У нас пока нет данных о более поздних количествах повторений.
Но разве это просто эффект выживания? В любом случае развили бы эти читатели такое удержание? Или это выбор эффект, даже эти читатели уже имеют детальное сохранение этого материала? [[Каково причинное влияние сеансов обзора мнемонической среды на удержание читателей?]]
* [[Цифровое чтение с непрерывной прокруткой мешает постоянству объекта]]
* [[Низкая производительность мешает нелинейному чтению при цифровом чтении]]
* [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]]
* [[Параллельное чтение в цифровом чтении в большинстве случаев невозможно]]
* [[Дисплеи с подсветкой ограничивают компьютеры интерьером]]
Это важная проблема, потому что [[Массовое распространение письменных средств массовой информации с новыми когнитивными функциями требует массового распространения чтения на компьютерах]].
[[Мнемоническая среда]] кодирует - даже в своем названии - свою направленность на то, чтобы помочь читателям выстроить детальную внимание на помощь читателей строить подробную память о том, что они читают. Это явно очень полезно для познания платформы ([[Мнемоническая среда особенно хорошо подходит для познания платформы]]), но детальная память обычно не является основной целью для других жанров письма.
Размышляя о том, [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]], один из подходов состоит в том, чтобы использовать подсказки меньше как средство для создания детальной памяти и больше как средство для побуждения к более глубокому взаимодействию ([[Дополнительные сведения в текстовых подсказках мнемонической среды, которые могут поддерживать активное чтение]]), не только во время чтения, но и растягиваясь во времени ([[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]).
Связанный потенциальный механизм: [[Встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя]].
Размышляя о том, [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]], один из подходов состоит в том, чтобы использовать подсказки меньше как средство для создания подробной памяти и больше как средство для побуждения к более глубокому взаимодействию ([[Дополнительные сведения в текстовых подсказках мнемонической среды, которые могут поддерживать активное чтение]]), не только во время чтения, но и растягивая во времени [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]).
Связанный потенциальный механизм: [[Встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя]].
Исса Райс предполагает, что одна полезная эвристика для написания подсказок для [[§Система интервального повторения]] (и, в частности, для [[Мнемоническая среда]]) заключается в том, что кто-то, кто уже является экспертом в этой теме, должен иметь возможность ответить на подсказку, не ссылаясь на конкретное мнемоническое эссе или источник.
Когда подсказка не проходит эту эвристику, она обычно кодирует интерпретацию, обрамление, пример, формулировку и т.д., Зависящую от автора. Это часто бывает полезно, особенно как своего рода [[Детальное кодирование]] или способ культивирования эмоционального интереса. Но это также может вызвать узкое понимание. В случае общих подсказок или мнемонической среды такие подсказки могут приводить к разочаровывающим ложным отрицаниям, поскольку они просят читателей узнать, как конкретный источник представляет материал: [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]] мнемонической среды иногда чувствуют, что выбор авторов затрудняет выбор формулировок .
Здесь есть интересное отношение к [[Вечнозеленые заметки должны быть концептуальными]].
---
"""
Q. В соответствии с эвристикой ответа эксперта, как следует писать подсказки SRS?
A. Чтобы специалист в этой теме мог ответить на них, не ссылаясь на какой-то конкретный исходный материал.
Q. Если подсказка SRS не соответствует эвристике ответа эксперта, какие ограничения на усвоение знаний могут возникнуть?
A. Это может быть ограниченная кодировка знания.
Q. Почему общие подсказки SRS часто разочаровывают, если они не соответствуют эвристике ответов экспертов?
A. Они могут отдавать предпочтение конкретному источнику изложения какой-либо идеи, а не сосредотачиваться на том, что является универсальным.
"""
* Саймон и Чейз (1973, стр. 186) не нашли гроссмейстера, который был бы менее чем «примерно на {десятилетия}» интенсивной увлеченностью игрой. Мы можем очень грубо подсчитать, что мастер потратил от {10 000 до 50 000} часов, разглядывая шахматные позиции… »
* Эрикссон и др. (1993, стр. 366) суммируют ряд других исследований, в которых указаны необходимые 10-летние периоды подготовки в следующих областях: музыкальная композиция, музыкальное исполнение, математика, теннис, плавание, бег на длинные дистанции.
* Эрикссон и др. (1993, стр. 370): «какие-либо значительные достижения в литературе, музыкальной композиции, изобразительном искусстве и других областях до 16 лет чрезвычайно редки (Barlow 1952). (Юдит Полгар и Бобби Фишер достигли уровня международных гроссмейстеров по шахматам в 15 лет)»
!!!References
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363.
Simon, H., & Chase, W. (1988). Skill in Chess. In D. Levy (Ed.), Computer Chess Compendium (pp. 175–188). Springer New York. https://doi.org/10.1007/978-1-4757-1968-0_18
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363.
---
* Экспертная эффективность не зависит от природных способностей; несколько однобокий обзор литературы. [[В какой степени исключительные способности передаются по наследству?]]
* Практика и опыт не приводят автоматически к профессиональному исполнению:
** [[Люди обычно развивают навыки до плато, а затем останавливаются]].
** [[Во многих сферах деятельности планка виртуозности стремительно поднялась]].
** [[Экспертная работа требует большого опыта]]
* Необработанные часы не равны опыту: нужна [[Целенаправленная практика, после Ericsson and Pool]]
** [[Типичная рабочая и производственная среда не является преднамеренной практикой]]
** [[Опытные тренеры способствуют эффективной осознанной практике]]
!!!Как достигается экспертиза
* Путь к профессиональному мастерству от юношеского интереса: [[Трехэтапная модель развития талантов Блума]]
* Критерии экспертизы резко меняются по мере повышения уровня производительности.
** На первом этапе школьников сравнивали с местными любителями. На втором этапе их сравнивают с другими начинающими практикующими. На третьем этапе их сравнивают с другими профессиональными кандидатами. В четвертом их сравнивают с другими международными исполнителями.
** Эти критерии не просто меняются в масштабе: они относятся к разным категориям.
*** Детей-музыкантов в основном оценивают по техническим способностям, но для профессионального роста требуется эмоциональное выражение и уникальные интерпретации.
*** Детей-математиков в основном оценивают по работоспособности и памяти, но профессиональная известность достигается благодаря глубокому пониманию и творчеству.
*** У многих студентов возникают проблемы с переходом
* Этот тип практики требует значительных ресурсов: Блум сообщает, что родители начинающих конкурентов экспертного уровня тратят большую часть своего свободного времени, отвлекая их на сопутствующие виды деятельности; они могут переехать, чтобы быть ближе к лучшим учебным заведениям; они тратят огромные деньги на высококлассных тренеров.
** Это требует твердой уверенности в том, что ребенок «особенный» или что он может быть лучшим.
* Осознанная практика требует больших усилий
** Авторы рассматривают различные исследования, в которых сообщается, что «по существу нет пользы от продолжительности более 4 часов в день и снижается польза от практики, превышающей 2 часа… эффективная продолжительность осознанной практики может быть ближе к 1 часу в день». (стр.370)
** Практика требует большой концентрации в каждом действии, чтобы учащиеся выстраивали автоматизм точно, а не кодировали мелкие ошибки. Сосредоточенность также важна для того, чтобы замечать области, которые можно улучшить, и изменять свою практику для их достижения.
** Улучшение физических способностей (силы, выносливости) самоограничено, потому что требует работы на пределе возможностей: [[Развитие навыков требует непростого гомеостаза]].
** Если ежедневная практика полностью расходует умственные и физические резервы студентов, важно, чтобы студенты могли полностью восстанавливаться на регулярной основе. В противном случае последующие практические занятия будут либо сокращены из-за ограниченных усилий ученика, либо они пройдут мимо истощения, что может привести к травмам и выгоранию.
** Мы можем думать об усилиях как об ограничении, которое устанавливает точку равновесия: студенты должны накопить тысячи часов практики, но они могут устойчиво практиковать только несколько часов в день; это означает, что практика должна растягиваться на годы последовательных занятий.
*** Кажется, что со временем студенты могут повысить свою терпимость к практике; долгосрочные программы тренировок начинаются с 10-20-минутных занятий с маленькими детьми и постепенно увеличиваются в течение длительного периода.
** Соответственно, многие известные романисты «пишут только 4 часа утром, оставляя остаток дня для отдыха и восстановления сил» (стр. 371).
---
!!!References
Bloom, B. S. (1985). Generalizations about talent development. In B. S. Bloom (Ed.), Developing talent in young people. Ballantine Books.
Эффект генерации предполагает, что люди лучше запоминают материал, который они сами создают, по сравнению с материалом, который они читают или который им предлагают.
Например, Slamecka и Graf (которые придумали название для этого эффекта в 1978 году) показали, что производительность памяти была лучше, когда людям приходилось генерировать целевое слово в паре ассоциаций (рифма: wave / c??e), чем когда они читали ассоциативная пара (рифма: wave / cave).
Этот эффект иногда приравнивают к [[Эффект тестирования]]: когда учащихся просят воспроизводить ответы по памяти (как в тестах на свободное вспоминание), некоторая часть воздействия на отзыв может быть связана с обработкой, участвующей в генерации ответов. Но эксперименты Karpicke и Zaromb (2010) показывают, что эти два эффекта различны и могут быть до некоторой степени изолированы. Люди, которые учились, пытаясь создать цели, в конечном итоге хуже запоминали, чем люди, которые учились, пытаясь вспомнить.
Карпике и Заромб (2010) указывают на некоторые ссылки (которые я еще не читал), которые предполагают, что эффект может быть минимальным в более сложных задачах свободного отзыва (в отличие от четвертого и пятого экспериментов Сламеки, которые действительно показали только небольшие эффекты):
::Таким образом, часто нет разницы в свободном воспроизведении прочитанных и сгенерированных списков, и на самом деле иногда есть преимущество чтения перед созданием (например, Nairne et al., 1991; Schmidt & Cherry, 1989). Улучшенная обработка элементов, которая происходит в чистом списке сгенерированных элементов, недостаточна для противодействия нарушению обработки заказа и дает преимущество в свободном отзыве по сравнению с чистым списком считанных элементов.
---
!!!References
[[Обозначение явления. Журнал экспериментальной психологии|https://notes.andymatuschak.org/Slamecka%2C_N._J.%2C_%26_Graf%2C_P._(1978)._The_generation_effect]]
!!!Backlinks
* [[Эффект тестирования]]
** Эффект тестирования обычно более выражен для производственных тестов (короткий ответ, эссе), чем для различения (множественный выбор / истина-ложь) (например, Kang et al, 2007). Это может быть связано с эффектом генерации .
* [[Ведение вечнозеленой заметки - это интервальное повторение]]
** С точки зрения памяти, это неэффективное повторение с интервалом: вы на самом деле не пользуетесь эффектом тестирования . Но он использует что-то вроде эффекта генерации , и это может быть полезной линзой, чтобы подумать о том, как управлять своим вниманием через корпус идей, которые вы накапливаете с течением времени. В частности, эта практика побудит вас постоянно обращать внимание на прошлые идеи, которые кажутся важными для вашей нынешней работы. А поскольку вы можете пересмотреть свои записи об этих прошлых идеях, внимание может потребовать значительных усилий.
* [[Написание вечнозеленых заметок помогает накапливать понимание]]
** Связано: Эффект генерации , Детальное кодирование
* Эффект генерации
* [[Системы интервального повторения с самооценкой более эффективны, чем аналогичные системы с машинной оценкой]].
** Некоторые системы с машинной оценкой избегают затрат на ввод, делая свои подсказки с множественным выбором. Но это превращает задачу генерации в задачу распознавания - гораздо менее эффективную для кодирования памяти; см. [[Эффект генерации]]
* Лучшее понимание эффекта тестирования и эффект поколения , читать кучу бумаг вокруг этого. Постепенно лучшее понимание сложного кодирования . Хорошая обзорная статья:
[[Kang, S. H. K., McDermott, K. B., & Roediger, H. L. (2007). Test format and corrective feedback modify the effect of testing on long-term retention. European Journal of Cognitive Psychology, 19(4–5), 528–558|https://doi.org/10.1080/09541440601056620]]
* О связи с эффектом генерации:
[[Karpicke, J. D., & Zaromb, F. M. (2010). Retrieval mode distinguishes the testing effect from the generation effect. Journal of Memory and Language, 62(3), 227–239|https://doi.org/10.1016/j.jml.2009.11.010]]
* Являются ли эффект тестирования и эффект генерации просто то же самое? Их часто сравнивают, и я действительно сравнивал их в своих заметках. В этой статье описывается серия экспериментов, в которых делается попытка продемонстрировать, что этими двумя явлениями управляет другой базовый механизм, и что практика поиска имеет большее влияние на память, чем генерация.
[[Slamecka, NJ, & Graf, P. (1978). Эффект генерации: Обозначение явления. Журнал экспериментальной психологии: обучение и память человека, 4 (6), 592–604|https://doi.org/10.1037/0278-7393.4.6.592]]
Первая статья, в которой сообщается о существовании эффекта генерации с помощью ряда экспериментов.
Вы запомните материал более надежно, если будете изучать его по разным поводам с небольшим промежутком между ними, а не тратить столько же времени на то, чтобы запихнуть его все за один вечер.
Другими словами, последовательные подкрепления сглаживают [[Кривая забывания]], так что вы можете ждать все дольше и дольше между каждым обзором. Своевременные интервалы сглаживают эту кривую в большей степени.
Алгоритмы системы памяти с разнесенным повторением использовали это преимущество для реализации эффективных систем обучения.
Алгоритмы [[§Система интервального повторения]] использовали это преимущество для реализации эффективных систем обучения.
!!!Оптимальный интервал
Интервалы между сессиями не следует увеличивать без ограничений, поскольку это снижает вероятность того, что вы запомните материал при просмотре, что, в свою очередь, снижает эффект подкрепления на вашу память. Оптимальный ISI зависит от удерживающего интервала (RI) - времени между заключительным сеансом исследования и тестом.
Мозер и Линдси (2016) выводят это степенное соотношение для отдельных учебных занятий из различных наборов эмпирических данных:
Оптимальный ISI = 0,097 * RI ^ 0,812. Честно говоря, мне это кажется примерно линейным. Их наборы данных не включают ничего, кроме 1-летнего RI, поэтому мы не должны доверять функции за пределами этого диапазона.
Кроме того, эта функция, похоже, не очень хорошо соответствует данным Cepeda et al 2008. Например они обнаружили, что OISI ~ = 5 для RI = 35, но аппроксимация степенного закона дает OISI = 1,8, что эмпирически показало гораздо худшие результаты в этом исследовании.
Собранные эмпирические данные
Корнель (2009) в эксперименте с лексикой типа GRE
Объединив три эксперимента, 90% участников узнали больше в условиях разнесения, чем в условиях масс, тогда как только 6% участников показали обратную картину.
Возможные теории, объясняющие эффект разнесения
«Вариативность кодирования»: интервалы изменяют контекст, что приводит к более богатым и разнообразным кодировкам, представляющим эти контексты.
Интервал требует меньшего сосредоточения усилий и внимания, чем массовое изучение.
[[Менее доступные воспоминания более подкрепляются извлечением]], что может улучшить обучение с помощью [[Двухкомпонентная модель памяти]].
«Прогностическая полезность»: если элемент обычно извлекается за короткий промежуток времени, ваш разум предполагает, что он больше не нужен по истечении этого промежутка времени; более длинные интервалы устанавливают более длительные периоды потребности.
Q. Какой термин используется в исследованиях эффекта интервалов для обозначения времени между сеансами?
A. Межсессионный интервал (ISI)
Q. Что означает ISI в бумаге с эффектом интервала?
A. Межсессионный интервал.
Q. Какой термин используется в исследованиях эффекта интервалов для обозначения времени между заключительным сеансом обучения и тестом?
A. Интервал удерживания (RI)
Q. Различайте «межсессионный интервал» и «интервал удерживания» в исследованиях эффекта разнесения.
A. Первый относится ко времени между учебными сессиями, а второй - ко времени между последней учебной сессией и тестом.
Q. Что такое «функция интервала» в литературе по эффекту интервала?
A. Точность отзыва как функция межсессионного интервала
Q. Какова характерная форма функции интервала?
A. Холм: относительно резкое начальное повышение точности, за которым следует медленное снижение.
Q. Что означает «оптимальный ISI» по отношению к эффекту интервала?
A. Пик функции интервала: ISI, обеспечивающий наивысшую точность отзыва.
Q. Оптимальный ISI сильно зависит от того, какой другой интервал?
A. Интервал удерживания (Cepeda et al, 2006; через Mozer et al, 2009)
Q. В чем заключается основная претензия теории кодирования вариабельности для эффекта интервала?
A. Интервал обеспечивает лучшее воспоминание, потому что он кодирует следы воспоминаний с более широким спектром психологических контекстов, предоставляя больше возможностей для совпадения с контекстами отзыва.
Q. Почему наличие следов в памяти, связанных с более широким спектром психологических контекстов, может приводить к более надежному воспоминанию?
A. Принцип специфичности кодирования
Q. В теории изменчивости кодирования, почему бы не увеличить ISI без обязательного получения максимальной изменчивости контекста?
A. По мере увеличения ISI извлечение становится все более убыточным, потому что каждый контекст исследования меньше перекрывается со следующим.
Q. Каково главное утверждение теорий предсказательной полезности для эффекта пространственного распределения?
A. Разум «узнает», сколько времени требуется памяти в соответствии с их паттернами доступа; более длительные интервалы обучения способствуют более длительному хранению.
!!!References
Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from https://www.gwern.net/Spaced-repetition
Kornell, N. (2009). Optimising learning using flashcards: Spacing is more effective than cramming. Applied Cognitive Psychology, 23(9), 1297–1317. https://doi.org/10.1002/acp.1537
Psychological Theory Matters in the Big Data Era. In M. N. Jones (Ed.), Big data in cognitive science (pp. 34–64).
Когда вы пытаетесь вспомнить какую-то деталь, это действие укрепляет вашу память об этой детали. Когда это используется в качестве учебной деятельности, это называется «поисковой практикой» (retrieval practice).
Эксперимент продемонстрировал этот эффект даже тогда, когда правильный ответ не был предоставлен, и даже когда испытуемому предоставляется «открытая книга» для поиска правильного ответа. Эффект был продемонстрирован во многих областях и на многих возрастных уровнях.
Это предполагает существенно иную роль тестов. В обычных классах учителя и ученики представляют себе, что обучение происходит во время лекций или во время чтения материала. Тесты предназначены для оценки этого обучения. Но на самом деле сами тесты - важная часть учебного процесса.
!!!По сравнению с другими видами учебной деятельности
Практика поиска приводит к более прочной долговременной памяти, чем простое изучение материала, например, перечитать, несмотря на то, что студенты будут менее успешными во время самой практики (Roediger, 2006). По теме: [[Желательные трудности, после Бьорк]].
Это также, по-видимому, приводит к более прочной памяти (Karpicke and Smith, 2012) и повышению эффективности обучения в целом (Karpicke and Blunt, 2011) по сравнению с одной только практикой, основанной на [[Детальное кодирование]].
!!!Формат
Эффект тестирования обычно более выражен для производственных тестов (короткий ответ, эссе), чем для различения (множественный выбор / истина-ложь) (например, Kang et al, 2007). Это может быть связано с [[Эффект генерации]].
---
References
Reviews
Basic Research and Implications for Educational Practice. Perspectives on Psychological Science, 1(3), 181–210. https
Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from https://www.gwern.net/Spaced-repetition
Commentary
Roediger, H. L., & Karpicke, J. D. (2018). Reflections on the Resurgence of Interest in the Testing Effect. Perspectives on Psychological Science, 13(2), 236–241. https://doi.org/10.1177/1745691617718873
Можно представить себе разработку курса или книги, которая предоставляет доступ к урокам только после того, как студенты отработают материал из предыдущего урока и включили его в свои долгосрочные воспоминания (например, [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]]) . Но кажется, что во многих случаях оптимальный первоначальный интервал обзора очень длинный - многие недели или, возможно, даже месяцы. Если вы планируете обзоры эффективно (то есть откладывая их на очень длительные периоды), вы заставите людей очень долго ждать, прежде чем читать следующий раздел, что читателям может показаться довольно утомительным.
Связано: [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
"""
Q. Почему оптимальное расписание обзорных сессий может вызвать проблемы для последовательностей закрытых курсов?
A. Во многих случаях оптимальная начальная ISI может составлять несколько недель или более; читатели, вероятно, не хотят, чтобы их закрывали так долго.
"""
Лоскутные прототипы великолепны: они позволяют скрупулезно повторять и быстро оценивать. Но многие важные идеи могут появиться только в контексте серьезной творческой проблемы, которая не связана с самой системой. Это ключевое утверждение: [[Insight через создание]].
Это звучит как стандартная практика: конечно, системы необходимо оценивать! Но большинство системных проектировщиков не воспринимают «серьезно» всерьез: [[Создателям инструментов обычно не хватает связи с серьезным контекстом использования]].
Наблюдение за тем, как ваши теории (представленные в системах) взаимодействуют с реальностью, может дать понимание, которое поможет улучшить ваши теории. Характер этих идей будет зависеть от контекста, в котором использовалась система. Если система не будет использована всерьез, идеи будут больше похожи на те, которые мог бы увидеть чистый теоретик. Это было возможно без фактического построения системы.
Pixar - хороший пример организации, которая создает серьезные контексты использования, которые, в свою очередь, управляют дизайном системы: [[Фильмы и разработка технологий Pixar выступают в виде сопряженных маховиков]].
Общие проблемы:
* [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]]
** [[Группы, изучающие инструменты для мышления, нуждаются в достаточном потенциале для создания прототипов, пригодных для серьезной работы]]
Связанная теория:
* [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]
* [[Авторская среда значительно окрашена мотивами авторов]]
* [[Мощные благоприятные среды сосредоточены на использовании экспертами]]
!!!Ссылки
Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft
Конкретно: предположим, что вы хотите построить инструменты для предмета X (скажем X = дифференциальная геометрия). Если вы не будете глубоко вовлечены в практику этого предмета, будет чрезвычайно трудно создать хорошие инструменты. Это будет очень похоже на попытку создать новые инструменты для столярного дела, не занимаясь самостоятельно. Возможно, это часть того, почему такие инструменты, как *математика*, работают довольно хорошо - главный дизайнер Стивен Вольфрам имеет подлинные научные интересы в математике и физике. Конечно, не все части *Mathematica*работают одинаково хорошо; некоторые части кажутся игрушками, и кажется вероятным, что это те, которые// не используются// всерьез для компании.
Возможности наивных методов практики ограничены: [[Наивные подходы к практике: быстрое плато]]. Но это не так просто, как замена наивных методов лучшими, потому что [[Плато производительности часто требует изменения подхода к преодолению]]. Методы практики должны развиваться вместе с производительностью, потому что [[Развитие навыков требует непростого гомеостаза]].
Это часто означает, что методы практики должны разрабатываться и поддерживаться экспертом: [[Опытные тренеры способствуют эффективной осознанной практике]].
---
!!!References
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. Ericsson et al - The Role of Deliberate Practice in the Acquisition of Expert Performance
The critical importance of a correct method or strategy has also been demonstrated in date calculation (Addis & O. A. Parsons, as described in Ericsson & Faivre, 1988), mental multiplication (Chase & Ericsson, 1982; Staszewski, 1988), absolute judgment of colors and pitches (for a review see Ericsson & Faivre, 1988), motor skills (Norman, 1976), and methods of work (R. H. Seashore, 1939).
(p. 367)
По мере того, как люди разрабатывают более эффективные фрагменты для некоторой области ([[«Чанки» в человеческом познании]], [[Перекодирование может увеличить размер чанка]]), они часто включают абстрактные, зависящие от домена атрибуты в свои кодировки. Например, шахматный мастер воспринимает шахматные доски в терминах «пешечных цепочек» и «атакующих файлов» (Chase and Simon, 1973, стр. 80), а не как набор позиций фигур. Их мысленное представление о состоянии игры в шахматы абстрактно, неоднородно, многомерно и относительно неразборчиво для новичка. Музыкант-импровизатор может мыслить понятиями «напряжение» и «ожидание».
Эти абстракции делают представления {менее общими} и {более трудными для передачи} в обмен на {получение дополнительной информации в пределах определенного домена}.
Эрикссон и Пул используют это наблюдение, чтобы сделать (вероятно, слишком сильное) обобщение (2016, стр. 60):
::… Такие ментальные представления… очень «специфичны для предметной области»… Это объясняет важный факт, касающийся работы экспертов в целом: не существует такой вещи, как развитие общего навыка. Вы не тренируете свою память; вы тренируете свою память для набора цифр, наборов слов или лиц людей».
---
"""
!!!References
Чейз, У. Г., и Саймон, Х. А. (1973). Восприятие в шахматах.*Когнитивная психология*, *4*(1), 55–81. [[Чейз и Саймон - Восприятие в шахматах]]
Ericsson, A., & Pool, R. (2016).*Пик: Секреты новой науки об экспертизе*(1 издание). Имон Долан/Хоутон Миффлин Харкорт. [[Пик - Ericsson and Pool]]
"""
Надежные почтовые ящики мощны, потому что они позволяют нам [[Закрыть открытые петли]] и сосредоточиться на самой работе, а не на мета-работе.
Но эта история, кажется, повторяется постоянно:
# Вы настроили новый список задач. Все кажется таким многообещающим!
# Вы добавляете к нему вещи и проверяете вещи. Проходит время.
# Что-то возникает, и вы колеблетесь, прежде чем добавлять это в свой список дел: это может потеряться, и вам нужно убедиться, что это сделано.
# Таким образом, вы делаете липкую заметку для этой специальной задачи, за пределами вашего списка дел.
# Прилипкие ноты умножаются. Теперь у вас есть новый список дел!
# Повторите.
Почтовые ящики позволяют нам [[Закрыть открытые петли]] только в том случае, если они надежны, то есть, если вы можете что-то добавить к ним с полной уверенностью в том, что это будет «обработано» в какой-то разумные сроки. «Обработан» нечетко: вам просто нужно почувствовать, что судьба этих предметов примерно отражает ваши истинные предпочтения. Вы будете доверять системе входящих, которая в конечном итоге уронит 90% товаров, если остальные 10% были единственными, о которых вы действительно заботились. Вы не будете доверять системе входящих, в которой выполняется 90% задач, но 10%, которые не выполняются, - это те, о которых вы действительно заботились.
В эффективных почтовых ящиках может быть легко поддерживать такую уверенность: скорость вылета, естественно, превышает скорость прибытия. Но большинство почтовых ящиков информационных работников не выглядят так. Ставки очень изменчивы, что создает узкие места. Не каждый предмет на самом деле *нуждается*в обработке, но люди чрезмерно оптимистичны, поэтому предметы накапливаются в отставании.
Иногда мы можем снизить скорость прибытия; см., например [[Остерегайтесь автоматического импорта в ящик входящих для чтения]]. Обычно мы также должны увеличить скорость вылета, что трудно; см., например. [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]].
Популярная [[§Система интервального повторения]] с открытым исходным кодом .
!!!Обжаренная
[[Рецепт блюда|https://www.bonappetit.com/test-kitchen/how-to/article/charred-cabbage-christian-puglisi]]
!!!Тушеная
TODO
Проект долгосрочных исследований https://early.khanacademy.org/, изучающий динамические представления количества.
Farrar, S., Khoe, M.-L., & Matuschak, A. (2017, August 31). Numbers at play: Dynamic toys make the invisible visible. Retrieved December 31, 2019, from https://early.khanacademy.org/cantor/
All notable changes to this project will be documented here.
The format is based on [[Keep a Changelog|https://keepachangelog.com/en/1.0.0/]],
and this project adheres to [[Semantic Versioning|https://semver.org/spec/v2.0.0.html]].
!! [0.3.4] - 2021-01-26
!!! Fixed
* Tiddler's title is not displayed correctly ([[#13|https://github.com/crazko/krystal/issues/12]]) thanks [[@ericworks|https://github.com/ericworks]]
!! [0.3.3] - 2021-01-23
!!! Fixed
* Maximized tiddler above header dropdowns ([[#21|https://github.com/crazko/krystal/issues/21#issuecomment-759085177]])
!! [0.3.2] - 2021-01-05
!!! Changed
* Update TiddlyWiki to version `5.1.23`, see the official [[Changelog|https://tiddlywiki.com/#Release%205.1.23]]
!!! Fixed
* Searchbox results not displayed in new version of TiddlyWiki ([[#22|https://github.com/crazko/krystal/issues/22]])
!! [0.3.1] - 2020-10-01
!!! Fixed
* Scrolling to newly opened tiddlers when they do not fit into the view ([[#3|https://github.com/crazko/krystal/issues/3]])
!! [0.3.0] - 2020-08-22
!!! Added
* Add option to maximize tiddler width ([[#6|https://github.com/crazko/krystal/issues/6]])
!! [0.2.1] - 2020-08-03
!!! Fixed
* Tiddlers do not overflow when statically exported ([[#9|https://github.com/crazko/krystal/issues/9]])
!! [0.2.0] - 2020-07-02
!!! Changed
* Hide "Links to this note" box when there are no backlinks to the current tiddler
!! [0.1.7] - 2020-06-28
!!! Changed
* New possibilities of [[Customizable Header]] ([[#8|https://github.com/crazko/krystal/issues/8]])
!! [0.1.6] - 2020-06-27
!!! Added
* Tiddlers styling options (width & padding), see [[$:/plugins/rmnvsl/krystal/settings]] ([[#7|https://github.com/crazko/krystal/issues/7]])
... previous versions changelog not provided.
There are two ways of header customization:
# Use tag {{$:/tags/SideBar||$:/core/ui/TagTemplate}} to update header links. You can read [[How to add a new tab to the sidebar|https://tiddlywiki.com/#How to add a new tab to the sidebar]], the process is the same.
# Use tag {{$:/plugins/rmnvsl/krystal/header||$:/core/ui/TagTemplate}} to update sections.
!! Ordering
You can use fields `list-after` and `list-before` to sort the items. See [[Order of Tagged Tiddlers|https://tiddlywiki.com/#Order of Tagged Tiddlers]] for more information.
Currently, the styling of search bar is hardcoded to be right aligned, so everything listed after it will be in the right corner.
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
See the reference link below? You can find a reference to this tiddler also in the [[Installation]].
https://www.executeprogram.com
Execute Program предлагает интерактивные уроки по инструментам программирования от Гэри Бернхардта . Уроки перемежаются прозой с живыми задачами программирования. Подобно [[Мнемоническая среда]], сайт интегрирует [[§Система интервального повторения]] для повторения задач уроков с течением времени.
* Опыт урока:
** [[Уроки Execute Program разворачивают свою прозу в ответ на взаимодействие с читателем]].
*** [[Читатели отвечают на запросы «Execute Program», выполняя программу]].
**** [[Execute Program не имеет неисполняемых запросов]]
**** [[Подсказки Execute Program действуют как подсказки приложения и напоминания]].
*** [[Уроки Execute Program довольно короткие]]
* Курс и структура системы:
** [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]].
**** [[Уроки Execute Program предполагают твердое напоминание предыдущего материала]].
**** [[Пропущенные ответы в обзорах Execute Program не наказывают учащегося, если он не «сдастся»]].
*** [[Механика прогресса Execute Program делает упор на выполнение новых уроков, а не на увеличение продолжительности воспроизведения]]
Related: [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]]
[[Читатели отвечают на запросы «Execute Program», выполняя программу]]. [[Execute Program]] не имеет других типов запросов.
Например, урок по регулярным выражениям может иметь такую подсказку:
"""
Q. Каков результат `/a..b/.test(“a\ncb”)?`
А. false
Читатель ответил бы на это приглашение, фактически введя `false` в REPL и выполнив выражение.
На этом уроке не могло быть и более типичной системной подсказки с интервалом повторения :
Q. Какие символы не совпадают (во многих реализациях)?
А. `\n`
Уроки, которые в основном носят концептуальный характер (например, [[анализ ограничений SQL|https://www.executeprogram.com/courses/sql/lessons/constraint-analysis]]), плохо вписываются в эту модель.
Поскольку у Execute Program есть только один тип подсказки: [[Запросы Execute Program действуют как подсказки приложения и подсказки отзыва]] .
Q. Каков пример приглашения, которое Execute Program не может закодировать?
A. например, «Q. В чем разница между *и +? A. не *допускает совпадений»
Q. Почему в уроке анализа ограничений SQL Execute Program нельзя использовать систему интервального повторения?
A. Этот урок в основном концептуальный, и его идеи трудно закодировать в виде исполняемых выражений.
"""
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
Это заметка верхнего уровня для работы над проектом по созданию учебника Физика 7, в которую я собираю все идеи
!!!Сформулировать неотъемлимую цель
Нам нужно сформулировать идею для учебника, которая соответствует тезису [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]. Примером такой идеи может быть выпускной Проект - Demo Day как в YC.
!!!Метрики проекта
* Вопросы
** Как мы поймем, что мы достигли успеха? Что является целевой метрикой проекта?
** Дети умеют решать задачи лучше сверстников (как это измерить)?
** Больше детей решает задачи повышенной сложности?
** Если мы решили делать перевернутые уроки и проекты, нам надо определить наш бюджет по времени. И это должно быть согласовано с учебником - сколько уроков всего мы можем провести? Сколько времени на проект мы выделяем?
** Можно использовать OYLA для основы, после того как мы получим структуру книги
!!!Общие вопросы:
* Какой проект могут собрать дети?
* Кто может выступить наставником и готовить группы?
* Надо ли поддерживать конкуренцию между группами (если будут группы)? - нельзя поражать в правах детей, должна быть справедливость
* Семиклассники способны вести проекты?
* Это должен быть один проект (что противоречит нашей идеологии о постоянном тестировании) или это должна быть серия небольших проектов?
!!!Вопросы для папы
"""
Q1. Если способ контролируемо измерить и сравнить две методики обучения по физике?
A1. Да, мы будем делать тестирование с открытыми тестами
Q2. Сколько времени необходимо для проведения такого эксперимента с момента старта эксперимента до получения результатов тестирования?
A2. Мы планируем захватить 2 четверти
Q3. Необходимо ли получение разрешение родителей для проведения такого эксперимента
A3. Да, родителей необходимо подготовить.
a) в этом может быть наша возможность - если родители проникнутся нашей идеей, они будут жетско контролировать учеников.
б) в этом может быть наша проблема - если родители будут жетско контролировать учеников, мы получим искуственную мотивацию
Q4. Если мы будем использовать веб среду, смогут ли дети заходить и отвечать на карточки ежедневно или нужно мобильное приложение?
A4. У детей есть доступ к интеренету. Скорее всего надо делать мобильную верстку и скорее всего нам придется делать отдельую страницу для каждого ученика!
"""
!!! Сырые идеи
* Надо сделать наклейки с прикольными формулами, законами и каким-то приколами на счет физики, может с Эйнштейном и Ньютоном - узнать цены, разработать дизайн и наклейки
* Надо сделать физику модной - прикольные футболки и толстовки для эксперемент класса - Рикки и Мортин - узнать цены, разработать дизайн и сделать футболки
* Надо повестить проектор в классе и показывать фильмы/ролики про физику - сделать подборку таких фильмов, в соответствии с изучаемыми темами
[[Gingko|https://gingkoapp.com/]] - это веб-инструмент для письма с необычной иерархической архитектурой интерфейса.
Авторы пишут, создавая «карточки» изначально в крайнем левом столбце. Этот столбец предназначен для составления резюме «верхнего уровня». Каждая карточка может иметь развернутые карточки, раскрывающие эту тему в среднем столбце и так далее, в третьем столбце (или глубже). Таким образом, писатели могут одновременно работать с высоким и низким уровнем детализации, поддерживая [[Периферийное зрение]]. Одна из глубоких колонок станет последней рукописью.
Модель относится к методам, предложенным в [[Создавайте спекулятивные контуры во время написания заметки]], но с более сильной связью между заметкой схемы и ее составляющими. Эта структура подчеркивает легкость за счет атомарности (см. [[Вечнозеленые заметки должны быть атомарными]], [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]].
Похоже, что глубоко иерархическая модель предполагает, что вы можете писать «извне внутрь». То есть сначала вы напишете высокоуровневые детали, а затем заполните их. Я часто обнаруживаю, что не могу вообще увидеть высокоуровневую структуру, пока не напишу все атомарные детали: [[Вечнозеленые заметки - безопасное место для развития безумных идей]]. Также противопоставьте [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]].
Но мне действительно нравится, как он устраняет трение от «детализации» деталей. Иногда я обнаруживаю, что не знаю, как разбить набор запутанных идей, поэтому в конечном итоге пишу одну заметку с множеством подзаголовков. Это неизбежно в конечном итоге требует рефакторинга, что является настоящим трением.
Такой иерархический редактор интересен во всех контекстах. Например, используя его для создания многоуровневого журнала, чтобы вы могли видеть на протяжении многих лет , месяцев, недель, дней. Также интересно представить, как использовать это в качестве инструмента для решения проблем, описанных в [[Трудно поддерживать согласованные планы, охватывающие многие временные горизонты]]. [[Вот пример|https://gingkoapp.com/planning-template]] Гингко, используемого в качестве планировщика проекта.
[[Безболезненное написание диссертации - приложение Gingko|https://gingkoapp.com/p/academic-writing-software/]]. Писать исследовательские работы сложно не потому, что вы недостаточно знаете, а потому, что вы знаете слишком много… Когда ты в нем, все, что ты видишь, - это дьявольские подробности.
Что, если бы существовал способ писать, который заставлял бы вас всегда держать в поле зрения общую картину? Итак, пока вы записываете детали этого конкретного аргумента / эксперимента / результата, вы все равно можете видеть, как он вписывается в вашу тему.
Что, если бы ваши заметки каким-то образом стали планом вашей диссертации?
Тогда ваш план стал вашей диссертацией и вашими публикациями одновременно?
https://www.gwern.net/GPT-3
https://notes.andymatuschak.org/z27aRzfKv9AhrdENveH1MhBGWj9HzTe5R1pZ
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
(См. Центральное обсуждение в разделе [[«Как мы можем разработать преобразующие инструменты для мышления; подраздел« Как изобрести индо-арабские цифры?»|https://numinous.productions/ttft/#how-to-invent-hindu-arabic-numerals]])
* Мощные системы выражают глубокое понимание основного предмета
** Практика студийного дизайна не может создать самые мощные [[Инструменты для размышления]]: [[Изобретение индо-арабских цифр требует как гения дизайна, так и гения математики]].
В определенных обстоятельствах, с определенным набором навыков, с использованием определенных процессов, создание этих систем фактически дает маргинальное понимание предмета, что, в свою очередь, позволяет усовершенствовать системы и так далее. Это цикл «понимания через создание».
Но это требует глубоких знаний в предметной области.
Определенные теоретические выводы не очевидны, если смотреть на теории изолированно. Но когда эти теории воплощаются в системах, наблюдения за поведением системы могут раскрыть теорию под новым углом, расширяя пространство возможного понимания. В лучшем случае теоретические идеи расширяют системы, которые вы можете построить, а идеи из этих систем расширяют вашу теорию в благотворном цикле.
Но для достижения обеих «половин» этого цикла требуется опыт как в создании системы, так и в предмете; То есть [[Изобретение индо-арабских цифр требует как гения дизайна, так и гения математики]].
Большинство практиков сосредотачиваются либо на развитии теоретического понимания, либо на создании систем, обращаясь только на словах к другой половине этого цикла. Ученые часто создают игрушечные системы, которые не создают значимого контекста для их идей ([[Академические программные интерфейсы обычно не подходят для серьезного использования широкой аудиторией]]). Дизайнеры и инженеры часто сосредотачиваются на создании систем без глубокого понимания теории, лежащей в основе этой системы.
Практики обоих типов часто разрабатывают системы ради разработки системы, а не для решения какой-то лично значимой проблемы, которую они очень мотивированы решить: [[Создателям инструментов обычно не хватает связи с серьезным контекстом использования]]. Понимание, получаемое из таких систем, обычно довольно слабое: [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]].
Это понимание особенно важно при разработке [[Инструменты для размышления]].
Подробнее о том, как достичь понимания с помощью создания:
* [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
* [[Insight через создание самого начала предпочитает бриколаж, а не долгий процесс дизайна]]
!!!References
Matuschak, A., & Nielsen, M. (2019 0). How can we develop transformative tools for thought? https://numinous.productions/ttft
//[[Бриколаж|https://ru.wikipedia.org/wiki/%D0%91%D1%80%D0%B8%D0%BA%D0%BE%D0%BB%D0%B0%D0%B6]] – это техника или творческий способ, при котором прототипы продуктов строятся из различных материалов, имеющихся в наличии; происходит реконструкция и повторное использование отдельных материалов или артефактов для получения новых смыслов и прозрений//
При разработке систем, которые раздвигают границы их собственной фундаментальной теории, [[Insight через создание]] предполагает, что вам нужно будет одновременно прогрессировать в теории-пространстве и системном пространстве, чтобы обнаружить новые последствия в их сопряженном пространстве. [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]: вы должны постоянно создавать новые теоретические идеи в новых системах, а затем наблюдать за их воздействием в каком-то серьезном контексте использования.
Эти маленькие петли обратной связи лучше подходят для бриколажа, чем для большого дизайна. Но что очень важно, вы должны попытаться сделать так, чтобы бриколаж сросся: часто возникает соблазн перейти в //походку пьяницы//. [[The Drunkard’s Walk|https://en.wikipedia.org/wiki/The_Drunkard%27s_Walk]]
The Drunkard’s Walk обсуждает роль случайности в повседневных событиях и когнитивные предубеждения , которые приводят людей к неправильному толку случайным событиям и стохастическим процессам. Название относится к определенному типу случайного обхода, математического процесса, в котором одна или несколько переменных изменяют значение в результате серии случайных шагов.
Я подозреваю, что это одна из причин, почему системы Теда Нельсона не были такими успешными, как могли бы: он и его коллеги занимались бесконечным предварительным проектированием, серьезно не используя свои идеи для написания текста или выполнения своей работы.
Одна важная проблема: [[Высокие затраты на переключение между разработкой программного обеспечения и исследовательским мышлением]].
!!!Ссылки
Я, вероятно, забываюсь на стороне того, чтобы просто сделать вещи реальностью… Я получаю так много острых ощущений, оживляя вещи… как только это оживает, он начинает говорить вам, что это такое.
—Дэн Ингаллс, как цитируется в Nielsen, M. (2018). [[Увеличение долгосрочной памяти|http://augmentingcognition.com/ltm.html]]
You can either:
* save this whole ~TiddlyWiki by clicking the save button {{$:/core/ui/Buttons/save-wiki}}
* add just the ''bare'' plugin by dragging the following link onto your project [[$:/plugins/rmnvsl/krystal]]
* already installed? Check how to [[Update]] to the new version.
!!! ⚠ Warning
Although it's already possible to use this plugin (I do use it for my notes in the current development stage), it's an early alpha and has several drawbacks. Just to name a few:
# animations and transitions are buggy in some cases 🐛
# I'm still looking around how ~TiddlyWiki works 🤸♂️
Персональный сайт - https://nxhx.org/.
Автор [[Человеческие системы]]
Kawara - это приложение для iOS, созданное в начале 2020 года, которое периодически собирает и представляет контент в ежедневных сеансах просмотра. Это тип разнесения всего , без каких-либо конкретных действий по взаимодействию с элементами - вы просто просматриваете элемент и переходите к следующему.
Их объяснение для прессы, состоящее из одного предложения:
::Kawara помогает облегчить выгорание в социальных сетях и выработать более здоровые привычки, предоставляя ежедневную коллекцию вещей, которые вы хотите запомнить; люди, музыка, искусство, что угодно.
Но Kawara совсем не так представляется потребителям:
[img[Снимок экрана 2021-04-19 в 5.45.05 PM.png]]
Речь идет о памяти, в некотором роде, но в легкой форме: «Кавара не позволяет мне {забыть}, но не {заставляет} меня {помнить}». См. раздел [[Механика интервального повторения создает ощущение легкости]].
Его создал {Джон-Кайл Мор}, художник-технолог из Лос-Анджелеса. Его бизнес-модель - подписка на $2 в месяц. Похоже, это небольшой побочный проект автора.
!!!Механика
Что будет, если вы пропустите день? Накапливаются ли вещи или их просто пропускают? Точно сказать не могу.
Никакой «механики прогресса» и никакой динамической настройки каденции. Вас просят выбрать ритм при добавлении элемента, и все. Я считаю, что это странный выбор: я часто понятия не имею, когда впервые вижу что-то, как часто я хочу это видеть. Когда вас просят сделать выбор, это неприятно и тяжело. Не думаю, что обычно делаю этот выбор правильно. А регулировка интервала напрямую кажется ужасно неудобной. Но, возможно, это чрезмерная оптимизация. Может быть, подходит грубый инстинктивный выбор интервала, особенно для небольших коллекций?
[img[Снимок экрана 2021-04-19 в 5.46.54 PM.png]]
"""
Q. Как устанавливаются интервалы между предметами в Kawara?
A. Они указываются пользователем вручную во время загрузки.
"""
!!!Презентация
Маркетинговый веб-сайт представляет приложение в очень «миллениальном» стиле. Он сидит в шезлонге, в солнцезащитных очках и шортах, и он слегка побит камнями. На мой вкус это немного повлияло на меня, но действительно удачно убрало этот формат из «эффективности памяти» Спока. Большинство маркетинговых примеров сосредоточены на эстетическом материале, творческом вдохновении и т. Д. Что характерно, это интеграция are.na. Это не целенаправленно, это для того, чтобы «видеть хорошие вещи». Это интересное решение. [[Текущая концепция Orbit чрезмерно сосредоточена на памяти; где поэзия?]]
Акцент на возвращении к тому, что вам показалось интересным, но без какой-либо конкретной формы взаимодействия, очень похож на [[Readwise]] . Простой список основных моментов Readwise не сработал для меня: мои глаза просматривают его, а затем я архивирую электронное письмо, не особо увлекаясь. Но, возможно, визуальный материал существенно отличается.
Их маркетинговое видео отличается по эстетике, немного более солнечным в Instagram, но все же поэтичным. Подача сосредоточена на том, чтобы избежать откладывания на потом и отвлечения внимания.
::Используя интервалы для задания ритма, мы можем поддерживать его немного здоровее и лучше жить в то небольшое время, которое у нас есть. Kawara позволяет вам следить за чем угодно и где угодно в удобное для вас время - от одного раза в несколько дней до одного раза в несколько месяцев. Вместо постоянного обновления он предоставляет вам ежедневную коллекцию и не обновляется до завтрашнего дня. За все время: Kawara.
[img[Снимок экрана 2021-04-19 в 5.47.09 PM.png]]
[img[Снимок экрана 2021-04-19 в 5.47.16 PM.png]]
[img[Снимок экрана 2021-04-19 в 5.47.22 PM.png]]
Я действительно не знаю, как это разобрать, но это определенно вызывает воспоминания.
[img[Снимок экрана 2021-04-19 в 5.47.35 PM.png]]
[img[Снимок экрана 2021-04-19 в 5.47.42 PM.png]]
[img[Снимок экрана 2021-04-19 в 5.47.47 PM.png]]
[img[Снимок экрана 2021-04-19 в 5.48.01 PM.png]]
|!Version |0.3.4|
|!Published |<$view field="modified" format="date" template="MMM DDth, YYYY" />|
|!GitHub |https://github.com/crazko/krystal|
! Horizontal Story River
This plugin is an attempt to bring [[Andy Matuschak's Evergreen notes|https://notes.andymatuschak.org/]] system into [[TiddlyWiki|https://tiddlywiki.com/]]. I found it by reading articles by [[Anne-Laure Le Cunff|https://nesslabs.com/]].
Thanks both for the inspiration, my (thinking about) notes finally started to become (somehow) useful!
Made by [[Roman Veselý|https://romanvesely.com/]] - <span class="krystal-icon">{{$:/core/images/github}}</span> [[@crazko|https://github.com/crazko]], <span class="krystal-icon">{{$:/core/images/twitter}}</span> [[@rmnvsl|https://twitter.com/rmnvsl]]
!! Features
* horizontal story view for tiddlers (see [[Example]] 👉)
* bi-directional links at the bottom of each tiddler
* [[Customizable Header]] instead of sidebar
* edit/view [[Toolbar option to maximize tiddler width]]
* nice animations and transitions 🐮
!!! Customizable in [[plugin settings|$:/plugins/rmnvsl/krystal/settings]]
* closing open tiddlers to the right
* highlight links of open tiddlers
* tiddler style (width & padding)
---
* [[Changelog]]
* [[Installation]] / [[Update]]
* [[Update]]
* [[Setup]]
* [[Recommended plugins]]
You can leave a feedback here https://github.com/crazko/krystal/issues. Thanks!
https://www.liquidtext.net/
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
Minecraft - это [[Благоприятная (стимулирующая) среда]]: многие люди могут создавать в ней огромные трехмерные конструкции, и в противном случае они не смогли бы этого сделать. [[Большинство игр не являются благоприятной средой]], поэтому поучительно сравнить Minecraft с The Diamond Age’s Primer, который также стремится реализовать через игровую среду. Можем ли мы чему-нибудь научиться у одного, что могло бы улучшить другое?
!!!Майнкрафт > The Primer
Minecraft расширяет возможности игроков для 3D-моделирования за счет нового дизайна представления (редактирование вокселей) и социального обучения (бесконечные видеоролики на Youtube, многопользовательский режим). The Primer дает возможность с помощью [[Когнитивный каркас]] и [[Реализованный опыт]].
Опытный разработчик 3D-моделирования, использующий Minecraft, может на самом деле обнаружить, что представление вокселей дает им новые полезные перспективы, в то время как [[The Primer не делает экспертов лучше в чем-либо]].
Действия Minecraft имеют внутреннее значение для многих людей: творческое самовыражение, эстетический опыт и т. д. Между тем, [[Деятельность The Primer имеет внутреннее значение для Нелл только потому, что ее жизнь бедна]].
Minecraft не имеет скрытых целей; его авторы интересуются игрой и миростроительством. В этом нет ничего циничного или покровительственного. Индоктринационная программа The Primer иногда делает его деятельность снисходительной. [[Авторская среда значительно окрашена мотивами авторов]].
Minecraft не пытается «учить». Еxго дизайн посвящен теме [[«Найди развлечение»]]. [[The Primer - это, по сути, обучающая игра]], а [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].
!!!The Primer > Minecraft
Поскольку мир Minecraft генерируется процедурно и требует небольшого повествования, на самом деле он не является средством общения. Тщательно продуманный разыгранный опыт «Букваря» - это пример того, как «Реализованный опыт» усиливает силу повествования.
Minecraft расширяет возможности игроков для 3D-моделирования, но его инструменты не предназначены для сложных задач моделирования в реальном мире. Он не заинтересован в том, чтобы помочь игрокам перейти в другую, более мощную среду; на самом деле он не имеет в виду серьезного внешнего стремления. В отличие от Primer, у Primer очень серьезные устремления, а Primer - это один из самых больших «ознакомительных» моментов на всю оставшуюся жизнь Нелл.
!!!Смотрите также
[[Primer++ встроен в поле, стимулируя участие через принятый опыт]].
[[The Primer не является жизнеспособной благоприятной средой]]
Популярная [[§Система интервального повторения]] с открытым исходным кодом. Основной разработчик - {Питер Бинстман}, бельгийский ученый.
Mnemosyne собирает анонимные данные о пользователях с 2006 года, но я обнаружил на удивление мало работы с этими данными. Электронное письмо Питеру подтверждает, что серьезных анализов не проводилось. Странно.
Одна из серьезных проблем с этими данными, как и с SuperMemo, заключается в том, что у пользователей мало или совсем нет перекрывающихся запросов. Таким образом, для данного приглашения, вероятно, есть только один образец точности при данном повторении.
Лоскутный проектный курс компьютерных систем, в котором учащиеся собирают свой собственный компьютер от сырых ворот до игры в тетрис. Авторы Ноам Нисан и Шимон Шокен [[Main page Nand2tetris|https://www.nand2tetris.org/]]
Некоторое отношение к [[Исполняемые книги]]: значительная часть курса состоит из схем, операционной системы и других программных примитивов, созданных студентом. Инструкторы также предоставляют среду моделирования / исполнения. Одним из важных элементов является то, что входные и выходные данные теста предоставляются для каждого проекта, поэтому учащийся может автоматически получать отзывы о своей работе.
В отличие от большинства исполняемых книг, цель этой книги не в том, чтобы вы читали и понимали код эксперта, а в том, чтобы вы сами написали его. ( [[Исполняемые книги подчеркивают важность понимания уже существующего кода, а не написания нового кода]]).
К сожалению, учебные материалы сильно оторваны от исполняемых компонентов; первые поставляются в виде PDF-файлов, вторые - в виде заархивированных файлов.
Термин, который использовался для описания средств массовой информации, сродни исследуемым объяснениям, но которые интегрируют повествовательный опыт в интерактивную среду, а не разделяют их, как это обычно делается.
Примеры:
* [[Визуализация кватернионов|https://eater.net/quaternions]]
* [[Уроки компьютерного программирования в Khan Academy|https://www.khanacademy.org/computing/computer-programming/programming/drawing-basics/pt/making-drawings-with-code]]
** в увеличенном масштабе: [[Scrimba|https://scrimba.com/]] - ''это можно посмотреть для fiz''
* [[Кантор|https://early.khanacademy.org/cantor/]]
Related: динамические носители обычно не имеют авторского измерения времени
!!!References
[[Рассказанные исследования: три ментальные модели|https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1]]
https://notes.andymatuschak.org/z2Zh745BsDC3CbVwCbm2aRvaVfqBR6KUpxXE
[[The Primer не является жизнеспособной благоприятной средой]], но он предлагает многообещающее направление. Одна из проблем, связанных с созданием благоприятных условий (например, в области науки), заключается в том, что [[Благоприятная среда сосредоточена на том, что включено]], но для начинающих участников это часто невозможно, поэтому они в конечном итоге увязают в абстрактных вводных материалах. Один многообещающий подход: [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]. К сожалению, [[Реализованный опыт]] сложно создать, и [[Реализованный опыт трудно распространять]].
[[The Primer - это огромный реализованный опыт]], и это часть того, что люди находят в нем таким неотразимым. Это не совсем бутстрап, как я описываю, но Учебник по параллельным вселенным мог бы: [[Реальный опыт интеллектуальных открытий может вызвать любопытство и интерес Нелл (сомнительно)]].
Как показано, Нелл не знает и не разделяет целей The Primer. Она хотела закончить его, а затем оставить его позади: [[The Primer - это один большой опыт «онбординга» на всю оставшуюся жизнь Нелл]]. Было бы обреченным на провал категорически отделять описываемый мною «самозаготовительный» опыт от благоприятной среды, на которую они нацелены. Напротив, Primer ++ будет частью поля, которое он открывает, и его участники будут разделять цели его создателей.
Подготовленный таким образом The Primer мог бы больше походить на принятый опыт наставничества, предоставляемый в крупных организациях, за исключением того, что [[The Primer является масштабируемым]] . (См. также [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]])
Первый проект Andy Matuschak в [[Мнемоническая среда]], учебник по квантовым вычислениям и квантовой механике ([[Quantum Country|https://quantum.country]])
* [[Влияние мнемонического носителя на память читателя]]
https://notes.andymatuschak.org/z2ewMN8Hzd8gt4qyfQV1ognJ5PQs3CXxDfCJ
Installing following plugins will make the work with your ~TiddlyWiki easier:
* [[Relink|https://flibbles.github.io/tw5-relink/]] - When renaming a tiddler, Relink can update the fields, filters, and widgets of all other tiddlers.
* [[Edit-CompText|https://snowgoon88.github.io/TW5-extendedit/]] - This plugin adds completion when editing the body of a tiddler.
* [[TiddlyRemember|https://sobjornstad.github.io/TiddlyRemember/]] - A tool that integrates the TiddlyWiki with the spaced-repetition-flashcards tool [[Anki|https://apps.ankiweb.net/]]
* [[Streams|https://saqimtiaz.github.io/sq-tw/streams.html]] - Streams is a keyboard friendly way to write and easily divide your text into separate tiddlers while writing.
* [[Refnotes|https://kookma.github.io/Refnotes/]] - Refnotes is a set of macros and stylesheets for creating abbreviations, footnotes and citations.
!!! Title
<$edit-text tiddler="$:/SiteTitle" default="" tag="input"/>
!!! Subtitle
<$edit-text tiddler="$:/SiteSubtitle" default="" tag="input"/>
Go to [[plugin settings|$:/plugins/rmnvsl/krystal/settings]] for more options. Make sure you also check the list of [[Recommended plugins]].
How to [[get started|GettingStarted]]? See the [[control panel|$:/ControlPanel]] for more options.
Оригинальная цифровая [[§Система интервального повторения]], созданная Piotr Wozniak. Включает поддержку различных связанных систем управления личной информацией, таких как [[Поэтапное чтение]]
В The Diamond Age одна из самых поразительных особенностей The Primer заключается в том, что он почти полностью передает действующий опыт , как и большинство видеоигр. Это наглядно демонстрирует, как [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]].
Испытать The Primer - значит отправиться в приключения, разгадывать головоломки, рассказывать истории и т. д. - но все эти действия созданы для того, чтобы вызывать определенные эмоциональные реакции, прививать определенные ценности и передавать определенные представления. Есть авторское повествование, но каждую страницу переворачивают действия Нелл; [[Реализованный опыт усиливает силу повествования]] и создается впечатление, что она создает историю.
[[Обучающие игры пытаются научить через реализованный опыт]], и действительно, The Primer по сути является образовательной игрой. Но Primer гораздо более амбициозен в использовании разыгрываемого опыта, чем любая существующая образовательная игра.
---
!!!References
Stephenson, N. (2003). The Diamond Age: Or, a Young Lady’s Illustrated Primer (Reprint edition). Spectra.
Цель The Primer - воспитывать творческую, подрывную молодежь , но с практической точки зрения занятия в [[Иллюстрированный The Primer "Юная леди»]] преследуют те же цели, что и [[Обучающие игры]]: формирование навыков, привитие ценностей и передача знаний. Фундаментальная теория для обеих форм заключается в том, что можно разработать действия, которые достигают этих целей, как неизбежное следствие участия без принуждения ([[The Primer, похоже, не принуждает студентов]]).
Подобно образовательной игре, The Primer часто скрывает истинные цели своей деятельности, вместо этого апеллируя к эстетике, развлечениям или повествованию: [[Нелл не знает и не разделяет целей The Primer]]. Как ни странно, Букварь фактически излагает эту теорию непосредственно Нелл в одной из своих историй: «Но мы так заняты своими упражнениями и упражнениями», - сказал я. «У нас есть время поиграть с ребенком в игры, как вы обещали?» «Что такое игра, как не упражнение, одетое в яркую одежду?» Сказал Додзё ». (стр.182)
Учебник удаляет большую часть этого налета по мере роста Нелл, но тогда целью деятельности становится само развитие навыков, а не какая-то внутренне значимая цель (в отличие от деятельности [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
Это одна из основных причин того, что [[The Primer не является жизнеспособной благоприятной средой]].
Многие люди с энтузиазмом относятся к реализации [[Иллюстрированный The Primer "Юная леди»]] в реальной жизни. К сожалению, [[The Primer - это, по сути, обучающая игра]], поэтому она не является жизнеспособной стимулирующей средой по тем же причинам, по которым [[Обучающие игры - это обреченный подход к созданию благоприятной среды]] - плюс еще несколько.
[[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]], но [[Деятельность The Primer имеет внутреннее значение для Нелл только потому, что ее жизнь бедна]]
Цель The Primer - помочь Нелл стать творческим, «интересным» мыслителем, но вместо этого [[Явные обучающие квесты The Primer учат Нелл делегировать свое любопытство и интерес]].
[[Мощные благоприятные среды сосредоточены на использовании экспертами]], но [[The Primer не делает экспертов лучше в чем-либо]].
[[Авторская среда значительно окрашена мотивами авторов]]; Авторы The Primer мотивированы улучшением общества, а не головоломками и приключениями. Учебник также не соответствует эвристике, описанной в разделе [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].
[[Благоприятная среда сосредоточена на том, что включено]]. Способность к оригинальному мышлению - это самая важная вещь, которую пытается реализовать The Primer, но [[Нелл не делает оригинального мышления внутри The Primer]], и на самом деле [[Нелл не знает и не разделяет целей The Primer]].
Букварь лучше понять таким образом: [[The Primer - это один большой опыт «онбординга» на всю оставшуюся жизнь Нелл]].
Для сравнения «на собственном примере» см. [[Minecraft против the Primer]].
Но: одно оправдание! Люди интуитивно понимают, что The Primer является жизнеспособной благоприятной средой, потому что [[The Primer очень полезен и напоминает людям об их собственном опыте]]. Действительно, [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. The Primer действительно в основном ориентирован на личностный рост, а не на конкретные навыки, хотя он хуже справляется с наведением мостов к действию ([[The Primer - это один большой опыт «онбординга» на всю оставшуюся жизнь Нелл]]).
Одна из причин, по которой //«The Diamond Age’s» Primer// кажется захватывающим, заключается в том, что это в основном программное решение для передачи ценностей, передачи знаний и наставничества. Другие решения либо очень дороги (личные отношения, наставники и т. д.), Либо гораздо менее убедительны (учебники, лекции и т. д.). Даже постольку, поскольку [[«ракторы»|https://docs.ruby-lang.org/en/3.0.0/Ractor.html]] являются необходимым компонентом, Primer по-прежнему является гораздо более дешевым способом распространения этого типа материала.
Поскольку [[The Primer - это огромный реализованный опыт]], один из полезных способов думать об идеях The Primer - это то, что [[Реализованный опыт трудно распространять]], но [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].
---
!!!References
Stephenson, N. (2003). The Diamond Age: Or, a Young Lady’s Illustrated Primer (Reprint edition). Spectra.
1. Реализованный опыт и Принятый опыт - одно и тоже. Надо заменить везде
{{maximize-tiddler.png}}
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Visit [[$:/ControlPanel]] > Appearance > Toolbars > Edit Toolbar / View Toolbar.
Find ''<span class="krystal-icon">{{$:/plugins/rmnvsl/krystal/images/maximize-tiddler}}</span> maximize tiddler'' option, check the checkbox to make it visible in the toolbar and/or drag & drop to re-position.
Тим Руни сделал колоду [[Mochi]], представляющую содержание другой ветки в Твиттере, которую он нашел интересной, а затем опубликовал эту колоду в Твиттере: Тим Руни в Твиттере: «Эксперимент: для веток Twitter Я создал колоду карточек, чтобы помочь сохраните эту фантастическую катарскую ветку (~ 70 твитов) https://t.co/4mxrPgDSOg
В этом рабочем процессе есть огромное количество трений, и он слишком нестандартный, но это забавная подсказка для дизайна:
Как мы можем позволить кому-либо запоминать подробности обсуждения в Твиттере почти без усилий?
Каждый твит может содержать URL-адрес, указывающий на карточки, содержащие информацию об этом твите. Или последний твит в шторме твитов может включать URL-адрес всей цепочки. Любой подход требует выхода из Twitter, что немного прискорбно. Расширение браузера могло бы позволить встроенное отображение карточек, подобно некоторым стратегиям, описанным в [[Как мы можем адаптировать существующие тексты к мнемонической среде, без участия автора?]]
!!!References
Tim Rooney on Twitter: [[Experiment|https://twitter.com/tjrwriting/status/1205958684221853702]]
⚠ Better to make a backup before, just in case something went wrong.
Drag & drop the link [[$:/plugins/rmnvsl/krystal]] to your TiddlyWiki. It should ask you to import the plugin & replace old version with the new one.
Not installed yet? See [[Installation]] for more instructions.
[[Free Linear Algebra textbook, from Jim Hefferon|http://hefferon.net/linearalgebra/index.html]]
«У вэй» - это китайское понятие, которое примерно переводится как «{действие без усилий}».
В историческом контексте он обычно используется в духовном смысле, описывая человека, который ведет себя гармонично, спонтанно, непринужденно. Но я считаю, что это интересное свойство для разработки программного обеспечения.
Утилита для Mac Quicksilver познакомила меня с этой фразой в начале 2000-х годов. Разработанный Николасом Джиткоффом, он позволял пользователям запускать программы и выполнять команды, нажимая Command + Пробел с последующим несколькими нажатиями клавиш. Его быстро подражали LaunchBar, Alfred и Spotlight. Но что важно, так это ощущение этого дизайна - усилие, почти бездумность. Я переключался на другое приложение, двигая несколькими пальцами, даже не осознавая, что сделал это. Это сильное чувство.
[[Y Combinator|https://www.ycombinator.com]] - это инкубатор стартапов, который, помимо финансирования, предлагает своим участникам структурированную среду, предназначенную для ускорения как их компании, так и их личных возможностей. Многие из мероприятий сосредоточены на передаче отточенного набора практик и ценностей: например, собеседования и ужины с успешными прошлыми основателями почти мифически передают культурные знания; канонический набор книг и бесед делает то же самое; сжатые временные рамки Demo Day требуют определенного способа действий; рабочее время обеспечивает прямое обучение по тем же принципам.
Y Combinator - это [[Благоприятная (стимулирующая) среда]]: основатели регулярно сообщают, что внезапно обнаруживают, что они могут делать гораздо больше - и не только благодаря средствам. Это похоже на школу в некотором поверхностном смысле, но ключевое отличие состоит в том, что вся деятельность основателя вращается вокруг создания стартапа, которым они до смешного увлечены, а не вокруг изучения некоего абстрактного набора навыков, которые призваны сделать возможным что-то внутренне значимое позже ([[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).
Y Combinator - это тоже [[Реализованный опыт]]. Структурируя свою жизнь вокруг обедов, вех, переговоров и рабочего времени, основатели довольно последовательно усваивают определенный набор практик и ценностей, а на таких мероприятиях, как Demo Day, они довольно ''последовательно испытывают определенный набор эмоциональных переживаний''- это крейний важный поинт, возможно это то, ради чего идут в YC.
Но многие из этих переживаний не кажутся «вынужденными» извне; Многие ощущения напоминают то, что создали основатели, даже если они были бы недоступны вне контекста YC ([[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]). Эти действия не оформляются как «практика». Они созданы как делающие ([[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]).
Y Combinator также предлагает «Startup School», упрощенную версию той же программы для дистанционного обучения. У меня сложилось впечатление, что он не предлагает такой же последовательности в разыгрываемом опыте, но он был бы очень мощным, если бы это было (см. [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]]).